diff --git a/code/03_TaxonomicBackbone.Rmd b/code/03_TaxonomicBackbone.Rmd
index cb35c519004c1135bf42a7ac8e76b4079afa315c..575af3ee0bb4d0b740085ab0ab900adf9d6221a1 100644
--- a/code/03_TaxonomicBackbone.Rmd
+++ b/code/03_TaxonomicBackbone.Rmd
@@ -29,7 +29,7 @@ urlcolor: blue
 **Version:** 1.3  
 
 **Changes to Version 1.1** Additional manual cleaning of species names from BJA, UJ and HB.  
-**Changes to Version 1.2** Changed order of ranking TNRS databases, when a name is matched across more than 1 DB; Using cleaned version of DT table (after stripping non-closed quotation marks). Additionally check with TPL those species that, even if resolved in TNRS, did not return an accepted name.
+**Changes to Version 1.2** Changed order of ranking TNRS databases, when a name is matched across more than 1 DB; Using cleaned version of DT table (after stripping non-closed quotation marks). Additionally check with TPL those species that, even if resolved in TNRS, did not return an accepted name.  
 **Changes to Version 1.3** Manual check of names BEFORE matching with TNRS
 
 
@@ -696,7 +696,8 @@ spec.list.TRY.sPlot <- spec.list.TRY.sPlot %>%
   mutate(Species=gsub('Zwstr faurea', 'Faurea', Species)) %>% 
   mutate(Species=gsub('Quercus crispla', 'Quercus crispula', Species)) %>% 
   mutate(Species=gsub('Corallorrhiza', 'Corallorhiza', Species)) %>% 
-  mutate(Species=gsub('Brunella vulgaris', 'Prunella vulgaris', Species))
+  mutate(Species=gsub('Brunella vulgaris', 'Prunella vulgaris', Species)) %>% 
+  mutate(Species=gsub('Lamprothamnum', 'Lamprothamnium', Species))
 ```
 
 A total of `r nrow(spec.list.TRY.sPlot %>% filter(OriginalNames != Species))` species names were modified. Although substantially improved, the species list has still quite a lot of inconsistencies.
@@ -1271,7 +1272,7 @@ load("../_derived/TNRS_submit/tnrs.iter3.RData")
 load("../_derived/TNRS_submit/tnrs.iter4.RData")
 
 #Double check of wrong taxa from TNRS
-finalcheck <- c("Salix repens subsp. repens var. repens","Hieracium lachenalii")
+finalcheck <- c("Salix repens subsp. repens var. repens","Hieracium lachenalii", "Lamprothamnium papulosum")
 tpl.ncbi.certain <- tpl.ncbi.certain %>% 
   bind_rows(TPL(finalcheck))
 
@@ -1291,6 +1292,8 @@ Backbone <- spec.list.TRY.sPlot %>%
   dplyr::select(Name_sPlot_TRY, Name_string_corr1, Name_string_corr2, Source, Name_submitted) %>%
   rename(sPlot_TRY=Source) %>%
   left_join(tnrs.res.certain %>%
+              #filter out wrongly matches species 
+              filter(!Name_submitted %in% finalcheck) %>% 
               #filter(!is.na(Accepted_name)) %>% 
               bind_rows(tnrs.res.iter2.certain) %>%
               bind_rows(tnrs.ncbi.certain) %>%
@@ -2012,7 +2015,7 @@ algae_diatoms <- c("Sargassaceae", "Chordaceae", "Cocconeidaceae", "Desmarestiac
                    "Chordariaceae", "Dinobryaceae", "Diploneidaceae", "Ectocarpaceae",
                    "Fragilariaceae","Sphacelariaceae","Vaucheriaceae" ,
                    "Amphipleuraceae",  "Fucaceae", "Gomphonemataceae", "Melosiraceae",
-                   "Laminariaceae","Acinetosporaceae" ,"Botryochloridaceae",
+                   "Laminariaceae","Acinetosporaceae" ,"Botryochloridaceae",  "Lamprothamnium",
                    #diatoms below
                    "Thalassiosiraceae", "Cymbellaceae", "Naviculaceae","Bacillariaceae")
 
diff --git a/code/04_buildHeader.Rmd b/code/04_buildHeader.Rmd
index b6119120049c648e2e7449b78ec2c5b2480db468..3aae24579880c85674d835ea7e272cc011cceced 100644
--- a/code/04_buildHeader.Rmd
+++ b/code/04_buildHeader.Rmd
@@ -10,17 +10,19 @@ output: html_document
   ![](/data/sPlot/users/Francesco/_sPlot_Management/splot-long-rgb.png "sPlot Logo")
 </center>
 
-MEMO : Exclude plots from CANADA and adjust DT2, CWMs & SoilClim (at the moment code is here, but eval=F)  
-MEMO : There are ~2000 without country information from these datasets:
-EcoPlant Db, Germany_vegetweb, Greece_nat2000, Russia_volga, Spain_sivim_sclerophyllous, Spain_sivim_sclerophyllous_pinus, Egypt Nile delta  
 \newline
   
 **Timestamp:** `r date()`  
 **Drafted:** Francesco Maria Sabatini  
-**Revised:**  
-**version:** 1.0
+**Revised:** Helge Bruelheide    
+**Version:** 1.1  
 
-This report documents the construction of the header file for sPlot 3.0. It is based on dataset sPlot_3.0.2, received on 24/07/2019 from Stephan Hennekens.    
+This report documents the construction of the header file for sPlot 3.0. It is based on dataset sPlot_3.0.2, received on 24/07/2019 from Stephan Hennekens.  
+
+*Changes in version 1.1.*  
+1) Excluded plots from Canada, as recommended by Custodian  
+2) Filled missing info from most of the ~2000 plots without country information from these datasets.  
+3) Corrected mismatched sBiomes and ecoregions  
 
 
 ```{r results="hide", message=F, warning=F}
@@ -50,6 +52,8 @@ rasterOptions(tmpdir="/data/sPlot/users/Francesco/_tmp")
 ```
 
  
+## 1 Import data
+Import header data. Clean header data from quotation and double quotation marks from linux terminal.
 ```{bash, eval=F}
 # escape all double quotation marks. Run in Linux terminal
 #sed 's/"/\\"/g' sPlot_3_0_2_header.csv > sPlot_3_0_2_header_test.csv
@@ -57,12 +61,9 @@ rasterOptions(tmpdir="/data/sPlot/users/Francesco/_tmp")
 #more general alternative in case some " are already escaped
 ##first removing \s before all "s, and then adding \ before all ":
 #sed 's/\([^\\]\)"/\1\\\"/g; s/"/\\"/g'
-
-
 ```
 
-## 1 Import data
-Import header data
+Import cleaned header data.
 ```{r import}
 header0 <- readr::read_delim("../sPlot_data_export/sPlot_3_0_2_header_test.csv", locale = locale(encoding = 'UTF-8'),
                             delim="\t", col_types=cols(
@@ -148,9 +149,9 @@ Fadum01, 02 & 03 - 1707779:1707781
 Faers01 - 1707782  
 Pfe-f-08 - 1707849  
 Pfe-o-05- 1707854  
-```{r, eval=F}
+```{r, eval=T}
 header0 <- header0 %>% 
-  filter(PlotObservationID != c(1707776, 1707779:1707782, 1707849, 1707854))
+  filter(!PlotObservationID %in% c(1707776, 1707779:1707782, 1707849, 1707854))
 ```
 
 
@@ -312,7 +313,7 @@ header <- header %>%
 
 ## 4 Assign plots to spatial descriptors
 Create spatial point dataframe for sPlot data to intersect with spatial layers
-```{r}
+```{r, eval=F}
 header.shp <- header %>%
   filter(!is.na(Longitude) | !is.na(Latitude))
 header.shp <- SpatialPointsDataFrame(coords= header.shp %>% 
@@ -323,6 +324,16 @@ header.shp <- SpatialPointsDataFrame(coords= header.shp %>%
                                                `GIVD ID`=header.shp$`GIVD ID`))
 writeOGR(header.shp, dsn="../_derived/", layer="header.shp", driver="ESRI Shapefile", overwrite_layer = T)
 ```
+Reimport shapefile
+```{r}
+header.shp <- readOGR("../_derived/header.shp.shp")
+header.shp@data <- header.shp@data %>% 
+  rename(PlotObservationID=PltObID, 
+         loc.uncert=lc_ncrt,
+         `GIVD ID`=GIVD_ID)
+crs(header.shp) <- CRS("+init=epsg:4326")
+```
+
 
 ### 4.1 Assign to Continents
 Download and manipulate map of continents
@@ -377,14 +388,14 @@ Reload, manipulate continent and attach to header
 ```{r}
 load("../_derived/continent.out")
 header <- header %>% 
-  left_join(header %>% 
-              filter(!is.na(Longitude) | !is.na(Latitude)) %>% 
+  left_join(header.shp@data %>% 
               dplyr::select(PlotObservationID) %>% 
-              bind_cols(continent.out), 
+              bind_cols(continent.out),
             by="PlotObservationID") %>% 
   mutate(CONTINENT=factor(continent, 
                             levels=c("Africa", "Antarctica", "Australia", "Eurasia", "North America", "South America"),
                             labels=c("AF", "AN", "AU", "EU", "NA", "SA"))) %>% 
+  
   dplyr::select(-continent)
 ```
 Summarize
@@ -425,10 +436,13 @@ stopCluster(cl)
 Reimport output and join to header
 ```{r, message=F, warning=F}
 sBiome.files <- list.files("../_derived/sBiomes", pattern="sBiomes-[0-9]+.csv", full.names=T)
+sBiome.files <- sBiome.files[order(as.numeric(str_extract(sBiome.files, pattern="[0-9]+")))]
 sBiomes.out <- do.call(rbind, lapply(sBiome.files, function(x) {read_csv(x)}))
+sBiomes.out <- header.shp@data %>% 
+  dplyr::select(PlotObservationID) %>% 
+  bind_cols(sBiomes.out)
 header <- header %>% 
   left_join(sBiomes.out %>% 
-              rename(PlotObservationID=X1) %>% 
               dplyr::select(PlotObservationID, Name, BiomeID) %>% 
               dplyr::rename(sBiome=Name, sBiomeID=BiomeID), 
             by="PlotObservationID")
@@ -446,6 +460,8 @@ knitr::kable(header %>%
                   full_width = F, position = "center")
 ```
 
+
+
 ### 4.3 Extract WWF Ecoregions
 Extract ecoregion name and ID from [Ecoregions of the World](https://www.worldwildlife.org/publications/terrestrial-ecoregions-of-the-world). Olson et al. 2001 [(BioScience)](https://academic.oup.com/bioscience/article/51/11/933/227116).  
 Computation was performed in EVE HPC cluster using function `A98_PredictorsExtract.R`. Divided in 99 chunks.
@@ -477,6 +493,7 @@ stopCluster(cl)
 Reimport output and join to header
 ```{r, message=F, warning=F}
 ecoreg.files <- list.files("../_derived/wwf_ecoregions/", pattern="wwf_terr_ecos-[0-9]+.csv", full.names=T)
+ecoreg.files <- ecoreg.files[order(as.numeric(str_extract(ecoreg.files, pattern="[0-9]+")))]
 ecoreg.out <- do.call(rbind, lapply(ecoreg.files, function(x) {read_csv(x, 
   col_types=cols(
     .default = col_double(),
@@ -484,9 +501,13 @@ ecoreg.out <- do.call(rbind, lapply(ecoreg.files, function(x) {read_csv(x,
     REALM = col_character(),
     G200_REGIO = col_character(),
     eco_code = col_character()))}))
+
+ecoreg.out <- header.shp@data %>% 
+  dplyr::select(PlotObservationID) %>% 
+  bind_cols(ecoreg.out)
+
 header <- header %>% 
   left_join(ecoreg.out %>% 
-              rename(PlotObservationID=X1) %>% 
               dplyr::select(PlotObservationID, ECO_NAME, ECO_ID) %>% 
               dplyr::rename(Ecoregion=ECO_NAME, EcoregionID=ECO_ID), 
             by="PlotObservationID")
@@ -512,7 +533,7 @@ knitr::kable(header %>%
 
 Extract elevation for each plot. Loops over tiles of 1 x 1°, projects to mercator, and extract elevation for plot coordinates, as well as 2.5, 50, and 97.5 quantiles for a buffer area having a radius equal to the location uncertainty of each plot (but only if location uncertainty < 50 km). DEM derive from package [elevatr](https://cran.r-project.org/web/packages/elevatr/vignettes/introduction_to_elevatr.html#get_raster_elevation_data), which uses the [Terrain Tiles on Amazon Web Services](https://registry.opendata.aws/terrain-tiles/). Resolutions of DEM rasters vary by region. I set a zoom factor z=10, which corresponds to ~ 75-150 m. Sources are: SRTM, data.gov.at in Austria, NRCAN in Canada, SRTM, NED/3DEP 1/3 arcsec, data.gov.uk in United Kingdom, INEGI in Mexico, ArcticDEM in latitudes above 60°, LINZ in New Zealand, Kartverket in Norway, as described [here](https://github.com/tilezen/joerd/blob/master/docs/data-sources.md).  
 \newline
-Split data into tiles of 1 x 1 degrees, and create `sp::SpatialPointsDataFrame` files. Only for plots having a location uncertainty < 50 km.
+Split data into tiles of 1 x 1 degrees, and create `sp::SpatialPointsDataFrame` files. Only for plots having a location uncertainty < 50 km, which corresponds to `r header.shp@data %>% mutate(lc_ncrt=abs(loc.uncert)) %>% filter(lc_ncrt <= 50000) %>% nrow()` plots.
 ```{r create tiles}
 header.tiles <- header %>%
   dplyr::select(PlotObservationID, Dataset, Longitude, Latitude, `Location uncertainty (m)`) %>%
@@ -665,7 +686,7 @@ summary(elevation.out %>%
           dplyr::select(-PlotObservationID, -elevation))
 
 ```
-There are `r sum(is.na(elevation.out$Elevation_median))` plots without elevation info, corresponding to `r round(sum(is.na(elevation.out$Elevation_median))/nrow(header)*100,1)`% of total.  
+There are `r sum(is.na(elevation.out$Elevation_median))` plots without elevation info, corresponding to `r round(sum(is.na(elevation.out$Elevation_median))/nrow(header)*100,1)`% of the number of matched plots. Please not that elevation was extracted only for plots with location uncertainty <50 km, i.e., `r header.shp@data %>% mutate(lc_ncrt=abs(loc.uncert)) %>% filter(lc_ncrt <= 50000) %>% nrow()` plots.   
 There are `r sum(elevation.out$Elevation_median < -1, na.rm=T)` plots with elevation below sea level.  
 \newline
 Join elevation data (only median)
@@ -710,9 +731,42 @@ ggplot(data=mydata) +
   geom_abline(slope=1, intercept=1, col="Dark green")
 ```
 
+## 4.5 Assign to countries
+There is a minor number of plots (`r header %>% filter(is.na(Country)) %>% nrow()`), not assigned to any countries. Fix that. 
+```{r}
+countries <- readOGR("../../Ancillary_Data/naturalearth/ne_110m_admin_0_countries.shp") 
+crs(countries) <- crs(header.shp)
+tmp.sel <- header %>% 
+  filter(is.na(Country)) %>% 
+  pull(PlotObservationID)
+
+header.shp.nocontry <- header.shp[which(header.shp$PlotObservationID %in% tmp.sel),]
+countries.out <- over(header.shp.nocontry, countries)
+
+header$Country <- as.character(header$Country)
+header$Country[tmp.sel] <- countries.out$NAME
+header$Country <- as.factor(header$Country)
+```
+Plots without country info are now only `r header %>% filter(is.na(Country)) %>% nrow()`.
+
 
 # 5 Map of plots
 
+Update header.shp
+```{r}
+header.shp@data <- header.shp@data %>% 
+  left_join(header %>% 
+          dplyr::select(PlotObservationID, sBiome, CONTINENT, 
+                        Ecoregion, GIVD.ID=`GIVD ID`), 
+            by="PlotObservationID") 
+
+header.sf <- header.shp %>% 
+  st_as_sf() %>% 
+  st_transform(crs = "+proj=eck4")
+```
+
+ 
+Basic Map of the world in Eckert projection
 ```{r, message=F, warning=F}
 countries <- ne_countries(returnclass = "sf") %>% 
   st_transform(crs = "+proj=eck4") %>% 
@@ -726,7 +780,7 @@ bb <- ne_download(type = "wgs84_bounding_box", category = "physical",
   st_transform(crs = "+proj=eck4") %>% 
   st_geometry()
 
-## basic graph of the world in Eckert projection
+
 w3a <- ggplot() +
   geom_sf(data = bb, col = "grey20", fill = "white") +
   geom_sf(data = graticules, col = "grey20", lwd = 0.1) +
@@ -781,10 +835,6 @@ ggsave(filename="../_pics/PlotDensityLog10_vir.png", width = 15, height = 7, uni
 
 Graph of plot location by Dataset
 ```{r, fig.align="center", fig.width=8, fig.height=4, cache=T, message=F}
-header.sf <- header.shp %>% 
-  st_as_sf() %>% 
-  st_transform(crs = "+proj=eck4")
-
 (w4 <- w3a + 
          geom_sf(data=header.sf %>% 
                    mutate(GIVD.ID=fct_shuffle(GIVD.ID)), aes(col=factor(GIVD.ID)), pch=16, size=0.8, alpha=0.6) +
@@ -794,6 +844,51 @@ header.sf <- header.shp %>%
 ggsave(filename="../_pics/PlotDistrib_Dark2_shuffle1984.png", width = 15, height = 7, units="in", dpi=300, plot=w4) ## takes ~40' to render
 ```
 
+Double check attribution to continents, Biomes and Ecoregions. Do it only on a subset of plots
+```{r, fig.align="center", fig.width=8, fig.height=7, message=F}
+tmp.sel <- header %>% 
+  group_by(sBiome) %>% 
+  sample_n(1000) %>% 
+  pull(PlotObservationID)
+
+#sBiomes
+(w5 <- w3a + 
+         geom_sf(data=header.sf %>% 
+                   filter(PlotObservationID %in% tmp.sel), 
+                 aes(col=factor(sBiome)), pch=16, size=0.8, alpha=0.6) +
+         geom_sf(data = countries, col = "grey10", fill=NA, lwd = 0.3))
+
+#continent
+tmp.sel <- header %>%
+  filter(CONTINENT!="AN") %>% 
+  group_by(CONTINENT) %>% 
+  sample_n(1000) %>% 
+  pull(PlotObservationID)
+(w6 <- w3a + 
+         geom_sf(data=header.sf %>% 
+                   filter(PlotObservationID %in% tmp.sel), 
+                 aes(col=factor(CONTINENT)), pch=16, size=0.8, alpha=0.6) +
+         geom_sf(data = countries, col = "grey10", fill=NA, lwd = 0.3))
+```
+
+
+```{r, fig.align="center", fig.width=8, fig.height=15, message=F}
+#Ecoregion - Only 10 random ecoregions tested
+tmp.sel <- header %>%
+  filter(Ecoregion %in% sample(unique(header$Ecoregion), 10)) %>% 
+  pull(PlotObservationID)
+(w7 <- w3a + 
+         geom_sf(data=header.sf %>% 
+                   filter(PlotObservationID %in% tmp.sel) %>% 
+                   mutate(Ecoregion=factor(Ecoregion)), 
+                 aes(col=factor(Ecoregion)), pch=16, size=0.8, alpha=0.6) +
+         geom_sf(data = countries, col = "grey10", fill=NA, lwd = 0.3) + 
+    theme(legend.position="bottom"))
+```
+
+
+
+
 ## 6 Fix output and export
 
 ```{r}
@@ -820,8 +915,8 @@ save(header, file = "../_output/header_sPlot3.0.RData")
 ```
 
 ```{r message=F,  echo=F}
-knitr::kable(header %>% slice(1:20), 
-  caption="Example of header (first 20 rows)") %>%
+knitr::kable(header %>% sample_n(20), 
+  caption="Example of header (20 random rows shown)") %>%
     kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive"), 
                   full_width = F, position = "center")
 ```
diff --git a/code/05_ExtractEnvironment.Rmd b/code/05_ExtractEnvironment.Rmd
index 787843adfe17c77462295bbf45d25619e81a3dbb..3038aca705f4f01e361e3bdd22cee7184b9a70d0 100644
--- a/code/05_ExtractEnvironment.Rmd
+++ b/code/05_ExtractEnvironment.Rmd
@@ -33,9 +33,6 @@ library(sf)
 library(rgeos)
 library(raster)
 library(rworldmap)
-#library(elevatr)
-#library(rnaturalearth)
-#library(dggridR)
 
 source("A98_PredictorsExtract.R")
 
@@ -44,7 +41,7 @@ write("TMPDIR = /data/sPlot/users/Francesco/_tmp", file=file.path(Sys.getenv('TM
 write("R_USER = /data/sPlot/users/Francesco/_tmp", file=file.path(Sys.getenv('R_USER'), '.Renviron'))
 rasterOptions(tmpdir="/data/sPlot/users/Francesco/_tmp")
 
-#Ancillary variables
+#Ancillary functions
 get.summary <- function(x){x %>% 
     summarize_all(.funs=list(num.NAs=~sum(is.na(.)), 
                              min=~min(., na.rm=T),
@@ -67,7 +64,7 @@ get.summary <- function(x){x %>%
 load("../_output/header_sPlot3.0.RData")
 ```
 
-Create spatial point dataframe for sPlot data to intersect with spatial layers. Include the fiels `Location uncertainty` to allow for fuzzy matching. Each plot was intersected with the corresponding layer of environmental (soil, climate) attributes accounting for their location uncertainty (minimum set to 250m). For computing reasons, the maximum location uncertainty was set to 10km. The user should therefore be aware that the variability in climate and soil features estimations may be underestimated for plots with very high location uncertainty.
+Create spatial point dataframe for sPlot data to intersect with spatial layers. Include the fields `Location uncertainty` to allow for fuzzy matching. Each plot was intersected with the corresponding layer of environmental (soil, climate) attributes accounting for their location uncertainty (minimum set to 250m). For computing reasons, the maximum location uncertainty was set to 10km. The user should therefore be aware that the variability in climate and soil features estimations may be underestimated for plots with very high location uncertainty.
 ```{r, eval=F}
 header.shp <- header %>%
   filter(!is.na(Longitude) | !is.na(Latitude))
@@ -124,7 +121,16 @@ for(i in 1:19){
 }
 ```
 Intersect `header.shp` with each raster of the CHELSA collection.  
-Performed in EVE HPC cluster using function `A98_PredictorsExtract.R`. Divided in 99 chunks.
+Performed in EVE HPC cluster using function `A98_PredictorsExtract.R`. ~~Divided in 99 chunks.~~
+```{shell, eval=F}
+#make sure to setup the right function (robust.mean\robust.sd) and the correct file type (raster) in submit-A98.sh 
+for pred in ls /data/splot/_data/Predictors/*.tif
+do
+qsub submit-A98.sh $pred
+done 
+```
+
+
 ```{r, warning=F, message=F, eval=F}
 header.shp.path <- "../_derived/header.shp.shp"
 
@@ -214,7 +220,7 @@ download(url.snd, "/data/sPlot/users/Francesco/Ancillary_Data/ISRIC/SNDPPT_M_sl2
 ```
 
 Intersect `header.shp` with each raster of the ISRIC collection.  
-Performed in EVE HPC cluster using function `A98_PredictorsExtract.R`. Divided in 99 chunks.
+Performed in EVE HPC cluster using function `A98_PredictorsExtract.R`. ~~Divided in 99 chunks.~~
 ```{r, message=F, eval=F}
 for(i in 1:8){
   ff <- list.files("/data/sPlot/users/Francesco/Ancillary_Data/ISRIC/", 
@@ -276,7 +282,8 @@ knitr::kable(tmp.sum,
 ```
 
 ## 4 Elevation variability
-Reimport output (calculated in `04_buildHeader`)
+Reimport output (calculated in `04_buildHeader`).  
+Extract elevation for each plot: mean and 2.5, 50, and 97.5 quantiles for a buffer area having a radius equal to the location uncertainty of each plot (but only if location uncertainty < 50 km). DEM derive from package [elevatr](https://cran.r-project.org/web/packages/elevatr/vignettes/introduction_to_elevatr.html#get_raster_elevation_data), which uses the [Terrain Tiles on Amazon Web Services](https://registry.opendata.aws/terrain-tiles/). Resolutions of DEM rasters vary by region. I set a zoom factor z=10, which corresponds to ~ 75-150 m. Sources are: SRTM, data.gov.at in Austria, NRCAN in Canada, SRTM, NED/3DEP 1/3 arcsec, data.gov.uk in United Kingdom, INEGI in Mexico, ArcticDEM in latitudes above 60°, LINZ in New Zealand, Kartverket in Norway, as described [here](https://github.com/tilezen/joerd/blob/master/docs/data-sources.md).  
 ```{r, message=F}
 elevation.out <- read_csv("../_derived/elevatr/elevation.out.csv")
 ```
diff --git a/code/06_buildDT.Rmd b/code/06_buildDT.Rmd
index 876ab29a8e6117416f610fd8ea891b9753e6853c..1979e32765363c7a16698fc9de9f36198b3ac509 100644
--- a/code/06_buildDT.Rmd
+++ b/code/06_buildDT.Rmd
@@ -10,20 +10,19 @@ output: html_document
   ![](/data/sPlot/users/Francesco/_sPlot_Management/splot-long-rgb.png "sPlot Logo")
 </center>
 
-
-MEMO!! WHAT TO DO WITH LAYER WHEN IS CONSISTENTLY ZERO IN A PLOT? CHANGE TO NA?
-WHAT TO DO INSTEAD WHEN LAYER==0 IN A PLOT WHERE LAYER INFO IS OTHERWISE AVAILABLE?
-!!! ADD Explanation of fields!!!
-
-
 **Timestamp:** `r date()`  
 **Drafted:** Francesco Maria Sabatini  
-**Revised:**  
-**version:** 1.0
+**Revised:** Helge Bruelheide  
+**Version:** 1.1  
 
 This report documents the construction of the DT table for sPlot 3.0. It is based on dataset sPlot_3.0.2, received on 24/07/2019 from Stephan Hennekens.    
-
-
+  
+Caution: Layer information is not available for all species in each plot. In case of missing information Layer is set to zero.   
+  
+*Changes in version 1.1*  
+1) Added explanation of fields  
+2) Fixed `taxon_group` of Friesodielsia  
+3) Only export the fields `Ab_scale` and `Abundance`  
 ```{r results="hide", message=F, warning=F}
 knitr::opts_chunk$set(echo = TRUE)
 library(tidyverse)
@@ -75,7 +74,7 @@ DT0 <- DT0 %>%
 ```
 
 
-Species data include `r nrow(DT0)` species * plot records, across `r nplots` plots. Before taxonomic resolution, there are `r nspecies` species .  
+The DT table includes `r nrow(DT0)` species * plot records, across `r nplots` plots. Before taxonomic resolution, there are `r nspecies` species .  
 \newline
 
 
@@ -173,7 +172,7 @@ DT1 <- DT1 %>%
 
 table(DT1$`Taxon group`, exclude=NULL)
 ```
-Those taxa for which a measuress of Basal Area exists can be safely assumed to belong to vascular plants 
+Those taxa for which a measures of Basal Area exists can be safely assumed to belong to vascular plants 
 
 ```{r}
 DT1 <- DT1 %>% 
@@ -234,7 +233,8 @@ mosses.gen    <- c("Hypnum", "Brachytheciastrum","Brachythecium","Hypnum",
                   "Zygodon", "Oxymitra", "Bryophyta", "Musci", '\\\"Moos\\\"')
 vascular.gen  <- c("Polystichum", "Hypericum", "Peltaria", "Pancovia", "Calythrix", "Ripogonum",
                   "Notogrammitis", "Fuscospora", "Lophozonia",  "Rostellularia", 
-                  "Hesperostipa", "Microsorium", "Angiosperm","Dicotyledonae", "Spermatophy")
+                  "Hesperostipa", "Microsorium", "Angiosperm","Dicotyledonae", "Spermatophy", 
+                  "Oxymitra", "Friesodielsia")
 alga.gen      <- c("Chara", "Characeae", "Tonina", "Nostoc", "Entermorpha", "Hydrocoleum" )
  
 DT1 <- DT1 %>% 
@@ -301,9 +301,9 @@ DT1 %>%
     slice(1:40)
 ```
 
-## Calculate relative cover per layer per species in each plot
+## Standardize abundance values
 
-Species abundance information varies across datasets and plots. While for the large majority of plots abundance values are returned as percentage cover, there is a subset where abundance is returned with different scales. These are marked in the column `Cover code` as follows:
+Species abundance information varies across datasets and plots. While for the large majority of plots abundance values are returned as percentage cover, there is a subset where abundance is returned with different scales. These are marked in the column `Cover code` as follows:  
 \newline \newline
 *x_BA* - Basal Area  
 *x_IC* - Individual count  
@@ -313,7 +313,7 @@ Species abundance information varies across datasets and plots. While for the la
 *x* - Presence absence  
 \newline \newline
 Still, it's not really intuitive that in case `Cover code` belongs to one of the classes above, then the actual abundance value is stored in the `x_` column. This stems from the way this data is stored in `TURBOVEG`.  
-To make the cover data more user friendly, I simplify the way cover is stored, so that there are only two columns:  
+To make the cover data more user friendly, I simplify the way cover it is stored, so that there are only two columns:  
 `Ab_scale` - to report the type of scale used  
 `Abundance` - to coalesce the cover\\abundance values previously in the columns `Cover %` and `x_`.  
 
@@ -327,7 +327,6 @@ DT1 <- DT1 %>%
 ```
 
 Fix some errors. There are some plots where all species have zeros in the field `Cover %`. Some of them are marked as p\\a (`Cover code=="x"`), but other not. Consider all this plots as presence\\absence and transform `Cover %` to 1.  
-!! There are some other plots having layers with all zeros. This should be double-checked, but are not being transformed here !!
 ```{r}
 allzeroes <- DT1 %>% 
   group_by(PlotObservationID) %>% 
@@ -411,8 +410,8 @@ nrow(scale_check)== length(unique(DT1$PlotObservationID))
 table(scale_check$Ab_scale_combined)
 ```
 
-
-Transform abundances to relative abundance. For consistency with the previous version of sPlot, this field is called `Relative cover`.  
+## Calculate species' relative covers in each plot
+Transform abundances to relative abundance. For consistency with the previous version of sPlot, this field is called `Relative_cover`.  
 *Watch out* - Even plots with p\\a information are transformed to relative cover.  
 ```{r}
 DT1 <- DT1 %>% 
@@ -439,14 +438,17 @@ DT1 %>%
 ```{r}
 DT2 <- DT1 %>% 
   dplyr::select(PlotObservationID, Name_short, `Turboveg2 concept`, Rank_correct, `Taxon group`, Layer:x_, Ab_scale, Abundance, Relative.cover ) %>% 
-  rename(species_original=`Turboveg2 concept`, 
-         species=Name_short,
-         taxon_group=`Taxon group`, 
-         cover_perc=`Cover %`, 
-         cover_code=`Cover code`)
+  rename(Species_original=`Turboveg2 concept`, 
+         Species=Name_short,
+         Taxon_group=`Taxon group`, 
+         Cover_perc=`Cover %`, 
+         Cover_code=`Cover code`, 
+         Relative_cover=Relative.cover) %>% 
+  ## change in Version 1.1.
+  dplyr::select(-x_, -Cover_perc)
 ```
 
-The output of the DT table contains `r nrow(DT2)` records, over `r length(unique(DT2$PlotObservationID))` plots. The total number of taxa is `r length(unique(DT2$species_original))` and `r length(unique(DT2$species))`, before and after standardization, respectively. Information on the `Taxon group` is available for `r DT2 %>% filter(taxon_group!="Unknown") %>% distinct(species) %>% nrow()` standardized species.
+The output of the DT table contains `r nrow(DT2)` records, over `r length(unique(DT2$PlotObservationID))` plots. The total number of taxa is `r length(unique(DT2$Species_original))` and `r length(unique(DT2$species))`, before and after standardization, respectively. Information on the `Taxon group` is available for `r DT2 %>% filter(Taxon_group!="Unknown") %>% distinct(Species) %>% nrow()` standardized species.
 
 ```{r, echo=F}
 knitr::kable(DT2 %>%
@@ -455,6 +457,18 @@ knitr::kable(DT2 %>%
     kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive"), 
                   full_width = F, position = "center")
 ```
+## Field List
+
+- `PlotObservationID` - Plot ID, as in `header`.  
+- `Species` - Resolved species name, based on taxonomic backbone  
+- `Species_original` - Original species name, as provided by data contributor.  
+- `Rank_correct` - Taxonomic rank at which `Species_original` was matched.  
+- `Taxon_group` - Possible entries are: *Alga_Stonewort*, *Lichen*, *Moss*, *Vascular plant*, *Unknown*.  
+- `Layer` - Vegetation layer, as specified in Turboveg: *0*: No layer specified, *1*: Upper tree layer, *2*: Middle tree layer, *3*: Lower tree layer, *4*: Upper shrub layer, *5*: Lower shrub layer, *6*: Herb layer, *7*: Juvenile, *8*: Seedling, *9*: Moss layer.  
+- `Cover_code` - Cover\\abundance value in original data, before transformation to percentage cover.  
+- `Ab_scale` - Abundance scale in original data. Possible values are: *CoverPerc*: Cover Percentage, *pa*: Presence absence, *x_BA*: Basal Area, *x_IC*: Individual count, *x_SC*: Stem count, *x_IV*: Relative Importance, *x_RF*: Relative Frequency.  
+- `Abundance` - Abundance value, in original value, or as transformed from original `Cover code` to quantitative values.  
+- `Relative_cover` - Abundance of each species after being normalized to 1 in each plot.  
 
 
 ```{r}
diff --git a/code/07_buildCWMs.Rmd b/code/07_buildCWMs.Rmd
index 46718ee3a370cbabbfbeb07cb73590e27b979acb..0e128cc4199df289b873f0cf526107ffd91d3375 100644
--- a/code/07_buildCWMs.Rmd
+++ b/code/07_buildCWMs.Rmd
@@ -10,7 +10,6 @@ output: html_document
   ![](/data/sPlot/users/Francesco/_sPlot_Management/splot-long-rgb.png "sPlot Logo")
 </center>
 
-  
 **Timestamp:** `r date()`  
 **Drafted:** Francesco Maria Sabatini  
 **Revised:**  
@@ -18,6 +17,8 @@ output: html_document
   
 This reports documents 1) the construction of Community Weighted Means (CWMs) and Variance (CWVs); and 2) the classification of plots into forest\\non-forest based on species growth forms. It complements species composition data from sPlot 3.0 and gap-filled plant functional traits from TRY 5.0, as received by [Jens Kattge](jkattge@bgc-jena.mpg.de) on Jan 21, 2020. 
 
+*Changes in version 1.1* - Standardized Growth form names in sPlot_traits.  
+
 ```{r results="hide", message=F, warning=F}
 library(tidyverse)
 library(readr)
@@ -31,8 +32,10 @@ library(viridis)
 
 # 1 Data import, preparation and cleaning 
 ```{r}
-load("../_output/DT_sPlot3.0.RData")
+#load("/data/sPlot/releases/sPlot3.0/DT_sPlot3.0.RData")
+#load("/data/sPlot/releases/sPlot3.0/Backbone3.0.RData")
 load("../_output/Backbone3.0.RData")
+load("../_output/DT_sPlot3.0.RData")
 ```
 
 Import TRY data
@@ -87,10 +90,10 @@ After attaching resolved names, TRY data contains information on `r try.species.
 Check for how many of the species in sPlot, trait information is available in TRY.
 ```{r}
 sPlot.species <- DT2 %>% 
-  distinct(species) 
+  distinct(Species) 
 
 sPlot.in.TRY <- sPlot.species %>% 
-  filter(species %in% (try.species.names %>% 
+  filter(Species %in% (try.species.names %>% 
                                   distinct(Name_short) %>% 
                                   pull(Name_short))) 
 ```
@@ -203,7 +206,7 @@ This results in the exclusion of `r length(unique(c(toexclude, toexclude2, toexc
 ## Calculate species level trait means and sd. 
 try.species.means <- try.individuals %>% 
   group_by(Name_short) %>% 
-  #Add a field to indicate the number of observation per taxon
+  #Add a field to indicate the number of observations per taxon
   left_join(x={.} %>% 
               summarize(n=n()), 
             y={.} %>% 
@@ -246,10 +249,10 @@ try.combined.means <- try.genus.means %>%
   dplyr::select(Taxon_name, Rank_correct, everything())
 
 total.matches <- DT2 %>%
-  distinct(species, Rank_correct) %>%
+  distinct(Species, Rank_correct) %>%
   left_join(try.combined.means %>%
-              dplyr::rename(species=Taxon_name), 
-            by=c("species", "Rank_correct")) %>% 
+              dplyr::rename(Species=Taxon_name), 
+            by=c("Species", "Rank_correct")) %>% 
   filter(!is.na(SLA_mean)) %>% 
   nrow()
 ```
@@ -271,7 +274,9 @@ mysummary <- try.combined.means %>%
   separate(variable, sep="_", into=c("variable", "mean.sd", "stat")) %>% 
   mutate(stat=factor(stat, levels=c("min", "q025", "q50", "q75", "max", "mean", "sd"))) %>% 
   spread(key=stat, value=value) %>% 
-  arrange(desc(Rank_correct))
+  arrange(desc(Rank_correct)) %>% 
+  mutate_at(.vars=vars(min:sd),
+            .funs=~round(.,3))
   
 ```
 
@@ -297,16 +302,16 @@ combine.cover <- function(x){
 }
 
 DT2.comb <- DT2 %>% 
-  group_by(PlotObservationID, species, Rank_correct) %>% 
-  summarize(Relative.cover=combine.cover(Relative.cover)) %>%
+  group_by(PlotObservationID, Species, Rank_correct) %>% 
+  summarize(Relative_cover=combine.cover(Relative_cover)) %>%
   ungroup() %>% 
   # re-normalize to 100%
   left_join(x=., 
             y={.} %>% 
               group_by(PlotObservationID) %>% 
-              summarize(Tot.cover=sum(Relative.cover)), 
+              summarize(Tot.cover=sum(Relative_cover)), 
             by="PlotObservationID") %>% 
-  mutate(Relative.cover=Relative.cover/Tot.cover) %>% 
+  mutate(Relative_cover=Relative_cover/Tot.cover) %>% 
   dplyr::select(-Tot.cover)
 
 ```
@@ -327,21 +332,21 @@ length(any_pa)
 CWM0 <- DT2.comb %>%
   filter(!PlotObservationID %in% any_pa) %>% 
   left_join(try.combined.means %>%
-              dplyr::rename(species=Taxon_name) %>% 
-              dplyr::select(species, Rank_correct, ends_with("_mean")), 
-            by=c("species", "Rank_correct"))
+              dplyr::rename(Species=Taxon_name) %>% 
+              dplyr::select(Species, Rank_correct, ends_with("_mean")), 
+            by=c("Species", "Rank_correct"))
 
 # Calculate CWM for each trait in each plot
 CWM1 <- CWM0 %>%
   group_by(PlotObservationID) %>%
   summarize_at(.vars= vars(StemDens_mean:LeafWaterCont_mean),
-               .funs = list(~weighted.mean(., Relative.cover, na.rm=T))) %>%
+               .funs = list(~weighted.mean(., Relative_cover, na.rm=T))) %>%
   dplyr::select(PlotObservationID, order(colnames(.))) %>%
   gather(key=variable, value=CWM, -PlotObservationID)
 
 # Calculate coverage for each trait in each plot
 CWM2 <- CWM0 %>%
-  mutate_at(.funs = list(~if_else(is.na(.),0,1) * Relative.cover), 
+  mutate_at(.funs = list(~if_else(is.na(.),0,1) * Relative_cover), 
             .vars = vars(StemDens_mean:LeafWaterCont_mean)) %>%
   group_by(PlotObservationID) %>%
   summarize_at(.vars= vars(StemDens_mean:LeafWaterCont_mean),
@@ -369,7 +374,7 @@ variance2.fun <- function(trait, abu){
 CWM3 <- CWM0 %>%
   group_by(PlotObservationID) %>%
   summarize_at(.vars= vars(StemDens_mean:LeafWaterCont_mean),
-               .funs = list(~variance2.fun(., Relative.cover))) %>%
+               .funs = list(~variance2.fun(., Relative_cover))) %>%
   dplyr::select(PlotObservationID, order(colnames(.))) %>%
   gather(key=variable, value=CWV, -PlotObservationID)
 
@@ -501,17 +506,17 @@ We used different sources of information:
 **Step 1**: Attach growth form trait information to DT table. Growth form information derives from TRY
 ```{r}
 DT.gf <- DT2 %>% 
-  filter(taxon_group=="Vascular plant") %>% 
+  filter(Taxon_group=="Vascular plant") %>% 
   #join with try names, using resolved species names as key
   left_join(try.species.names %>% 
               dplyr::select(Name_short, GrowthForm) %>% 
-              rename(species=Name_short) %>% 
-              distinct(species, .keep_all=T), 
-            by="species") %>% 
+              rename(Species=Name_short) %>% 
+              distinct(Species, .keep_all=T), 
+            by="Species") %>% 
   left_join(try.species.means %>% 
               dplyr::select(Name_short, PlantHeight_mean) %>% 
-              rename(species=Name_short), 
-            by="species")
+              rename(Species=Name_short), 
+            by="Species")
 # number of records withouth Growth Form info
 sum(is.na(DT.gf$GrowthForm))
 ```
@@ -520,10 +525,11 @@ sum(is.na(DT.gf$GrowthForm))
 ```{r}
 top.gf.nas <- DT.gf %>% 
   filter(is.na(GrowthForm)) %>% 
-  group_by(species) %>% 
+  group_by(Species) %>% 
   summarize(n=n()) %>% 
   arrange(desc(n))
 ```
+
 ```{r, eval=F, message=F}
 write_csv(top.gf.nas %>% 
             filter(n>1000), 
@@ -537,8 +543,8 @@ gf.manual <- read_csv("../_derived/Species_missingGF_complete.csv")
 
 DT.gf <- DT.gf %>% 
   left_join(gf.manual %>% 
-              rename(GrowthForm.m=GrowthForm),
-            by="species") %>% 
+              rename(GrowthForm.m=GrowthForm, Species=species),
+            by="Species") %>% 
    mutate(GrowthForm=coalesce(GrowthForm, GrowthForm.m)) %>% 
    dplyr::select(-GrowthForm.m)
 ```
@@ -561,7 +567,7 @@ all.gf <- all.gf0 %>%
   distinct(AccSpeciesName, OrigValueStr) %>% 
   rename(GrowthForm0=OrigValueStr) %>% 
   mutate(GrowthForm0=tolower(GrowthForm0)) %>%
-  filter(AccSpeciesName %in% sPlot.species$species) %>% 
+  filter(AccSpeciesName %in% sPlot.species$Species) %>% 
   mutate(GrowthForm_simplified= GrowthForm0) %>% 
   mutate(GrowthForm_simplified=replace(GrowthForm_simplified, 
                                        list=str_detect(GrowthForm0,
@@ -602,8 +608,8 @@ table(all.gf$GrowthForm_simplified, exclude=NULL)
 #coalesce this info into DT.gf
 DT.gf <- DT.gf %>% 
   left_join(all.gf %>% 
-              rename(species=AccSpeciesName), 
-            by="species") %>% 
+              rename(Species=AccSpeciesName), 
+            by="Species") %>% 
   mutate(GrowthForm=coalesce(GrowthForm, GrowthForm_simplified)) %>% 
   dplyr::select(-GrowthForm_simplified)
 ```
@@ -613,12 +619,12 @@ DT.gf <- DT.gf %>%
 other.trees <- DT.gf %>% 
   filter(Layer==1 & is.na(GrowthForm)) %>% 
   filter(Rank_correct=="species") %>% 
-  distinct(species, Layer, GrowthForm) %>% 
-  pull(species)
+  distinct(Species, Layer, GrowthForm) %>% 
+  pull(Species)
 
 DT.gf <- DT.gf %>% 
   mutate(GrowthForm=replace(GrowthForm, 
-                            list=species %in% other.trees, 
+                            list=Species %in% other.trees, 
                             values="tree"))
 ```
 After cross-matching, the number of records without growth form information decresead to `r sum(is.na(DT.gf$GrowthForm))`.  
@@ -626,7 +632,7 @@ After cross-matching, the number of records without growth form information decr
 
 ```{r, echo=F}
 knitr::kable(DT.gf %>% 
-              distinct(species, GrowthForm, PlantHeight_mean) %>% 
+              distinct(Species, GrowthForm, PlantHeight_mean) %>% 
               group_by(GrowthForm) %>% 
               summarize(Height=mean(PlantHeight_mean, na.rm=T)), 
   caption="Average height per growth form", digits = 3) %>%
@@ -639,8 +645,8 @@ Define a species as `is.tree.or.tall.shrub` when it is either defined as tree, O
 Define a species as `is.not.tree.or.shrub.and.small` when it has a height <10, as long as it's not defined a tree. When height is not available, it is sufficient that the species is classified as "herb" or "other".
 ```{r}
 GF <- DT.gf %>% 
-  distinct(species, GrowthForm, PlantHeight_mean) %>% 
-  mutate(GrowthForm=fct_collape(GrowthForm, 
+  distinct(Species, GrowthForm, PlantHeight_mean) %>% 
+  mutate(GrowthForm=fct_collapse(GrowthForm, 
                                  "herb/shrub"=c("herb\\shrub","herb/shrub"), 
                                  "shrub/tree"=c("shrub/tree", "shrub\\tree"))) %>% 
   ## define is.tree.or.tall
@@ -731,11 +737,11 @@ plot.vegtype2 <- DT.gf %>%
   filter(Layer %in% c(1,2,3)) %>% 
   # first sum the cover of all species in a layer
   group_by(PlotObservationID, Layer) %>% 
-  summarize(cover_perc=sum(cover_perc)) %>% 
+  summarize(Cover_perc=sum(Abundance)) %>% 
   # then combine cover across layers
   group_by(PlotObservationID) %>% 
-  summarize(cover_perc=combine.cover(cover_perc)) %>% 
-  mutate(is.forest=cover_perc>=25) 
+  summarize(Cover_perc=combine.cover(Cover_perc)) %>% 
+  mutate(is.forest=Cover_perc>=25) 
 
 table(plot.vegtype1 %>% dplyr::select(is.forest), exclude=NULL)
 
@@ -746,11 +752,11 @@ plot.vegtype3 <- DT.gf %>%
   #filter plots where all records are recorded as percentage cover
   filter(PlotObservationID %in% mysel ) %>% 
   # combine cover across layers
-  group_by(PlotObservationID, species) %>%
-  summarize(cover_perc=combine.cover(cover_perc)) %>%
+  group_by(PlotObservationID, Species) %>%
+  summarize(cover_perc=combine.cover(Abundance)) %>%
   ungroup() %>% 
   # attach species Growth Form information
-  left_join(GF, by="species")%>% 
+  left_join(GF, by="Species")%>% 
   group_by(PlotObservationID) %>% 
   summarize(cover_tree=sum(cover_perc*is.tree.or.tall.shrub, na.rm=T), 
             cover_non_tree=sum(cover_perc*(!is.tree.or.tall.shrub), na.rm=T), 
@@ -860,15 +866,21 @@ The total number of plots with attribution to forest\\non-forest (either coming
 # 4 Export and update other objects
 ```{r}
 sPlot.traits <- sPlot.species %>% 
-  arrange(species) %>% 
+  arrange(Species) %>% 
   left_join(GF %>% 
-              dplyr::select(species, GrowthForm, is.tree.or.tall.shrub), 
-            by="species") %>% 
+              dplyr::select(Species, GrowthForm, is.tree.or.tall.shrub), 
+            by="Species") %>% 
   left_join(try.combined.means %>% 
-              rename(species=Taxon_name), by="species") %>% 
+              rename(Species=Taxon_name), by="Species") %>% 
+  ## some entries are duplicated (both at species and Genus level)
+  ## Keep only genus-level averages
+  group_by(Species) %>% 
+  arrange(desc(n)) %>% 
+  slice(1) %>% 
+  ungroup() %>% 
   dplyr::select(-Rank_correct)
   
-save(try.combined.means, CWM, sPlot.traits, file="../_output/Traits_CWMs_sPlot3.RData")
+save(try.combined.means, CWM, sPlot.traits, trait.legend, file="../_output/Traits_CWMs_sPlot3.RData")
 
 header <- header %>% 
   left_join(plot.vegtype %>% 
diff --git a/code/08_Documentation.Rmd b/code/08_Documentation.Rmd
new file mode 100644
index 0000000000000000000000000000000000000000..fe090dcbf08f26bac7dd445a2290c112c63ea5a0
--- /dev/null
+++ b/code/08_Documentation.Rmd
@@ -0,0 +1,412 @@
+---
+title: "sPlot 3 - Documentation"
+author: "Francesco Maria Sabatini"
+date: "11/30/2020"
+output: 
+  html_document:
+    number_sections: true
+    toc: true
+    toc_depth: 2
+---
+
+<center>
+  ![](/data/sPlot/users/Francesco/_sPlot_Management/splot-long-rgb.png "sPlot Logo")
+</center>
+
+**Timestamp:** `r date()`  
+**Drafted:** Francesco Maria Sabatini  
+**Revised:**  
+**version:** 1.0
+  
+This reports describes and provides a basic summary of the objects composing the working version of sPlot 3.0.
+
+```{r results="hide", message=F, warning=F}
+library(tidyverse)
+library(knitr)
+library(kableExtra)
+```
+
+# Taxonomic Backbone
+The taxonomic backbone is a resolved list of species names from either sPlot or TRY, which allows to:  
+1) Match functional traits to species in sPlot, based on a common nomenclature.  
+2) Resolve synonyms and correct spelling mistakes in species names, so to allow matching species across the datasets constituting sPlot.  
+The construction of the Backbone is documented at https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/03_TaxonomicBackbone.html (download needed)
+```{r}
+load("../_output/Backbone3.0.RData")
+```
+## Show output
+```{r echo=F}
+knitr::kable(Backbone %>% 
+               sample_n(20), 
+  caption="Example of Backbone (only 20 randomly selected taxa shown)") %>%
+    kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive"), 
+                  latex_options = "basic", 
+                  full_width = F, position = "center")
+```
+The Backbone contains `r nrow(Backbone)` taxon names. Of these, `r Backbone %>% filter(sPlot_TRY=="S") %>% nrow()` derive from sPlot.  
+
+## Description of fields
+
+The bulk of the taxonomic standardization was done using [TNRS](http://tnrs.iplantcollaborative.org/index.html) or [TPL](http://www.theplantlist.org/), accessed using the package [taxonstand](https://cran.r-project.org/web/packages/Taxonstand/index.html). Below, the list of fields comprised in the Backbone output.  
+<br>
+1. `Name_sPlot_TRY`: Taxon names, as derived from the Turboveg version of the original datasets.  
+2. `Name_string_corr1`: Taxon name after a first round of manual cleaning (e.g., some types, abbreviations).  
+3. `Name_string_corr2`: Taxon name after a second round of manual cleaning.  
+4. `sPlot_TRY`: Origin of the taxon name (S = sPlot, T = TRY, A = Alpine dataset, see Testolin et al. 2020).  
+<br>
+**The fields below derive from the output of [TNRS](http://tnrs.iplantcollaborative.org/index.html) (or TPL)** - See [here](http://tnrs.iplantcollaborative.org/instructions.html) for additional information.  
+5. `Name_submitted`: Taxon name, as submitted to the services of taxonomic resolution, either TNRS or TPL.  
+6. `Name_number`: Order of submission to TNRS or TPL.  
+7. `Overall_score`: Level of matching in TNRS or TPL (1=perfect match).  
+8. `Name_matched`: Scientific name with the highest match score. May be an exact match or a fuzzy match. This score does not include the author score.  
+9. `Name_matched_rank`: The lowest taxonomic rank for the name matched.  
+10. `Name_score`: Overall score for the name matched based on the TNRS ranking algorithm.  
+11. `Name_matched_author`: Standard authority for the matched name.  
+12. `Name_matched_url`: Web link for the matched name (where applicable).   
+13. `Author_matched`: Standard authority of the name with the highest match score name.  
+14. `Author_score`: Score assigned by the TNRS to indicate the level of similarity to the author submitted (where applicable). This field will be blank if the user did not submit an author with the name.  
+15. `Family_matched`:The closest matching family in the TNRS database to the family submitted. This field will be blank if you did not submit a family, or the family could not be matched.  
+16. `Family_score`: Score assigned by the TNRS to indicate the level of similarity to the family submitted (where applicable).  
+17. `Name_matched_accepted_family`: Family of the accepted name.  
+18. `Genus_matched`: The closest matching genus in the TNRS database to the genus submitted. This field will be blank if the genus submitted could not be matched.  
+19. `Genus_score`: Score assigned by the TNRS to indicate the level of similarity to the genus submitted.  
+20. `Specific_epithet_matched`: The specific epithet of closest matching species in the TNRS database to the species submitted. This field will be blank if the species submitted could not be matched.  
+21. `Specific_epithet_score`: Score assigned by the TNRS to indicate the level of similarity to the species submitted.  
+22. `Infraspecific_rank`: If an infraspecific taxon was submitted (subspecies, variety, etc.), this field provides the standardized rank abbreviation for that taxon (subspecies, variety, etc.).  
+23. `Infraspecific_epithet_matched`: The infraspecific epithet of closet matching subspecies or variety in the TNRS database to the subspecies or variety submitted. This field will be blank if no infraspecific taxon was submitted, or if the subspecies or variety could not be matched.  
+24. `Infraspecific_epithet_score`: Score assigned by the TNRS to indicate the level of similarity to the infraspecific taxon submitted.  
+25. `Infraspecific_rank_2`: If a quadrinomal taxon name was submitted, this field provides the standardized rank abbreviation for that taxon. For example, "Poa annua var. purpurea forma minima" would return "fo.".  
+26. `Infraspecific_epithet_2_matched`: The final epithet of closest matching quadrinomial infraspecific taxon in the TNRS database to the quadrinomial infraspecific taxon, for example "Poa annua var. purpurea forma minima". This field will be blank if a quadrinomial was not submitted or if the final epithet could not be matched.  
+27. `Infraspecific_epithet_2_score`: Score assigned by the TNRS to indicate the level of similarity to the lower infraspecific taxon (quadrinomial) submitted. This field will be blank if a quadrinomial was not submitted, or if the final epithet of the quadrinomial could not be matched.  
+28. `Annotations`: Any standardized botanical annotations of uncertainty embedded within the name, such as "cf." or "aff.", are removed and stored here.  
+29. `Unmatched_terms`:  	The complete trailing portion of the name not matched by the TNRS, minus any annotations.  
+30. `Taxonomic_status`: Where the submitted name is *Accepted*, *Synonym*, or not know (e.g., *No opinion*, *Invalid*, *Illegitimate*, *Misapplied*, *Unresolved*).  
+31. `Accepted_name`:  	The accepted (correct) scientific name of the name matched by the TNRS, according to the taxonomic source used. If the name matched is an accepted name, or if the TNRS indicated "No opinion" for the name matched, then acceptedName will be the same as Name_matched. If Name_matched is a synonymy, then Accepted_name will be different.   
+32. `Accepted_name_author`: Standard authority of the Accepted_name.  
+33. `Accepted_name_rank`: Taxonomic rank of the accepted Accepted_name.  
+34. `Accepted_name_url`: Web link for the accepted name (where applicable).  
+35. `Accepted_name_species`: The genus+species portion only of the Accepted_name. If the rank of the Accepted_name is species, then Accepted_species will be the same as Accepted_name. If the rank of the Accepted_name is higher than species, for example, if the Accepted_name is a genus, then this field will be blank.  
+36. `Accepted_name_family`: The accepted familial classification of the accepted name for the name matched by the TNRS.  
+37. `Selected`:  	Denotes the best match according to either taxonomic or maximum score.  
+38. `Source`: Source used for the resolution (for TNRS sources see [](http://tnrs.iplantcollaborative.org/sources.html)).  
+39. `Warnings`: If TNRS is unable to uncategorically resolve your submitted name to one best matched name in our database, a red warning flag will appear next to the submitted name.  
+40. `Accepted_name_lsid`: As exported by TNRS.  
+<br>
+**Below columns added specifically for this backbone** - These fields represent the actual output.    
+41. `Status_correct`: Simplification of `Taxonomic_status`.  
+42. `Name_correct`: If Accepted_name is non-null, otherwise returns `Name_matched`. This field represent the union of accepted + matched name.  
+43. `Genus_correct`: Genus derived from `Name_correct`, but only when `Accepted_name_rank` is lower than family.  
+44. `Rank_correct`: Simplification of `Accepted_name_rank`.  
+45. `Family_correct`: Family of `Name_correct`. Complements `Accepted_name_family` with multiple sources.  
+46. `Name_short`:  First two words of `Name_correct`.  
+47. `phylum`: As derived from `The Catalogue of Life`.    
+48. `is_vascular_species`: TRUE if the species is a vascular plant. It is derived based on selection of `phylum` from `The Catalogue of Life`.  
+49. `Taxon group`: Taxon group, as in Turboveg. Five possible entries. *Alga*, *Lichen*, *Moss*, *Vascular plant* or *Unknown*.  
+<br><br>
+The object `Backbone3.0.RData` also contains two ancillary vectors, which were use to refine the Backbone. These are:
+`lichen.genera` - a list of genera for lichen species contained in the Backbone; `mushroom` - a list of genera for mushroom species spotted in sPlot species list (and excluded); `mushroom.families` - a list of family names for mushroom spotted in sPlot (and excluded).  
+
+# Header
+The *header* object contains all plot-level information, including source and location. The description of its construction can be found at: https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/04_buildHeader.html (download needed).    
+Import data
+```{r}
+load("../_output/header_sPlot3.0.RData")
+```
+
+## Show output
+```{r echo=F}
+knitr::kable(header %>% 
+               sample_n(10), 
+  caption="Example of header (only 10 randomly selected plots shown)") %>%
+    kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive"), 
+                  latex_options = "basic", 
+                  full_width = F, position = "center")
+```
+sPlot 3.0 contains `r nrow(header)` Plots. 
+
+## Description of fields
+
+1. `PlotObservationID`: Identificator provided by Turboveg 3, unique for each plot.  
+2. `Dataset`: Name of source dataset.  
+3. `GIVD ID`: [GIVD](https://www.givd.info/) code of source dataset.  
+4. `TV2 relevé number`: Original number in the Turboveg 2 version of the source dataset.  
+5. `ORIG_NUM`: Original number of the plot in the source dataset.  
+6. `GUID`: GUID identifier, as created in Turboveg 2.  
+<br>
+**Geographic location**  
+7. `Longitude`: Degrees, WGS85.  
+8. `Latitude`: Degrees, WGS85.  
+9. `Location uncertainty (m)`: Uncertainty of geographic coordinates. Negative if estimated, instead of measured. 
+10. `Country`: Original country name in Turboveg 3.  
+11. `CONTINENT`: Continent.  
+12. `sBiome`: Biome, as defined in [Bruelheide et al. 2019 - JVS](https://onlinelibrary.wiley.com/doi/10.1111/jvs.12710).  
+13. `sBiomeID`: Biome ID, as defined in [Bruelheide et al. 2019 - JVS](https://onlinelibrary.wiley.com/doi/10.1111/jvs.12710) (see Appendix 5).   
+14. `Ecoregion`: [WWF Ecoregion](https://www.worldwildlife.org/publications/terrestrial-ecoregions-of-the-world)  
+15. `EcoregionID`: WWF ecoreigon ID.  
+16. `Locality`: As reported in the original data.  
+<br>
+**Sampling design**
+17. `Relevé area (m²)`: Size of the sampling plot.  
+18. `Cover abundance scale`: Cover\\abundance scale used in the field.  
+19. `Date of recording`: Date of sampling.  
+20. `Plants recorded`: Group of plants recorded in the field: e.g., "All vascular plants", "Woody plants with DBH > 10cm". In case of NA, it is mostly safe to assume that all vascular plants were recorded.  
+21. `Herbs identified (y/n)`: Y if herbs were identified (as opposed to woody species). In case of NA, it is mostly safe to assume that herbs were sampled and identified.  
+22. `Mosses identified (y/n)`: Y if mosses were identified. In case of NA, it is safe to assume that Mosses were NOT sampled.  
+23. `Lichens identified (y/n)`: Y if lichens were identified. In case of NA, it is safe to assume that lichens were NOT sampled.   
+<br>
+**Topogaphy**
+24. `elevation_dem`: Elevation of plot, as derived from geographic coordinates (and averaged based on location uncertainty). 
+25. `Altitude (m)`: Elevation of plot, as measured in the field.  
+26. `Aspect (°)`: Topographical aspect of plot (in degrees).  
+27. `Slope (°)`: Topographical slope of plot (in degrees).  
+<br>
+**Vegetation types** - The fields Forest, Shrubland, Grassland, Wetland and  Sparse_vegetation are not mutually exclusive. Their combination identifies ecotones and transition vegetation types.  
+28. `Forest`: TRUE (=1) or Fals (=0). 
+29. `Shrubland`: TRUE (=1) or Fals (=0).  
+30. `Grassland`: TRUE (=1) or Fals (=0). 
+31. `Wetland`: TRUE (=1) or Fals (=0). 
+32. `Sparse.vegetation`: TRUE (=1) or Fals (=0). 
+33. `Naturalness`: 1=Natural, 2=Semi-natural, 3=Anthropogenic.  
+34. `ESY`: EUNIS Habitat Classification Expert system, as described in [Chytrý et al. (2020)](https://onlinelibrary.wiley.com/doi/full/10.1111/avsc.12519).  
+<br>
+**Vegetation structure**
+35. `Cover total (%)`: Total cover of vegetation.  
+36. `Cover tree layer (%)`: Total cover of tree layer.  
+37. `Cover shrub layer (%)`: Total cover of shrub layer.   
+38. `Cover herb layer (%)`: Total cover of herb layer.  
+39. `Cover moss layer (%)`: Total cover of moss layer.  
+40. `Cover lichen layer (%)`: Total cover of lichen layer.  
+41. `Cover algae layer (%)`: Total cover of algae layer.  
+42. `Cover litter layer (%)`: Total cover of litter layer.  
+43. `Cover open water (%)`: Total cover of open water.  
+44. `Cover bare rock (%)`: Total cover of bare rocks.  
+45. `Height (highest) trees (m)`: Height of the highest tree layer.  
+46. `Height lowest trees (m)`: Height of the lowest tree layer.  
+47. `Height (highest) shrubs (m)`: Height of the highest shrub layer.  
+48. `Height lowest shrubs (m)`: Height of the lowest shrub layer.  
+49. `Aver. height (high) herbs (cm)`: Average height of highest herb layer.  
+50. `Aver. height lowest herbs (cm)`: Average height of the lowest herb layer.  
+51. `Maximum height herbs (cm)`: Maximum height of herbs.  
+52. `Maximum height cryptogams (mm)`: Maximum height of cryptogams.  
+<br>
+Additional info on some of the fields is in [Bruelheide et al. 2019 - JVS](https://onlinelibrary.wiley.com/doi/10.1111/jvs.12710).
+
+# DT Table
+The DT table, contains information on which species was recorded in what plot, and with what abundance. The construction of the object `DT_sPlot3.0` is documented at https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/06_buildDT.html (download needed).  
+```{r}
+load("../_output/DT_sPlot3.0.RData")
+```
+
+## Show output
+```{r echo=F}
+knitr::kable(DT2 %>% 
+               filter(PlotObservationID %in% sample(header$PlotObservationID,3)), 
+  caption="Example of DT table (only species from three randomly selected plots shown)") %>%
+    kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive"), 
+                  latex_options = "basic", 
+                  full_width = F, position = "center")
+```
+The DT table contains `r nrow(DT2)` entries, from `r length(unique(DT2$Species))` species.  
+
+## Description of fields
+1. `PlotObservationID`: Plot ID (as in Header).  
+2. `Species`: Resolved species name (as derived from the field `name_short` in the Backbone).  
+3. `Species_original`: Original species name (before resolution, as in the field `name_sPlot_TRY` in the Backbone).  
+4. `Rank_correct`: Taxonomic rank of the corrected name (as in the homonymous field in the Backbone).  
+5. `Taxon_group`: Taxon group (as in the homonymous field in the Backbone).  
+6. `Layer`: Vegetation layer, as specified in Turboveg: *0*: No layer specified, *1*: Upper tree layer, *2*: Middle tree layer, *3*: Lower tree layer, *4*: Upper shrub layer, *5*: Lower shrub layer, *6*: Herb layer, *7*: Juvenile, *8*: Seedling, *9*: Moss layer.  
+7. `Cover_code`: Cover\\abundance code in original data, before transformation to quantitative value or percentage cover.  
+8. `Ab_scale`: Abundance scale in original data. Possible values are: *CoverPerc*: Cover Percentage, *pa*: Presence absence, *x_BA*: Basal Area, *x_IC*: Individual count, *x_SC*: Stem count, *x_IV*: Relative Importance, *x_RF*: Relative Frequency.  
+9. `Abundance`: Abundance value, in original value, or as transformed from original `Cover code` to quantitative values. 
+10. `Relative_cover`: Abundance\\Cover of each species after being normalized to 1 in each plot.  
+
+# Functional Traits and Community Weighted Means\\Variances
+The object `Traits_CWMs_sPlot3.RData` contains three data.frames:  
+1) data.frame `try.combined.means` - Mean and s.d. of gap-filled functional traits of all species in TRY 5.0.  
+2) data.frame `sPlot.traits` - Mean and s.d. of gap-filled functional traits of all species in sPlot.    
+3) data.frame `CWM` - Plot Community Weighted means and variances.  
+<br> 
+
+A detailed description of the construction of this object is available at: https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/07_buildCWMs.html (download needed)
+```{r}
+load("../_output/Traits_CWMs_sPlot3.RData")
+```
+## Show output
+Object `try.combined.means`.
+```{r echo=F}
+knitr::kable(try.combined.means %>% 
+               sample_n(10), 
+  caption="Example of trait table of TRY species (only 10 randomly selected species shown)") %>%
+    kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive"), 
+                  latex_options = "basic", 
+                  full_width = F, position = "center")
+```
+The object `try.combined.means` contains the average and standard deviation of the gap-filled trait values of `r nrow(try.combined.means)` taxa (species or genera) from TRY 5.0.  
+<br>
+
+Object `sPlot.traits`.
+```{r echo=F}
+knitr::kable(sPlot.traits %>% 
+               sample_n(10), 
+  caption="Example of trait table of sPlot species (only 10 randomly selected species shown)") %>%
+    kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive"), 
+                  latex_options = "basic", 
+                  full_width = F, position = "center")
+```
+The object `sPlot.traits` contains the average and standard deviation of the gap-filled trait values for `r sPlot.traits %>% filter(!is.na(SLA_mean)) %>% nrow()` taxa (species or genera), out of `r nrow(sPlot.traits)` in sPlot. It also contains growth form information for `r sPlot.traits %>% filter(!is.na(GrowthForm)) %>% nrow()` species. 
+
+<br>
+Object `CWM`.
+```{r echo=F}
+knitr::kable(CWM %>% 
+               sample_n(10), 
+  caption="Example of CWM table (only 10 randomly selected plots shown)") %>%
+    kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive"), 
+                  latex_options = "basic", 
+                  full_width = F, position = "center")
+```
+The CWM table contains `r nrow(CWM)` entries, i.e., the combination between `r CWM %>% distinct(PlotObservationID) %>% nrow()` unique plots, and `r CWM %>% distinct(variable) %>% nrow()`. 
+
+
+
+
+## Description of fields
+
+**Legend of traits** used in the data.frame `sPlot.traits` and `try.combined.means`. The number represents the code in TRY dictionary. The abbreviation used is reported after the trait description.  
+<br>
+4 	Stem specific density (SSD) or wood density (stem dry mass per stem fresh volume)_g/cm3 - `StemDens`  
+6 	Root rooting depth_m - `RootingDepth`  
+11 	Leaf area per leaf dry mass (specific leaf area, SLA or 1/LMA) - `SLA`  
+13 	Leaf carbon (C) content per leaf dry mass_mg/g - `LeafC.perdrymass`  
+14 	Leaf nitrogen (N) content per leaf dry mass_mg/g - `LeafN`  
+15 	Leaf phosphorus (P) content per leaf dry mass_mg/g - `LeafP`  
+18 	Plant height (vegetative + generative) - `PlantHeight`  
+21 	Stem diameter_m - `StemDiam`  
+26 	Seed dry mass_mg - `SeedMass`  
+27 	Seed length_mm - `Seed.length`  
+46 	Leaf thickness_mm - `LeafThickness`  
+47 	Leaf dry mass per leaf fresh mass (leaf dry matter content, LDMC)_g g-1 - `LDMC`  
+50 	Leaf nitrogen (N) content per leaf area_g m-2 - `LeafNperArea`  
+55 	Leaf dry mass (single leaf)_mg - `LeafDryMass.single`  
+78 	Leaf nitrogen (N) isotope signature (delta 15N)_per  - `Leaf.delta.15N`  
+95 	Seed germination rate (germination efficiency) % - `SeedGerminationRate`  
+138 	Seed number per reproducton unit_number - `Seed.num.rep.unit`  
+144 	Leaf length_mm - `LeafLength`  
+145 	Leaf width_cm - `LeafWidth`  
+146 	Leaf carbon/nitrogen (C/N) ratio_g/cm3 - `LeafCN.ratio`  
+163 	Leaf fresh mass_g - `Leaffreshmass`  
+169 	Stem conduit density (vessels and tracheids)_mm-2 - `Stem.cond.dens`  
+223 	Species genotype: chromosome number_dimensionless - `Chromosome.n`  
+224 	Species genotype: chromosome cDNA content_pg - `Chromosome.cDNAcont`  
+237 	Dispersal unit length_mm - `Disp.unit.leng`  
+281 	Stem conduit diameter (vessels, tracheids)_micro m - `StemConduitDiameter`  
+282 	Wood vessel element length; stem conduit (vessel and tracheids) element length_micro m - `Wood.vessel.length`  
+289 	Wood fiber lengths_micro m - `WoodFiberLength`  
+1080 	Root length per root dry mass (specific root length, SRL)_cm/g - `SpecificRootLength`  
+3112 	Leaf area (in case of compound leaves: leaf, undefined if petiole in- or excluded)_mm2 - `LeafArea.leaf.undef`  
+3113 	Leaf area (in case of compound leaves: leaflet, undefined if petiole is in- or excluded)_mm2 - `LeafArea.leaflet.undef`  
+3114 	Leaf area (in case of compound leaves undefined if leaf or leaflet, undefined if petiole is in- or excluded)_mm2 - `LeafArea.undef.undef`  
+3120 	Leaf water content per leaf dry mass (not saturated)_g(W)/g(DM) - `LeafWaterCont`  
+<br>
+<br>
+**List of Fields**  
+<br>
+Object `sPlot.traits`  
+1. `Species`: Species name, as in the field `Species` of DT2.  
+2. `GrowthForm`: Possible values: *herb* , *herb/shrub* , *herb/shrub/tree* , *other* , *shrub* , *shrub/tree* , *tree*.  
+3. `is.tree.or.tall.shrub`: TRUE\\FALSE - Defines as tree of tall shrub if Growth Form contains is equal to 'tree', 'shrub/tree' or 'shrub', or if Height > 10 m.  
+4. `n`: Number of individual gap-filled entries used for calculating mean and s.d. of the taxon.  
+5-37. **Functional traits** means  
+38-70. **Functional traits** standard deviations  
+<br>
+
+
+Object `try.combined.means`  
+1. `Taxon_name`: Species name, as in the field `Species` of DT2.  
+2. `Rank_correct`: Rank of taxon name (either "Species", or "Genus"), used for calculating the mean and s.d. of trait values.  
+3. `n`: Number of individual gap-filled entries used for calculating mean and s.d. of the taxon.  
+4-36. **Functional trait** means  
+37-69. **Functional trait** standard deviations  
+<br>
+<br>
+
+Object `CWM`  
+1. `PlotObservationID`: Plot ID, as in `header`.  
+2. `variable`: Functional trait.  
+3. `sp.richness`: Number of species in plot.  
+4. `prop.sp.with.trait`: Proportion of species with trait information.  
+5. `trait.coverage`: Proportion of the species' relative cover for which functional trait is available.  
+6. `CWM`: Community Weighted Mean.  
+7. `CWV`: Community Weighted Variance.  
+
+# Environmental variables  
+```{r}
+load("../_output/SoilClim_sPlot3.RData")
+```
+The object `SoilClim_sPlot3` contains data on the environmental conditions of plots, as derived from matching Plots' coordinates with global-scale layers of topography, climate and soil data. Its construction is documented at: https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/05_ExtractEnvironment.html (download needed).  
+Environmental data derive from three sources:  
+
+1. Bioclimatic variables (bio01-bio19) derive from [CHELSA](http://chelsa-climate.org/bioclim/).  
+2. Soil variables (5 cm depth) derive from the [ISRIC dataset](https://www.isric.org/), downloaded at 250-m resolution.  
+3. DEM derive from package [elevatr](https://cran.r-project.org/web/packages/elevatr/vignettes/introduction_to_elevatr.html#get_raster_elevation_data), which uses the [Terrain Tiles on Amazon Web Services](https://registry.opendata.aws/terrain-tiles/).  
+
+## Show output
+Example of dataframe `soilclim`.
+```{r echo=F}
+knitr::kable(soilclim %>% 
+               sample_n(10), 
+  caption="Example of environmental information on 10 randomly selected plots") %>%
+    kable_styling(bootstrap_options = c("striped", "hover", "condensed", "responsive"), 
+                  latex_options = "basic", 
+                  full_width = F, position = "center")
+```
+
+## Description of fields
+1. `PlotObservationID`: Plot ID, as in `header`.  
+<br>
+**Elevation data** - median and s.d.  
+2. `Elevation_median`: Median elevation in a circle centered on plot location, having a radius of the plot's `location uncertainty` (NA if >50km).  
+3. `Elevation_q2.5`: 2.5 percentile of elevation in a circle centered on plot location, having a radius of the plot's `location uncertainty` (NA if >50km).  
+4. `Elevation_q97.5`: 97.5 percentile of elevation in a circle centered on plot location, having a radius of the plot's `location uncertainty` (NA if >50km).   
+5. `Elevation_DEM.res`: Resolution of Digital Elevation Model used (in m).  
+<br>
+**Bioclimatic Variables** - Mean and s.d.  
+6. `bio01`: Annual Mean Temperature  
+7. `bio02`: Mean Diurnal Range  
+8. `bio03`: Isothermality  
+9. `bio04`: Temperature Seasonality  
+10. `bio05`: Max Temperature of Warmest Month  
+11. `bio06`: Min Temperature of Coldest Month  
+12. `bio07`: Temperature Annual Range  
+13. `bio08`: Mean Temperature of Wettest Quarter  
+14. `bio09`: Mean Temperature of Driest Quarter  
+15. `bio10`: Mean Temperature of Warmest Quarter   
+16. `bio11`: Mean Temperature of Coldest Quarter  
+17. `bio12`: Annual Precipitation  
+18. `bio13`: Precipitation of Wettest Month  
+19. `bio14`: Precipitation of Driest Month  
+20. `bio15`: Precipitation Seasonality  
+21. `bio16`: Precipitation of Wettest Quarter  
+22. `bio17`: Precipitation of Driest Quarter  
+23. `bio18`: Precipitation of Warmest Quarter  
+24. `bio19`: Precipitation of Coldest Quarter  
+25-43 - Same as above, but standard deviations  
+<br>
+**Soil Variables** - Mean and s.d.  
+44. `BLDFIE`: Bulk Density (fine earth) in kg/m3  
+45. `CECSOL`: Cation Exchange capacity of soil  
+46. `CLYPPT`: Clay mass fraction in %  
+47. `CRFVOL`: Coarse fragments volumetric in %  
+48. `ORCDRC`: Soil Organic Carbon Content in g/kg  
+49. `PHIHOX`: Soil pH x 10 in H20  
+50. `SLTPPT`: Silt mass fraction in %  
+51. `SNDPPT`: Sand mass fraction in %  
+52-59 - Same as above, but standard deviations  
+
+
+# SessionInfo
+```{r}
+sessionInfo()
+```
+
+
diff --git a/code/A98_PredictorsExtract.R b/code/A98_PredictorsExtract.R
index ace4faa6258737425edd4cfd2f9adf43ecbf4dc2..6b3e2f3d4d52c8e28373c42789bced46865fbab7 100644
--- a/code/A98_PredictorsExtract.R
+++ b/code/A98_PredictorsExtract.R
@@ -18,13 +18,15 @@ PredExtr <- function(x.shp, myfunction=NA, output=NA,
   require(rgeos)
   require(rgdal)
   require(geosphere) 
+  require(spatialEco)
+  require(sf)
  
   print(paste("Loading", typp, "data :", toextract))
   print(paste("output will be:", output))
   if(typp=="raster"){ mypredictor <- raster(toextract)} else
   mypredictor <- readOGR(toextract)
   colnames(mypredictor@data)
-  header.shp <-readOGR(x.shp)
+  header.shp <- readOGR(x.shp)
   crs(mypredictor) <- crs(header.shp) #should be verified beforehand!
   
   
@@ -54,21 +56,37 @@ PredExtr <- function(x.shp, myfunction=NA, output=NA,
   if(!is.na(output)) {write.csv(out, file = output)} else{return(out)}
   } else {
     out <- sp::over(x=header.shp, y=mypredictor) 
-    toassign <- header.shp[which(is.na(out[,1])),]
+    i.toassign <- which(is.na(out[,1]))
+    toassign <- header.shp[i.toassign,]
     print(paste(length(toassign), "plots not matched directly - seek for NN"))
   if(length(toassign)>0){
+    ## explode multipolygon
+    mypredictor.expl <- explode(mypredictor) %>% 
+      as_Spatial()
     
     nearest <- foreach(i=1:length(toassign), .packages=c('raster'), .combine=rbind) %dopar% { 
       print(i)
-      nearest.tmp <- tryCatch(geosphere::dist2Line(header.shp[i,], mypredictor),
-                              error = function(e){data.frame(distance=NA, lon=NA, lat=NA,ID=NA)}
+      ## create a subset of geoentities based on a 5° buffer radius around each target plot.
+      tmp.buff <- gBuffer(toassign[i,], width=5) 
+      tryCatch(
+        tmp.mypredictor <- spatialEco::spatial.select(
+          x = tmp.buff,
+          y = mypredictor.expl,
+          distance = 0.1,
+          predicate = "intersect"
+        ),
+        error = function(e) {
+          print(paste("Nothing close enough for plot", toassign@data$PlotObservationID[i]))
+        }
+      )
+      # find nearest neighbour  
+      nearest.tmp <- tryCatch(geosphere::dist2Line(toassign[i,], tmp.mypredictor),
+                              error = function(e){data.frame(i=i, distance=NA, lon=NA, lat=NA,ID=NA)}
                               )
-      #nearest.tmp <- geosphere::dist2Line(toassign[i,], mypredictor)
       return(nearest.tmp)
     }
-    
 
-    out[which(is.na(out[,1])),] <- mypredictor@data[nearest[,"ID"],]
+    out[i.toassign,] <- mypredictor@data[nearest[,"ID"],]
    }
     if(!is.na(output)) {write.csv(out, file = output)} else{return(out)}
   }
diff --git a/public/03_TaxonomicBackbone.html b/public/03_TaxonomicBackbone.html
index ebf639464fe95ebf97117ddf748552f30f82d2a2..a61950853a233d2a976b99a8c3f9e4cfee888ed4 100644
--- a/public/03_TaxonomicBackbone.html
+++ b/public/03_TaxonomicBackbone.html
@@ -208,6 +208,45 @@ color: #d14;
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@@ -383,7 +646,7 @@ summary {
 
 <h1 class="title toc-ignore">Taxonomic Backbone - sPlot 3.0</h1>
 <h4 class="author">Francesco Maria Sabatini</h4>
-<h4 class="date">13 March, 2020</h4>
+<h4 class="date">27 November, 2020</h4>
 <div class="abstract">
 <p class="abstract">Abstract</p>
 This document describes the workflow (with contributions from Oliver Purschke, Jürgen Dengler and Florian Jansen) that was used to generate the taxonomic backbone that standardizes taxon names across the (i) global vegetation plot database sPlot version 3.0 and (ii) the global plant trait data base TRY version 5.
@@ -431,12 +694,13 @@ This document describes the workflow (with contributions from Oliver Purschke, J
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" title="sPlot Logo" />
 </center>
-<p><strong>Timestamp:</strong> Fri Mar 13 15:01:06 2020<br />
+<p><strong>Timestamp:</strong> Fri Nov 27 18:19:43 2020<br />
 <strong>Drafted:</strong> Francesco Maria Sabatini<br />
 <strong>Revised:</strong> Helge Bruelheide, Borja Jimenez-Alfaro<br />
 <strong>Version:</strong> 1.3</p>
 <p><strong>Changes to Version 1.1</strong> Additional manual cleaning of species names from BJA, UJ and HB.<br />
-<strong>Changes to Version 1.2</strong> Changed order of ranking TNRS databases, when a name is matched across more than 1 DB; Using cleaned version of DT table (after stripping non-closed quotation marks). Additionally check with TPL those species that, even if resolved in TNRS, did not return an accepted name. <strong>Changes to Version 1.3</strong> Manual check of names BEFORE matching with TNRS</p>
+<strong>Changes to Version 1.2</strong> Changed order of ranking TNRS databases, when a name is matched across more than 1 DB; Using cleaned version of DT table (after stripping non-closed quotation marks). Additionally check with TPL those species that, even if resolved in TNRS, did not return an accepted name.<br />
+<strong>Changes to Version 1.3</strong> Manual check of names BEFORE matching with TNRS</p>
 <div id="data-preparation" class="section level1">
 <h1><span class="header-section-number">1</span> Data preparation</h1>
 <div id="load-packages" class="section level2">
@@ -491,12 +755,12 @@ write_csv(splot.species, path = &quot;../_derived/splot3.0.2.species.csv&quot;)<
 <p>!!! I used the column from TRY with the full species name, not the column with only two-word name strings</p>
 <pre class="r"><code>splot.species &lt;- read_csv(&quot;../_derived/splot3.0.2.species.csv&quot;)
 
-try.species &lt;- readr::read_csv(&quot;../_input/AccSpecies_TRY5.csv&quot;, col_names = F, locale = locale(encoding = 'Latin1')) %&gt;%
+try.species &lt;- readr::read_csv(&quot;../_input/AccSpecies_TRY5.csv&quot;, col_names = F, locale = locale(encoding = &#39;Latin1&#39;)) %&gt;%
   dplyr::select(-X6, -X7) %&gt;%
   rename(try.ID=X1, FullSpecies=X2, Species=X3, Genus=X4, Family=X5, GrowthForm=X8)
 
 # Sneak in  species from the Alpine database (Borja &amp; Riccardo), as a courtesy to Project #18
-alpine.species &lt;- read_delim(&quot;../_input/new_alpine_species.txt&quot;, col_names = F, delim = &quot;\t&quot;, locale = locale(encoding = 'Latin1')) %&gt;% 
+alpine.species &lt;- read_delim(&quot;../_input/new_alpine_species.txt&quot;, col_names = F, delim = &quot;\t&quot;, locale = locale(encoding = &#39;Latin1&#39;)) %&gt;% 
   rename(Species=X1)</code></pre>
 <p>Use the <code>Matched.concept</code> column, as it already contains some standardization by <a href="https://www.wur.nl/de/Personen/drs.-SM-Stephan-Hennekens.htm">Stephan Hennekkens</a> according to <a href="https://www.synbiosys.alterra.nl/turboveg/contact.htm">synbiosys</a>.</p>
 <p>sPlot 3.0.1 contains 107473 different species names.<br />
@@ -524,6 +788,7 @@ I add to this a list of 2961 alpine species delivered from Riccardo Testolin, wi
             
  #Number of species unique and in common across databases</code></pre>
 <p>The <strong>total number of species</strong> in the backbone is 346438.</p>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
 <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
 <caption>
 Number of taxa per database
@@ -612,36 +877,36 @@ spec.list.TRY.sPlot &lt;- spec.list.TRY.sPlot %&gt;%
   mutate(Species=tolower(Species)) %&gt;%
   mutate(Species=firstup(Species)) %&gt;%
   dplyr::select(OriginalNames, Species, Source) %&gt;%
-  mutate(Species=gsub('*', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('cf. ', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('Cf. ', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('[', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub(']', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub(' x ', ' ', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('×', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('aff ', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('(', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub(')', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub(' cf ', ' ', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub(' aff. ', ' ', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('c‚e', 'ceae', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('    ', ' ', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('   ', ' ', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('  ', ' ', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('x-', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('X-', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('×', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('like ', '', Species, fixed=TRUE)) %&gt;% 
-  mutate(Species=gsub(',', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('#', '', Species, fixed=TRUE)) %&gt;%
-  mutate(Species=gsub('_', ' ', Species))</code></pre>
+  mutate(Species=gsub(&#39;*&#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;cf. &#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;Cf. &#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;[&#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;]&#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39; x &#39;, &#39; &#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;×&#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;aff &#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;(&#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;)&#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39; cf &#39;, &#39; &#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39; aff. &#39;, &#39; &#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;c‚e&#39;, &#39;ceae&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;    &#39;, &#39; &#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;   &#39;, &#39; &#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;  &#39;, &#39; &#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;x-&#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;X-&#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;×&#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;like &#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;% 
+  mutate(Species=gsub(&#39;,&#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;#&#39;, &#39;&#39;, Species, fixed=TRUE)) %&gt;%
+  mutate(Species=gsub(&#39;_&#39;, &#39; &#39;, Species))</code></pre>
 <p>For all names, that have a number in their first word, and consist of <span class="math inline">\(&gt;\)</span> 1 words, remove that word:</p>
 <pre class="r"><code>spec.list.TRY.sPlot &lt;- spec.list.TRY.sPlot %&gt;% 
-  mutate(firstWordWithNumbers=grepl('[0-9]', word(Species, 1))) %&gt;%
+  mutate(firstWordWithNumbers=grepl(&#39;[0-9]&#39;, word(Species, 1))) %&gt;%
   mutate(numberOfWords= sapply(gregexpr(&quot;\\W+&quot;, Species), length) + 1) %&gt;%
   mutate(Species=ifelse((firstWordWithNumbers &amp; numberOfWords &gt; 1), 
                         sapply(Species, 
-                               function(x) substr(x, start=regexpr(pattern =' ', text=x)+1,
+                               function(x) substr(x, start=regexpr(pattern =&#39; &#39;, text=x)+1,
                                                   stop=nchar(x))), Species))</code></pre>
 <p>Correct some name abbreviations using <code>taxname.abbr</code> in <code>vegdata</code>:</p>
 <pre class="r"><code>spec.list.TRY.sPlot &lt;- spec.list.TRY.sPlot %&gt;% 
@@ -668,376 +933,376 @@ spec.list.TRY.sPlot &lt;- spec.list.TRY.sPlot %&gt;%
   mutate(Species=gsub(&quot; #$&quot;, &quot;&quot;, Species)) %&gt;%
   mutate(Species=gsub(&quot; m$&quot;, &quot;&quot;, Species)) %&gt;%
   mutate(Species=gsub(&quot;acea &quot;, &quot;aceae &quot;, Species)) %&gt;%
-  mutate(Species=gsub('^Agropyrum', 'Agropyron', Species)) %&gt;%
-  mutate(Species=gsub('^Anno ', 'Annona ', Species)) %&gt;%
-  mutate(Species=gsub('Adpdytes dimidiata', 'Apodytes dimidiata', Species)) %&gt;%
-  mutate(Species=gsub('Adenostorna fasciculaturn', 'Adenostoma fasciculatum', Species)) %&gt;%
-  mutate(Species=gsub('Arctostapliylos glallca', 'Arctostaphylos glauca', Species)) %&gt;%
-  mutate(Species=gsub('Bituminosa bituminosa', 'Bituminaria bituminosa', Species)) %&gt;%
-  mutate(Species=gsub('Causurina equisitifolia', 'Causuarina equisetifolia', Species)) %&gt;%
-  mutate(Species=gsub('Convulvus arvensis', 'Convolvulus arvensis', Species)) %&gt;%
-  mutate(Species=gsub('Diospyrus dygina', 'Diospyros dygina', Species)) %&gt;%
-  mutate(Species=gsub('^Dodoea', 'Dodonaea', Species)) %&gt;%
-  mutate(Species=gsub('^Boheravia', 'Boerhavia', Species)) %&gt;%
-  mutate(Species=gsub('Centaria maculosa', 'Centaurea maculosa', Species)) %&gt;%
-  mutate(Species=gsub('Chamrenerium angustifolium', 'Chamaenerion angustifolium', Species)) %&gt;%
-  mutate(Species=gsub('^Chicorium', 'Cichorium', Species)) %&gt;%
-  mutate(Species=gsub('^Cirsiumum', 'Cirsium', Species)) %&gt;%
-  mutate(Species=gsub('^Colubrium', 'Colubrina', Species)) %&gt;%
-  mutate(Species=gsub('^Corymbium', 'Corymbia', Species)) %&gt;%
-  mutate(Species=gsub('Cosmos bipinnata', 'Cosmos bipinnatus', Species)) %&gt;%
-  mutate(Species=gsub('Diospyrus dygina', 'Diospyros digyna', Species)) %&gt;%
-  mutate(Species=gsub('Diospyros egbert', 'Diospyros egbert-walkeri', Species)) %&gt;%
-  mutate(Species=gsub('Dispyrus halesioides', 'Diospyros halesioides', Species)) %&gt;%
-  mutate(Species=gsub('^Drymis', 'Drimys', Species)) %&gt;%
-  mutate(Species=gsub('^Dysoxylon', 'Dysoxylum', Species)) %&gt;%
-  mutate(Species=gsub('^Eleaegnus', 'Elaeagnus', Species)) %&gt;%
-  mutate(Species=gsub('^Eleutherant', 'Eleutherantera', Species)) %&gt;%
-  mutate(Species=gsub('^Echicea', 'Echinacea', Species)) %&gt;%
-  mutate(Species=gsub('Gauteria foliolata', 'Gaultheria foliolosa', Species)) %&gt;%
-  mutate(Species=gsub('^Geophylla', 'Geophyla', Species)) %&gt;%
-  mutate(Species=gsub('Gloichidion insignis', 'Glochidion insigne', Species)) %&gt;%
-  mutate(Species=gsub('^Glycium', 'Glycine', Species)) %&gt;%
-  mutate(Species=gsub('^Hammalis', 'Hamamelis', Species)) %&gt;%
-  mutate(Species=gsub('^Hippochoeris', 'Hypochaeris', Species)) %&gt;%
-  mutate(Species=gsub('Ilix tephrohylla', 'Ilex tephrophylla', Species)) %&gt;%
-  mutate(Species=gsub('^Jasininum', 'Jasminum', Species)) %&gt;%
-  mutate(Species=gsub('Jenipa conjuta', 'Jenipa conjunta', Species)) %&gt;%
-  mutate(Species=gsub('^Lechytis', 'Lecythis', Species)) %&gt;%
-  mutate(Species=gsub('Lespedeza juncus', 'Lespedeza juncea', Species)) %&gt;%
-  mutate(Species=gsub('Licania apelata', 'Licania apetala', Species)) %&gt;%
-  mutate(Species=gsub('Limeum arenicola', 'Limeum arenicolum', Species)) %&gt;%
-  mutate(Species=gsub('^Maniota', 'Manihot', Species)) %&gt;%
-  mutate(Species=gsub('^Menta', 'Mentha', Species)) %&gt;%
-  mutate(Species=gsub('Metophyum brownei', 'Metopium brownei', Species)) %&gt;%
-  mutate(Species=gsub('Miliusa tomentosum', 'Miliusa tomentosa', Species)) %&gt;%
-  mutate(Species=gsub('Mimululus ringens', 'Mimulus ringens', Species)) %&gt;%
-  mutate(Species=gsub('Nardus strictus', 'Nardus stricta', Species)) %&gt;%
-  mutate(Species=gsub('Neea glomeratha', 'Neea glomerata', Species)) %&gt;%
-  mutate(Species=gsub('^Onopordon', 'Onopordum', Species)) %&gt;%
-  mutate(Species=gsub('^Orbigynia', 'Orbignya', Species)) %&gt;%
-  mutate(Species=gsub('Orites excelsa', 'Orites excelsus', Species)) %&gt;%
-  mutate(Species=gsub('Paedorata lutea', 'Paederota lutea', Species)) %&gt;%
-  mutate(Species=gsub('Palaquin ellipticum', 'Palaquium ellipticum', Species)) %&gt;%
-  mutate(Species=gsub('Palmeria arfakensis', 'Palmeria arfakiana', Species)) %&gt;%
-  mutate(Species=gsub('Petalostcmum purpureum', 'Petalostemum purpureum', Species)) %&gt;%
-  mutate(Species=gsub('Petalostimum purpureum', 'Petalostemum purpureum', Species)) %&gt;%
-  mutate(Species=gsub('^Petrosileum', 'Petroselinum', Species)) %&gt;%
-  mutate(Species=gsub('Phlomis herba', 'Phlomis herba-venti', Species)) %&gt;%
-  mutate(Species=gsub('^Phyllirea', 'Phillyrea', Species)) %&gt;%
-  mutate(Species=gsub('Physilus pumula', 'Physalus pumila', Species)) %&gt;%
-  mutate(Species=gsub('Picea maria', 'Picea mariana', Species)) %&gt;%
-  mutate(Species=gsub('Picea retroXexa', 'Picea retroflexa', Species)) %&gt;%
-  mutate(Species=gsub('Pilayella litoralis', 'Pilayella littoralis', Species)) %&gt;%
-  mutate(Species=gsub('Placocarpus schaereri', 'Platecarpus schaerer', Species)) %&gt;%
-  mutate(Species=gsub('Placocarpus schraereri', 'Platecarpus schaerer', Species)) %&gt;%
-  mutate(Species=gsub('^Pulteea', 'Pultenaea', Species)) %&gt;%
-  mutate(Species=gsub('Quercus rubrum', 'Quercus rubra', Species)) %&gt;%
-  mutate(Species=gsub('Rubus fruticosa', 'Rubus fruticosus', Species)) %&gt;%
-  mutate(Species=gsub('Rubus saxatile', 'Rubus saxatilis', Species)) %&gt;%
-  mutate(Species=gsub('Rubus sylvatici', 'Rubus sylvaticus', Species)) %&gt;%
-  mutate(Species=gsub('^Sanguiria', 'Sanguinaria', Species)) %&gt;%
-  mutate(Species=gsub('Sarauja nepaulensis', 'Sarauja nepalensis', Species)) %&gt;%
-  mutate(Species=gsub('^Sateria', 'Setaria', Species)) %&gt;%
-  mutate(Species=gsub('Sauraiea nepulensis', 'Saurauia nepalensis', Species)) %&gt;%
-  mutate(Species=gsub('Schneckia australis', 'Schenckia australis', Species)) %&gt;%
-  mutate(Species=gsub('Smirnium oleastrum', 'Smyrnium olusatrum', Species)) %&gt;%
-  mutate(Species=gsub('Solms laubachia', 'Solms-laubachia himalayensis', Species)) %&gt;%
-  mutate(Species=gsub('Stellaria chamaejasme', 'Stellera chamaejasme', Species)) %&gt;%
-  mutate(Species=gsub('Steraria parviflora', 'Setaria parviflora', Species)) %&gt;%
-  mutate(Species=gsub('^Stuartia', 'Stewartia', Species)) %&gt;%
-  mutate(Species=gsub('Sycops sinensis', 'Sycopsis sinensis', Species)) %&gt;%
-  mutate(Species=gsub('Tacetum vulgare', 'Tanacetum vulgare', Species)) %&gt;%
-  mutate(Species=gsub('Talinurn angustissimun', 'Talinun angustissimun', Species)) %&gt;%
-  mutate(Species=gsub('Talloma hodgsoni', 'Talauma hodgsonii', Species)) %&gt;%
-  mutate(Species=gsub('Taraxacum albo', 'Taraxacum album', Species)) %&gt;%
-  mutate(Species=gsub('Tetragonia falcata', 'Tetragona falcata', Species)) %&gt;%
-  mutate(Species=gsub('Trapogogon', 'Tragopogon', Species)) %&gt;%
-  mutate(Species=gsub('Zyzyphus saeri', 'Zizyphus saeri', Species)) %&gt;%
-  mutate(Species=gsub('^Helicrysum', 'Helichrysum', Species)) %&gt;%
-  mutate(Species=gsub('^Diceropappus rhinocerotis', 'Elytropappus rhinocerotis', Species)) %&gt;%
-  mutate(Species=gsub('^Euphorbiace ', 'Euphorbiacaea ', Species)) %&gt;%
-  mutate(Species=gsub('^Gloecapsa', 'Gloeocapsa', Species)) %&gt;%
-  mutate(Species=gsub('Glycirhiza', 'Glycyrrhiza', Species)) %&gt;%
-  mutate(Species=gsub('Abiesnordmannia', 'Abies nordmannia', Species)) %&gt;%
-  mutate(Species=gsub('Alnus inca', 'Alnus incana', Species)) %&gt;%
-  mutate(Species=gsub('Amalencier alnifolia', 'Amalenchier alnifolia', Species)) %&gt;% 
-  mutate(Species=gsub('Antylis barba-jovis', 'Anthyllis barba-jovis', Species)) %&gt;% 
-  mutate(Species=gsub('^Albizzia &quot;', 'Albizia ', Species)) %&gt;% 
-  mutate(Species=gsub('^Ipomoena ', 'Ipomoea ', Species)) %&gt;% 
-  mutate(Species=gsub('^Ipomea ', 'Ipomoea ', Species)) %&gt;% 
-  mutate(Species=gsub('Ipomo wolco', 'Ipomoea wolcottiana', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;^Agropyrum&#39;, &#39;Agropyron&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Anno &#39;, &#39;Annona &#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Adpdytes dimidiata&#39;, &#39;Apodytes dimidiata&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Adenostorna fasciculaturn&#39;, &#39;Adenostoma fasciculatum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Arctostapliylos glallca&#39;, &#39;Arctostaphylos glauca&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Bituminosa bituminosa&#39;, &#39;Bituminaria bituminosa&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Causurina equisitifolia&#39;, &#39;Causuarina equisetifolia&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Convulvus arvensis&#39;, &#39;Convolvulus arvensis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Diospyrus dygina&#39;, &#39;Diospyros dygina&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Dodoea&#39;, &#39;Dodonaea&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Boheravia&#39;, &#39;Boerhavia&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Centaria maculosa&#39;, &#39;Centaurea maculosa&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Chamrenerium angustifolium&#39;, &#39;Chamaenerion angustifolium&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Chicorium&#39;, &#39;Cichorium&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Cirsiumum&#39;, &#39;Cirsium&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Colubrium&#39;, &#39;Colubrina&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Corymbium&#39;, &#39;Corymbia&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Cosmos bipinnata&#39;, &#39;Cosmos bipinnatus&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Diospyrus dygina&#39;, &#39;Diospyros digyna&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Diospyros egbert&#39;, &#39;Diospyros egbert-walkeri&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Dispyrus halesioides&#39;, &#39;Diospyros halesioides&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Drymis&#39;, &#39;Drimys&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Dysoxylon&#39;, &#39;Dysoxylum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Eleaegnus&#39;, &#39;Elaeagnus&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Eleutherant&#39;, &#39;Eleutherantera&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Echicea&#39;, &#39;Echinacea&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Gauteria foliolata&#39;, &#39;Gaultheria foliolosa&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Geophylla&#39;, &#39;Geophyla&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Gloichidion insignis&#39;, &#39;Glochidion insigne&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Glycium&#39;, &#39;Glycine&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Hammalis&#39;, &#39;Hamamelis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Hippochoeris&#39;, &#39;Hypochaeris&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Ilix tephrohylla&#39;, &#39;Ilex tephrophylla&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Jasininum&#39;, &#39;Jasminum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Jenipa conjuta&#39;, &#39;Jenipa conjunta&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Lechytis&#39;, &#39;Lecythis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Lespedeza juncus&#39;, &#39;Lespedeza juncea&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Licania apelata&#39;, &#39;Licania apetala&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Limeum arenicola&#39;, &#39;Limeum arenicolum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Maniota&#39;, &#39;Manihot&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Menta&#39;, &#39;Mentha&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Metophyum brownei&#39;, &#39;Metopium brownei&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Miliusa tomentosum&#39;, &#39;Miliusa tomentosa&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Mimululus ringens&#39;, &#39;Mimulus ringens&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Nardus strictus&#39;, &#39;Nardus stricta&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Neea glomeratha&#39;, &#39;Neea glomerata&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Onopordon&#39;, &#39;Onopordum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Orbigynia&#39;, &#39;Orbignya&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Orites excelsa&#39;, &#39;Orites excelsus&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Paedorata lutea&#39;, &#39;Paederota lutea&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Palaquin ellipticum&#39;, &#39;Palaquium ellipticum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Palmeria arfakensis&#39;, &#39;Palmeria arfakiana&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Petalostcmum purpureum&#39;, &#39;Petalostemum purpureum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Petalostimum purpureum&#39;, &#39;Petalostemum purpureum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Petrosileum&#39;, &#39;Petroselinum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Phlomis herba&#39;, &#39;Phlomis herba-venti&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Phyllirea&#39;, &#39;Phillyrea&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Physilus pumula&#39;, &#39;Physalus pumila&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Picea maria&#39;, &#39;Picea mariana&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Picea retroXexa&#39;, &#39;Picea retroflexa&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Pilayella litoralis&#39;, &#39;Pilayella littoralis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Placocarpus schaereri&#39;, &#39;Platecarpus schaerer&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Placocarpus schraereri&#39;, &#39;Platecarpus schaerer&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Pulteea&#39;, &#39;Pultenaea&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Quercus rubrum&#39;, &#39;Quercus rubra&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Rubus fruticosa&#39;, &#39;Rubus fruticosus&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Rubus saxatile&#39;, &#39;Rubus saxatilis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Rubus sylvatici&#39;, &#39;Rubus sylvaticus&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Sanguiria&#39;, &#39;Sanguinaria&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Sarauja nepaulensis&#39;, &#39;Sarauja nepalensis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Sateria&#39;, &#39;Setaria&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Sauraiea nepulensis&#39;, &#39;Saurauia nepalensis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Schneckia australis&#39;, &#39;Schenckia australis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Smirnium oleastrum&#39;, &#39;Smyrnium olusatrum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Solms laubachia&#39;, &#39;Solms-laubachia himalayensis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Stellaria chamaejasme&#39;, &#39;Stellera chamaejasme&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Steraria parviflora&#39;, &#39;Setaria parviflora&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Stuartia&#39;, &#39;Stewartia&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Sycops sinensis&#39;, &#39;Sycopsis sinensis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Tacetum vulgare&#39;, &#39;Tanacetum vulgare&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Talinurn angustissimun&#39;, &#39;Talinun angustissimun&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Talloma hodgsoni&#39;, &#39;Talauma hodgsonii&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Taraxacum albo&#39;, &#39;Taraxacum album&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Tetragonia falcata&#39;, &#39;Tetragona falcata&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Trapogogon&#39;, &#39;Tragopogon&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Zyzyphus saeri&#39;, &#39;Zizyphus saeri&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Helicrysum&#39;, &#39;Helichrysum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Diceropappus rhinocerotis&#39;, &#39;Elytropappus rhinocerotis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Euphorbiace &#39;, &#39;Euphorbiacaea &#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;^Gloecapsa&#39;, &#39;Gloeocapsa&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Glycirhiza&#39;, &#39;Glycyrrhiza&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Abiesnordmannia&#39;, &#39;Abies nordmannia&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Alnus inca&#39;, &#39;Alnus incana&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Amalencier alnifolia&#39;, &#39;Amalenchier alnifolia&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Antylis barba-jovis&#39;, &#39;Anthyllis barba-jovis&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;^Albizzia &quot;&#39;, &#39;Albizia &#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;^Ipomoena &#39;, &#39;Ipomoea &#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;^Ipomea &#39;, &#39;Ipomoea &#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Ipomo wolco&#39;, &#39;Ipomoea wolcottiana&#39;, Species)) %&gt;% 
   ## additional manual cleaning from UJ, BJA, HB
-  mutate(Species=gsub('Abacaba palm', 'Oenocarpus balickii', Species)) %&gt;% 
-  mutate(Species=gsub('Acerkuomeii', 'Acer kuomeii', Species)) %&gt;% 
-  mutate(Species=gsub('Alder$', 'Alnus', Species)) %&gt;% 
-  mutate(Species=gsub('Amapa$', 'Tabebuia', Species)) %&gt;% 
-  mutate(Species=gsub('Amapa amargoso', 'Parahancornia amapa', Species)) %&gt;% 
-  mutate(Species=gsub('Amapa doce$', 'Tabebuia', Species)) %&gt;% 
-  mutate(Species=gsub('Amapai$', 'Tabebuia', Species)) %&gt;% 
-  mutate(Species=gsub('Amapaí$', 'Tabebuia', Species)) %&gt;% 
-  mutate(Species=gsub('Amapa m1', 'Tabebuia', Species)) %&gt;% 
-  mutate(Species=gsub('Amaranth$', 'Amaranthus', Species)) %&gt;% 
-  mutate(Species=gsub('Amophora fruticosa', 'Amorpha fruticosa', Species)) %&gt;% 
-  mutate(Species=gsub('Anacardiace ', 'Anacardiaceae ', Species)) %&gt;% 
-  mutate(Species=gsub('Anagallisarvensis', 'Anagallis arvensis', Species)) %&gt;% 
-  mutate(Species=gsub('Anemonenarcissiflora var.', 'Anemone narcissiflora', Species)) %&gt;% 
-  mutate(Species=gsub('Anenome ', 'Anemone', Species)) %&gt;% 
-  mutate(Species=gsub('Anona ', 'Annona ', Species)) %&gt;% 
-  mutate(Species=gsub('Antylis ', 'Anthyllis', Species)) %&gt;% 
-  mutate(Species=gsub('Apocyncadea gelbblueh$', 'Apocynaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Aracium', 'Crepis', Species)) %&gt;% 
-  mutate(Species=gsub('Ardis mexic', 'Ardisia mexicana subsp. siltepecana', Species)) %&gt;% 
-  mutate(Species=gsub('Ardis verap', 'Ardisia verapazensis', Species)) %&gt;% 
-  mutate(Species=gsub('Argenomne hummemannii', 'Argemone hunnemanni', Species)) %&gt;% 
-  mutate(Species=gsub('Artabotus', 'Artabotrys', Species)) %&gt;% 
-  mutate(Species=gsub('Artemisiaintegrifolia', 'Artemisia integrifolia', Species)) %&gt;% 
-  mutate(Species=gsub('Asclepiacea$', 'Asclepiadaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Asclep. klimmer', 'Asclepiadaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Astartoseris triquetra', 'Lactuca triquetra', Species)) %&gt;% 
-  mutate(Species=gsub('Asteracee ', 'Asteraceae ', Species)) %&gt;% 
-  mutate(Species=gsub('Avenula glauc$', 'Avenula', Species)) %&gt;% 
-  mutate(Species=gsub('Baikea plurijuga', 'Baikiaea plurijuga', Species)) %&gt;% 
-  mutate(Species=gsub('Binse rundbl', 'Juncaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Blättrige fabaceae th', 'Fabaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Bonel macro$', 'Bonellia macrocarpa subsp. macrocarpa', Species)) %&gt;% 
-  mutate(Species=gsub('Boraginacee samtig', 'Boraginaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Bri¢fitos', 'Bryophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Bryophyte$', 'Bryophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Bryopsida', 'Bryophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Carallia macrophylla', 'Carallia', Species)) %&gt;% 
-  mutate(Species=gsub('Carexectabilis', 'Carex spectabilis', Species)) %&gt;% 
-  mutate(Species=gsub('Carex fein', 'Carex', Species)) %&gt;% 
-  mutate(Species=gsub('Cerania vermicularis', 'Thamnolia vermicularis', Species)) %&gt;% 
-  mutate(Species=gsub('Chamelauci merredin', 'Chamelaucium', Species)) %&gt;% 
-  mutate(Species=gsub('Chamelau drummon', 'Chamelaucium', Species)) %&gt;% 
-  mutate(Species=gsub('Charophyta', 'Characeae', Species)) %&gt;% 
-  mutate(Species=gsub('Cheiridopsis-keimlinge', 'Cheiridopsis', Species)) %&gt;% 
-  mutate(Species=gsub('Chenopodiacee$', 'Chenopodiaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Chiangioden mexicanum', 'Chiangiodendron mexicanum', Species)) %&gt;% 
-  mutate(Species=gsub('Chiranthode pentadactylon', 'Chiranthodendron pentadactylon', Species)) %&gt;% 
-  mutate(Species=gsub('Chrysobalan ', 'Chrysobalanus ', Species)) %&gt;% 
-  mutate(Species=gsub('Cladapodiella', 'Cladopodiella', Species)) %&gt;% 
-  mutate(Species=gsub('Cleidium ', 'Cleidion ', Species)) %&gt;% 
-  mutate(Species=gsub('Collema/leptogium lichenoides', 'Collemataceae', Species)) %&gt;% 
-  mutate(Species=gsub('Comarostaph discolor', 'Comarostaphylis discolor', Species)) %&gt;% 
-  mutate(Species=gsub('Combretdodendrum africana', 'Combretodendrum africanum', Species)) %&gt;% 
-  mutate(Species=gsub('Commelinacaea floscopa', 'Floscopa glomerata', Species)) %&gt;% 
-  mutate(Species=gsub('Coyncia setigera', 'Coincya setigera', Species)) %&gt;% 
-  mutate(Species=gsub('Crataeva', 'Crateva', Species)) %&gt;% 
-  mutate(Species=gsub('Craterosperma', 'Rubiaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Crespicium', 'Burseraceae', Species)) %&gt;% 
-  mutate(Species=gsub('Critoniadel nubigenus', 'Critoniadelphus nubigenus', Species)) %&gt;% 
-  mutate(Species=gsub('Crotalaria/vigna?', 'Fabaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Croto billb', 'Croton billbergianus subsp. pyramidalis', Species)) %&gt;% 
-  mutate(Species=gsub('Dana„ racemosa', 'Danae racemosa', Species)) %&gt;% 
-  mutate(Species=gsub('Deehasia', 'Dehaasia', Species)) %&gt;% 
-  mutate(Species=gsub('Dichapetala', 'Dichapetalum', Species)) %&gt;% 
-  mutate(Species=gsub('Distel bractea', 'Asteracaea', Species)) %&gt;% 
-  mutate(Species=gsub('Distelig asteraceae', 'Asteracaea', Species)) %&gt;% 
-  mutate(Species=gsub('Dodon visco', 'Dodonaea viscosa', Species)) %&gt;% 
-  mutate(Species=gsub('Doldenbluetler', 'Apiaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Echinosurus capitatus', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Einähriges gras$', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Einähriges gras von gestern$', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Einblütiges rispengras', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Eiovaltrichtergrundblatt orchidee', 'Orchidaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Elongata subsp.', 'Pohlia elongata', Species)) %&gt;% 
-  mutate(Species=gsub('Enriquebelt ', 'Enriquebeltrania ', Species)) %&gt;% 
-  mutate(Species=gsub('Entermorpha ', 'Enteromorpha ', Species)) %&gt;% 
-  mutate(Species=gsub('Erodiurn$', 'Erodium', Species)) %&gt;% 
-  mutate(Species=gsub('Euc. chloroclada x camaldulensis', 'Eucalyptus', Species)) %&gt;% 
-  mutate(Species=gsub('Euphorbiacée ipatouduluga gouduatché', 'Euphorbiaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Fabacee kleeblatt stengel schwarzdrüsi', 'Fabaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Fabaceenstrauch wie 132446 f', 'Fabaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Fabaceenstr kleinbltrg', 'Fabaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Fabacee wie lotus f', 'Fabaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Farn', 'Pteridophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Farn cystopteris', 'Cystopteris', Species)) %&gt;% 
-  mutate(Species=gsub('Fern', 'Pteridophyta', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Abacaba palm&#39;, &#39;Oenocarpus balickii&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Acerkuomeii&#39;, &#39;Acer kuomeii&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Alder$&#39;, &#39;Alnus&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Amapa$&#39;, &#39;Tabebuia&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Amapa amargoso&#39;, &#39;Parahancornia amapa&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Amapa doce$&#39;, &#39;Tabebuia&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Amapai$&#39;, &#39;Tabebuia&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Amapaí$&#39;, &#39;Tabebuia&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Amapa m1&#39;, &#39;Tabebuia&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Amaranth$&#39;, &#39;Amaranthus&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Amophora fruticosa&#39;, &#39;Amorpha fruticosa&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Anacardiace &#39;, &#39;Anacardiaceae &#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Anagallisarvensis&#39;, &#39;Anagallis arvensis&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Anemonenarcissiflora var.&#39;, &#39;Anemone narcissiflora&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Anenome &#39;, &#39;Anemone&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Anona &#39;, &#39;Annona &#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Antylis &#39;, &#39;Anthyllis&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Apocyncadea gelbblueh$&#39;, &#39;Apocynaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Aracium&#39;, &#39;Crepis&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Ardis mexic&#39;, &#39;Ardisia mexicana subsp. siltepecana&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Ardis verap&#39;, &#39;Ardisia verapazensis&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Argenomne hummemannii&#39;, &#39;Argemone hunnemanni&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Artabotus&#39;, &#39;Artabotrys&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Artemisiaintegrifolia&#39;, &#39;Artemisia integrifolia&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Asclepiacea$&#39;, &#39;Asclepiadaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Asclep. klimmer&#39;, &#39;Asclepiadaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Astartoseris triquetra&#39;, &#39;Lactuca triquetra&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Asteracee &#39;, &#39;Asteraceae &#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Avenula glauc$&#39;, &#39;Avenula&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Baikea plurijuga&#39;, &#39;Baikiaea plurijuga&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Binse rundbl&#39;, &#39;Juncaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Blättrige fabaceae th&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Bonel macro$&#39;, &#39;Bonellia macrocarpa subsp. macrocarpa&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Boraginacee samtig&#39;, &#39;Boraginaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Bri¢fitos&#39;, &#39;Bryophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Bryophyte$&#39;, &#39;Bryophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Bryopsida&#39;, &#39;Bryophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Carallia macrophylla&#39;, &#39;Carallia&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Carexectabilis&#39;, &#39;Carex spectabilis&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Carex fein&#39;, &#39;Carex&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Cerania vermicularis&#39;, &#39;Thamnolia vermicularis&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Chamelauci merredin&#39;, &#39;Chamelaucium&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Chamelau drummon&#39;, &#39;Chamelaucium&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Charophyta&#39;, &#39;Characeae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Cheiridopsis-keimlinge&#39;, &#39;Cheiridopsis&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Chenopodiacee$&#39;, &#39;Chenopodiaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Chiangioden mexicanum&#39;, &#39;Chiangiodendron mexicanum&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Chiranthode pentadactylon&#39;, &#39;Chiranthodendron pentadactylon&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Chrysobalan &#39;, &#39;Chrysobalanus &#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Cladapodiella&#39;, &#39;Cladopodiella&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Cleidium &#39;, &#39;Cleidion &#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Collema/leptogium lichenoides&#39;, &#39;Collemataceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Comarostaph discolor&#39;, &#39;Comarostaphylis discolor&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Combretdodendrum africana&#39;, &#39;Combretodendrum africanum&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Commelinacaea floscopa&#39;, &#39;Floscopa glomerata&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Coyncia setigera&#39;, &#39;Coincya setigera&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Crataeva&#39;, &#39;Crateva&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Craterosperma&#39;, &#39;Rubiaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Crespicium&#39;, &#39;Burseraceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Critoniadel nubigenus&#39;, &#39;Critoniadelphus nubigenus&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Crotalaria/vigna?&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Croto billb&#39;, &#39;Croton billbergianus subsp. pyramidalis&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Dana„ racemosa&#39;, &#39;Danae racemosa&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Deehasia&#39;, &#39;Dehaasia&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Dichapetala&#39;, &#39;Dichapetalum&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Distel bractea&#39;, &#39;Asteracaea&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Distelig asteraceae&#39;, &#39;Asteracaea&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Dodon visco&#39;, &#39;Dodonaea viscosa&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Doldenbluetler&#39;, &#39;Apiaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Echinosurus capitatus&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Einähriges gras$&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Einähriges gras von gestern$&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Einblütiges rispengras&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Eiovaltrichtergrundblatt orchidee&#39;, &#39;Orchidaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Elongata subsp.&#39;, &#39;Pohlia elongata&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Enriquebelt &#39;, &#39;Enriquebeltrania &#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Entermorpha &#39;, &#39;Enteromorpha &#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Erodiurn$&#39;, &#39;Erodium&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Euc. chloroclada x camaldulensis&#39;, &#39;Eucalyptus&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Euphorbiacée ipatouduluga gouduatché&#39;, &#39;Euphorbiaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Fabacee kleeblatt stengel schwarzdrüsi&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Fabaceenstrauch wie 132446 f&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Fabaceenstr kleinbltrg&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Fabacee wie lotus f&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Farn&#39;, &#39;Pteridophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Farn cystopteris&#39;, &#39;Cystopteris&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Fern&#39;, &#39;Pteridophyta&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, list=word(Species, 1)==&quot;Fingergras&quot;, values=&quot;Digitaria&quot;)) %&gt;% 
     mutate(Species=replace(Species, list=word(Species, 1)==&quot;Fingerhirse&quot;, values=&quot;Digitaria&quot;)) %&gt;% 
-  mutate(Species=gsub('Gelbe onagraceae', 'Onagraceae', Species)) %&gt;% 
-  mutate(Species=gsub('Gramine', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Graminea', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Graminia', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Grannenquecke', 'Poaceae', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Gelbe onagraceae&#39;, &#39;Onagraceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Gramine&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Graminea&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Graminia&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Grannenquecke&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                      list=word(Species, 1)==&quot;Gras&quot;, 
                      values=&quot;Poaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Gynostachi dicanthus', 'Gymnostachium diacanthus', Species)) %&gt;% 
-  mutate(Species=gsub('Hafer haarkranz', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Hapolosiphon', 'Hapalosiphon', Species)) %&gt;% 
-  mutate(Species=gsub('Heliocrysum', 'Helichrysum', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Gynostachi dicanthus&#39;, &#39;Gymnostachium diacanthus&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hafer haarkranz&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hapolosiphon&#39;, &#39;Hapalosiphon&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Heliocrysum&#39;, &#39;Helichrysum&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, list=word(Species, 1)==&quot;Hepaticae&quot;, values=&quot;Bryophyta&quot;)) %&gt;% 
-  mutate(Species=gsub('Hepaticas', 'Bryophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Hepatophyta', 'Bryophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Hermerocalis', 'Hemerocallis', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hepaticas&#39;, &#39;Bryophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hepatophyta&#39;, &#39;Bryophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hermerocalis&#39;, &#39;Hemerocallis&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                      list=word(Species, 1)==&quot;Hirse&quot;, 
                      values=&quot;Poaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Hirte trian', 'Hirtella triandra subsp. media', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hirte trian&#39;, &#39;Hirtella triandra subsp. media&#39;, Species)) %&gt;% 
     mutate(Species=replace(Species, list=word(Species, 1)==&quot;Hohlzahn&quot;, values=&quot;Lamiaceae&quot;)) %&gt;%
-  mutate(Species=gsub('Hondurodend urceolatum', 'Hondurodendron urceolatum', Species)) %&gt;% 
-  mutate(Species=gsub('Hornklee gelb', 'Fabaceae', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hondurodend urceolatum&#39;, &#39;Hondurodendron urceolatum&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hornklee gelb&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                      list=word(Species, 1)==&quot;Horstgras&quot;,
                      values=&quot;Poaceae&quot;)) %&gt;% 
   mutate(Species=replace(Species, 
                      list=word(Species, 1)==&quot;Huehnerhirse&quot;,
                      values=&quot;Digitaria&quot;)) %&gt;% 
-  mutate(Species=gsub('Hydrocoleus lyngbyaceus', 'Hydrocoleum lyngbyaceum', Species)) %&gt;% 
-  mutate(Species=gsub('Hyernima nipensis', 'Hieronyma nipensis', Species)) %&gt;% 
-  mutate(Species=gsub('Hyeronima', 'Hieronyma', Species)) %&gt;% 
-  mutate(Species=gsub('Hypocal angusti', 'Hypocalymma angustifolium', Species)) %&gt;% 
-  mutate(Species=gsub('Hypocalym nambung', 'Hypocalymma', Species)) %&gt;% 
-  mutate(Species=gsub('Hyprium', 'Hypericum', Species)) %&gt;% 
-  mutate(Species=gsub('Igelkolben', 'Sparganium', Species)) %&gt;% 
-  mutate(Species=gsub('Ilexã‚â paraguariensis', 'Ilex', Species)) %&gt;% 
-  mutate(Species=gsub('Ipomea', 'Ipomoea', Species)) %&gt;% 
-  mutate(Species=gsub('Ipomoena', 'Ipomoea', Species)) %&gt;% 
-  mutate(Species=gsub('Jm kürbis stark behaart', 'Cucurbitaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Juncaginacee/triglochin', 'Triglochin', Species)) %&gt;% 
-  mutate(Species=gsub('Juncas', 'Juncus', Species)) %&gt;% 
-  mutate(Species=gsub('Keilblatt cyperus', 'Cyperus', Species)) %&gt;% 
-  mutate(Species=gsub('Khh 3010 polygalacee', 'Polygalaceae', Species)) %&gt;% 
-  mutate(Species=gsub(' Khh 3014 liliacee 3f„ch. kapsel schwarze samen', 'Liliaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Khh 3024 brachiaria', 'Brachiaria', Species)) %&gt;% 
-  mutate(Species=gsub('Khh 3025 liliaceae gelbe blten breite bl„tter', 'Liliaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Khh 3037 ficus', 'Ficus', Species)) %&gt;% 
-  mutate(Species=gsub('Khh 3054 ficus iteophylla miq.', 'Ficus', Species)) %&gt;% 
-  mutate(Species=gsub('Kl. borstgras', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Kleine malvaceae', 'Malvaceae', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hydrocoleus lyngbyaceus&#39;, &#39;Hydrocoleum lyngbyaceum&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hyernima nipensis&#39;, &#39;Hieronyma nipensis&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hyeronima&#39;, &#39;Hieronyma&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hypocal angusti&#39;, &#39;Hypocalymma angustifolium&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hypocalym nambung&#39;, &#39;Hypocalymma&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Hyprium&#39;, &#39;Hypericum&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Igelkolben&#39;, &#39;Sparganium&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Ilexã‚â paraguariensis&#39;, &#39;Ilex&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Ipomea&#39;, &#39;Ipomoea&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Ipomoena&#39;, &#39;Ipomoea&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Jm kürbis stark behaart&#39;, &#39;Cucurbitaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Juncaginacee/triglochin&#39;, &#39;Triglochin&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Juncas&#39;, &#39;Juncus&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Keilblatt cyperus&#39;, &#39;Cyperus&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Khh 3010 polygalacee&#39;, &#39;Polygalaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39; Khh 3014 liliacee 3f„ch. kapsel schwarze samen&#39;, &#39;Liliaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Khh 3024 brachiaria&#39;, &#39;Brachiaria&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Khh 3025 liliaceae gelbe blten breite bl„tter&#39;, &#39;Liliaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Khh 3037 ficus&#39;, &#39;Ficus&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Khh 3054 ficus iteophylla miq.&#39;, &#39;Ficus&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Kl. borstgras&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Kleine malvaceae&#39;, &#39;Malvaceae&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                      list=word(Species, 1)==&quot;Kletter&quot;, 
                      values=&quot;Asteraceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Klimmer asclepiadaceae', 'Asclepiadaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Klimmer curcuvitaceae', 'Cucurbitaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Kl. sauergras', 'Cyperaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Knabenkraut gefleckt', 'Orchis', Species)) %&gt;% 
-  mutate(Species=gsub('Knubbelblüt. gras haarkranz vgl f', 'Poaceae', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Klimmer asclepiadaceae&#39;, &#39;Asclepiadaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Klimmer curcuvitaceae&#39;, &#39;Cucurbitaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Kl. sauergras&#39;, &#39;Cyperaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Knabenkraut gefleckt&#39;, &#39;Orchis&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Knubbelblüt. gras haarkranz vgl f&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                    list=word(Species, 1)==&quot;Koenigskerze&quot;, 
                    values=&quot;Verbascum&quot;)) %&gt;% 
-  mutate(Species=gsub('Kriechgras zynodon', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Kürbis', 'Cucurbitaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Lamiaceen strauch', 'Lamiaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Lamiacee orange', 'Lamiaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Lamiales orobanchaceae + phrymaceae + plantaginaceae + scrophulariaceae', 'Orobanchaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Lantanacamara wandelrösschen', 'Lantana camara', Species)) %&gt;% 
-  mutate(Species=gsub('Lasiopeta watheroo k. shepherd &amp; c. wilkins ks', 'Lasiopetalum', Species)) %&gt;% 
-  mutate(Species=gsub('Leg-inderteminada', 'Fabaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Legu 1fiedrig groá schlank', 'Fabaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Legume$', 'Fabaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Leguminosae spgm', 'Fabaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Leguminosea', 'Fabaceae', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Kriechgras zynodon&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Kürbis&#39;, &#39;Cucurbitaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lamiaceen strauch&#39;, &#39;Lamiaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lamiacee orange&#39;, &#39;Lamiaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lamiales orobanchaceae + phrymaceae + plantaginaceae + scrophulariaceae&#39;, &#39;Orobanchaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lantanacamara wandelrösschen&#39;, &#39;Lantana camara&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lasiopeta watheroo k. shepherd &amp; c. wilkins ks&#39;, &#39;Lasiopetalum&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Leg-inderteminada&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Legu 1fiedrig groá schlank&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Legume$&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Leguminosae spgm&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Leguminosea&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                  list=word(Species, 1)==&quot;Leguminose&quot;, 
                  values=&quot;Fabaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Leheelo grass', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Lepid carra', 'Lepiderema', Species)) %&gt;% 
-  mutate(Species=gsub('Lich caloplaca', 'Caloplaca', Species)) %&gt;% 
-  mutate(Species=gsub('Liliacee', 'Liliaceae', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Leheelo grass&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lepid carra&#39;, &#39;Lepiderema&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lich caloplaca&#39;, &#39;Caloplaca&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Liliacee&#39;, &#39;Liliaceae&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Lilie&quot;, 
                values=&quot;Liliaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Liliengewächs', 'Liliaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Lisea', 'Litsea', Species)) %&gt;% 
-  mutate(Species=gsub('Lisymachia', 'Lysimachia', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Liliengewächs&#39;, &#39;Liliaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lisea&#39;, &#39;Litsea&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lisymachia&#39;, &#39;Lysimachia&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Liverwort&quot;, 
                values=&quot;Bryophyta&quot;)) %&gt;% 
-  mutate(Species=gsub('Livwort', 'Bryophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Lonicerachrysantha', 'Lonicera chrysantha', Species)) %&gt;% 
-  mutate(Species=gsub('Lycoctamnus barbatus', 'Aconitum barbatum', Species)) %&gt;% 
-  mutate(Species=gsub('Lygopus', 'Lycopus', Species)) %&gt;% 
-  mutate(Species=gsub('Maitenus', 'Maytenus', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Livwort&#39;, &#39;Bryophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lonicerachrysantha&#39;, &#39;Lonicera chrysantha&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lycoctamnus barbatus&#39;, &#39;Aconitum barbatum&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lygopus&#39;, &#39;Lycopus&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Maitenus&#39;, &#39;Maytenus&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Malpighiace&quot;, 
                values=&quot;Malpighiaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Malpighiales chrysobalanaceae + humiriaceae', 'Malpighiaceae', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Malpighiales chrysobalanaceae + humiriaceae&#39;, &#39;Malpighiaceae&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Malve&quot;, 
                values=&quot;Malvaceae&quot;)) %&gt;% 
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Mammutgras&quot;, 
                values=&quot;Poaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Mammutgrass', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Maqui guian', 'Maquira guianensis subsp. costaricana', Species)) %&gt;% 
-  mutate(Species=gsub('Marchantiophyta', 'Bryophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Mariana aphylla', 'Maireana aphylla', Species)) %&gt;% 
-  mutate(Species=gsub('Mehrfingeriges ährengras', 'Poaceae', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Mammutgrass&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Maqui guian&#39;, &#39;Maquira guianensis subsp. costaricana&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Marchantiophyta&#39;, &#39;Bryophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Mariana aphylla&#39;, &#39;Maireana aphylla&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Mehrfingeriges ährengras&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Melastomata&quot;, 
                values=&quot;Melastomataceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Mesembr minibl', 'Mesembryanthemum', Species)) %&gt;% 
-  mutate(Species=gsub('Mesostomma kotschyanum', 'Mesostemma kotschyana', Species)) %&gt;% 
-  mutate(Species=gsub('Microhepatics', 'Bryophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Micromeria micrantha', 'Micromeria graeca subsp. micrantha', Species)) %&gt;% 
-  mutate(Species=gsub('Mimose minifiedrig f', 'Fabaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Miniepilobium', 'Epilobium', Species)) %&gt;% 
-  mutate(Species=gsub('Minimargerite', 'Asteraceae', Species)) %&gt;% 
-  mutate(Species=gsub('Miniochna', 'Ochna', Species)) %&gt;% 
-  mutate(Species=gsub('Minischilf 132466 f', 'Poaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Mistletoe', 'Viscum', Species)) %&gt;% 
-  mutate(Species=gsub('Mniaecia', 'Mniaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Molemo', 'Turraea', Species)) %&gt;% 
-  mutate(Species=gsub('Molses', 'Bryophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Momisa pigra', 'Mimosa pigra', Species)) %&gt;% 
-  mutate(Species=gsub('Monandrus squarrosus', 'Cyperus squarrosus', Species)) %&gt;% 
-  mutate(Species=gsub('Monchema debile', 'Monechma debile', Species)) %&gt;%
+  mutate(Species=gsub(&#39;Mesembr minibl&#39;, &#39;Mesembryanthemum&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Mesostomma kotschyanum&#39;, &#39;Mesostemma kotschyana&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Microhepatics&#39;, &#39;Bryophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Micromeria micrantha&#39;, &#39;Micromeria graeca subsp. micrantha&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Mimose minifiedrig f&#39;, &#39;Fabaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Miniepilobium&#39;, &#39;Epilobium&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Minimargerite&#39;, &#39;Asteraceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Miniochna&#39;, &#39;Ochna&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Minischilf 132466 f&#39;, &#39;Poaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Mistletoe&#39;, &#39;Viscum&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Mniaecia&#39;, &#39;Mniaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Molemo&#39;, &#39;Turraea&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Molses&#39;, &#39;Bryophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Momisa pigra&#39;, &#39;Mimosa pigra&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Monandrus squarrosus&#39;, &#39;Cyperus squarrosus&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Monchema debile&#39;, &#39;Monechma debile&#39;, Species)) %&gt;%
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Monochna&quot;, 
                values=&quot;Polygalaceae&quot;)) %&gt;% 
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Moos&quot;, 
                values=&quot;Bryophyta&quot;)) %&gt;% 
-  mutate(Species=gsub('Moospolster grau-grün', 'Bryophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Mortonioden ', 'Mortoniodendron ', Species)) %&gt;% 
-  mutate(Species=gsub('Mos onbekend', 'Bryophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Mossen overige', 'Bryophyta', Species)) %&gt;% 
-  mutate(Species=gsub('Mougetia', 'Mougeotia', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Moospolster grau-grün&#39;, &#39;Bryophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Mortonioden &#39;, &#39;Mortoniodendron &#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Mos onbekend&#39;, &#39;Bryophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Mossen overige&#39;, &#39;Bryophyta&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Mougetia&#39;, &#39;Mougeotia&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Musci&quot;, 
                values=&quot;Bryophyta&quot;)) %&gt;% 
-  mutate(Species=gsub('Myciantes', 'Myrcianthes', Species)) %&gt;% 
-  mutate(Species=gsub('Myrciaã‚â pulchra', 'Myrcia pulchra', Species)) %&gt;% 
-  mutate(Species=gsub('Myrcianov.', 'Myrcia', Species, fixed = T)) %&gt;% 
-  mutate(Species=gsub('Myrsi coria', 'Myrsine coriacea', Species)) %&gt;% 
-  mutate(Species=gsub('Myrtaceenstrauch', 'Myrtaceae', Species)) %&gt;% 
-  mutate(Species=gsub('Nachtkerze fru dreispaltig', 'Onagracaee', Species)) %&gt;% 
-  mutate(Species=gsub('Neobartsia crenoloba', 'Bartsia crenoloba', Species)) %&gt;% 
-  mutate(Species=gsub('None$', 'Nonea', Species)) %&gt;%
-  mutate(Species=gsub('Ocos adenophylla', 'Symplocos adenophylla', Species)) %&gt;%
-  mutate(Species=gsub('Officinale subsp. group', 'Taraxacum officinale s.l.', Species)) %&gt;%
-  mutate(Species=gsub('Orch$', 'Orchidaceae', Species)) %&gt;%
-  mutate(Species=gsub('Orchid', 'Orchidaceae', Species)) %&gt;%
+  mutate(Species=gsub(&#39;Myciantes&#39;, &#39;Myrcianthes&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Myrciaã‚â pulchra&#39;, &#39;Myrcia pulchra&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Myrcianov.&#39;, &#39;Myrcia&#39;, Species, fixed = T)) %&gt;% 
+  mutate(Species=gsub(&#39;Myrsi coria&#39;, &#39;Myrsine coriacea&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Myrtaceenstrauch&#39;, &#39;Myrtaceae&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Nachtkerze fru dreispaltig&#39;, &#39;Onagracaee&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Neobartsia crenoloba&#39;, &#39;Bartsia crenoloba&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;None$&#39;, &#39;Nonea&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Ocos adenophylla&#39;, &#39;Symplocos adenophylla&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Officinale subsp. group&#39;, &#39;Taraxacum officinale s.l.&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Orch$&#39;, &#39;Orchidaceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Orchid&#39;, &#39;Orchidaceae&#39;, Species)) %&gt;%
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Orchidee&quot;, 
                values=&quot;Orchidaceae&quot;)) %&gt;% 
   mutate(Species=replace(Species, 
                list=word(Species, 1) %in% c(&quot;Papilonacea&quot;, &quot;Papilionacea&quot;),
                values=&quot;Fabaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Pasania dodoniifolia', 'Lithocarpus dodonaeifolius', Species)) %&gt;%
-  mutate(Species=gsub('Phoebengmoensis', 'Phoebe hungmoensis', Species)) %&gt;%
-  mutate(Species=gsub('Picra antid$', 'Picramnia antidesma subsp. fessonia', Species)) %&gt;%
-  mutate(Species=gsub('Pinopsida', 'Coniferae', Species)) %&gt;%
-  mutate(Species=gsub('Pisonianov.', 'Pisonia', Species, fixed=T)) %&gt;%
-  mutate(Species=gsub('Pithecellob ', 'Pithecellobium ', Species)) %&gt;%
-  mutate(Species=gsub('Pithecocten', 'Pithecoctenium', Species)) %&gt;%
-  mutate(Species=gsub('Pleradenoph longicuspis', 'Pleradenophora longicuspis', Species)) %&gt;%
-  mutate(Species=gsub('Pleuranthod ', 'Pleuranthodendron ', Species)) %&gt;%
-  mutate(Species=gsub('Poales', 'Poaceae', Species)) %&gt;%
+  mutate(Species=gsub(&#39;Pasania dodoniifolia&#39;, &#39;Lithocarpus dodonaeifolius&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Phoebengmoensis&#39;, &#39;Phoebe hungmoensis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Picra antid$&#39;, &#39;Picramnia antidesma subsp. fessonia&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Pinopsida&#39;, &#39;Coniferae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Pisonianov.&#39;, &#39;Pisonia&#39;, Species, fixed=T)) %&gt;%
+  mutate(Species=gsub(&#39;Pithecellob &#39;, &#39;Pithecellobium &#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Pithecocten&#39;, &#39;Pithecoctenium&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Pleradenoph longicuspis&#39;, &#39;Pleradenophora longicuspis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Pleuranthod &#39;, &#39;Pleuranthodendron &#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Poales&#39;, &#39;Poaceae&#39;, Species)) %&gt;%
   mutate(Species=replace(Species, 
                list=word(Species, 1) %in% c(&quot;Polygalacea&quot;, &quot;Polygalacee&quot;),
                values=&quot;Polygalaceae&quot;)) %&gt;%
   mutate(Species=replace(Species, 
                list=word(Species, 1) %in% c(&quot;Polygonaceae&quot;, &quot;Polygonacee&quot;),
                values=&quot;Polygonaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Polygonumlongisetum', 'Polygonum longisetum', Species)) %&gt;%
-  mutate(Species=gsub('Posoq coria subsp. maxima', 'Posoqueria coriacea subsp. maxima', Species)) %&gt;%
-  mutate(Species=gsub('Prosthecidi ', 'Prosthecidiscus ', Species)) %&gt;%
-  mutate(Species=gsub('Pseudo bidens', '', Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Polygonumlongisetum&#39;, &#39;Polygonum longisetum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Posoq coria subsp. maxima&#39;, &#39;Posoqueria coriacea subsp. maxima&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Prosthecidi &#39;, &#39;Prosthecidiscus &#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Pseudo bidens&#39;, &#39;&#39;, Species)) %&gt;% 
   mutate(Species=replace(Species, 
                list=word(Species, 1) %in% 
                  c(&quot;Pseudobriza&quot;, &quot;Pseudofingergras&quot;, 
@@ -1046,93 +1311,94 @@ spec.list.TRY.sPlot &lt;- spec.list.TRY.sPlot %&gt;%
                    &quot;Roggen/hafer&quot;, &quot;Ruchgras&quot;, &quot;Silbergras&quot;, 
                    &quot;Suessgras&quot;), 
                values=&quot;Poaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Ptarmica', 'Achillea', Species)) %&gt;%
-  mutate(Species=gsub('Pterost cauline leaves n. gibson &amp; m.n. lyons', 'Pterostegia', Species)) %&gt;%
-  mutate(Species=gsub('Quararibeaã‚â guianensis', 'Quararibea guianensis', Species)) %&gt;%
-  mutate(Species=gsub('Rainfarn f', 'Asteraceae', Species)) %&gt;%
-  mutate(Species=gsub('Ranke ipomoea', 'Ipomoea', Species)) %&gt;%
-  mutate(Species=gsub('Ranke rubiaceae', 'Rubiaceae', Species)) %&gt;%
-  mutate(Species=gsub('Rauwolfia', 'Rauvolfia', Species)) %&gt;%
-  mutate(Species=gsub('Rheinfarn', 'Asteraceae', Species)) %&gt;%
-  mutate(Species=gsub('Rhodostemon kunthiana', 'Rhodostemonodaphne kunthiana', Species)) %&gt;%
-  mutate(Species=gsub('Riccardia/aneura', 'Bryophyta', Species)) %&gt;%
-  mutate(Species=gsub('Rietgras steril 134051a', 'Poaceae', Species)) %&gt;%
-  mutate(Species=gsub('Rosenbergio formosum', 'Rosenbergiodendron formosum', Species)) %&gt;%
-  mutate(Species=gsub('Rotes puschelgras', 'Poaceae', Species)) %&gt;%
+  mutate(Species=gsub(&#39;Ptarmica&#39;, &#39;Achillea&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Pterost cauline leaves n. gibson &amp; m.n. lyons&#39;, &#39;Pterostegia&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Quararibeaã‚â guianensis&#39;, &#39;Quararibea guianensis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Rainfarn f&#39;, &#39;Asteraceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Ranke ipomoea&#39;, &#39;Ipomoea&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Ranke rubiaceae&#39;, &#39;Rubiaceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Rauwolfia&#39;, &#39;Rauvolfia&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Rheinfarn&#39;, &#39;Asteraceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Rhodostemon kunthiana&#39;, &#39;Rhodostemonodaphne kunthiana&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Riccardia/aneura&#39;, &#39;Bryophyta&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Rietgras steril 134051a&#39;, &#39;Poaceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Rosenbergio formosum&#39;, &#39;Rosenbergiodendron formosum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Rotes puschelgras&#39;, &#39;Poaceae&#39;, Species)) %&gt;%
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Rubiacea&quot;, 
                values=&quot;Rubiaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Rytidospe goomallin a.g. gunness et al. oakp 10/', 'Rytidosperma', Species)) %&gt;%
-  mutate(Species=gsub('Salacia idoensis', 'Salacia', Species)) %&gt;%
-  mutate(Species=gsub('Samphire', 'Amaranthaceae', Species)) %&gt;%
+  mutate(Species=gsub(&#39;Rytidospe goomallin a.g. gunness et al. oakp 10/&#39;, &#39;Rytidosperma&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Salacia idoensis&#39;, &#39;Salacia&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Samphire&#39;, &#39;Amaranthaceae&#39;, Species)) %&gt;%
   mutate(Species=replace(Species, 
                list=word(Species, 1) %in% 
                  c(&quot;Sauergras&quot;, &quot;Schlanksegge&quot;, &quot;Sedge&quot;, 
                    &quot;Segge&quot;, &quot;Simse&quot;),
                values=&quot;Cyperaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Scaev repen subsp. north sandp r.j. cranf &amp; p.j. spenc', 'Scaevola repens', Species)) %&gt;%
+  mutate(Species=gsub(&#39;Scaev repen subsp. north sandp r.j. cranf &amp; p.j. spenc&#39;, &#39;Scaevola repens&#39;, Species)) %&gt;%
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Schachtelhalm&quot;, 
                values=&quot;Equisetaceae&quot;)) %&gt;% 
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Schnittlauch&quot;, 
                values=&quot;Amaryllidaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Schwertlilie trocken', 'Iridaceae', Species)) %&gt;%
+  mutate(Species=gsub(&#39;Schwertlilie trocken&#39;, &#39;Iridaceae&#39;, Species)) %&gt;%
   mutate(Species=replace(Species, 
                list=word(Species, 1) %in% c(&quot;Scropholacea&quot;, &quot;Scrophulariacea&quot;, &quot;Scroph.&quot;),
                values=&quot;Scrophulariacea&quot;)) %&gt;% 
-  mutate(Species=gsub('Sitzende onagraceae', 'Onagraceae', Species)) %&gt;%
-  mutate(Species=gsub('Sonnenblume', 'Asteraceae', Species)) %&gt;%
-  mutate(Species=gsub('Stachelgurke', 'Cucurbitaceae', Species)) %&gt;%
-  mutate(Species=gsub('Stark behaarte malve', 'Malvaceae', Species)) %&gt;%
-  mutate(Species=gsub('Staude asteraceae bl watteweich f', 'Asteraceae', Species)) %&gt;%
-  mutate(Species=gsub('Staude crotalaria unterseite silber', 'Crotalaria', Species)) %&gt;%
-  mutate(Species=gsub('Staude solanum', 'Solanaceae', Species)) %&gt;%
-  mutate(Species=gsub('Staude tephrosia', 'Tephrosia', Species)) %&gt;%
-  mutate(Species=gsub('Stipagrosist panicle gross', 'Stipagrostis', Species)) %&gt;%
-  mutate(Species=gsub('Asteraceae u silber', 'Asteraceae', Species)) %&gt;%
-  mutate(Species=gsub('Stratonostoc communeá', 'Stratonostoc commune', Species)) %&gt;%
-  mutate(Species=gsub('Strauch asteraceae nadelblätt.', 'Asteraceae', Species)) %&gt;%
-  mutate(Species=gsub('Strauch blatt wie salix reticulata astera', 'Asteraceae', Species)) %&gt;%
-  mutate(Species=gsub('Strauch blatt wie salix reticulata astera 132534b', 'Asteraceae', Species)) %&gt;%
-  mutate(Species=gsub('Strauch fabaceae gerieft schote', 'Fabaceae', Species)) %&gt;%
+  mutate(Species=gsub(&#39;Sitzende onagraceae&#39;, &#39;Onagraceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Sonnenblume&#39;, &#39;Asteraceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Stachelgurke&#39;, &#39;Cucurbitaceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Stark behaarte malve&#39;, &#39;Malvaceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Staude asteraceae bl watteweich f&#39;, &#39;Asteraceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Staude crotalaria unterseite silber&#39;, &#39;Crotalaria&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Staude solanum&#39;, &#39;Solanaceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Staude tephrosia&#39;, &#39;Tephrosia&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Stipagrosist panicle gross&#39;, &#39;Stipagrostis&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Asteraceae u silber&#39;, &#39;Asteraceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Stratonostoc communeá&#39;, &#39;Stratonostoc commune&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Strauch asteraceae nadelblätt.&#39;, &#39;Asteraceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Strauch blatt wie salix reticulata astera&#39;, &#39;Asteraceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Strauch blatt wie salix reticulata astera 132534b&#39;, &#39;Asteraceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Strauch fabaceae gerieft schote&#39;, &#39;Fabaceae&#39;, Species)) %&gt;%
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Strauch&quot; &amp;
                  word(Species,2)==&quot;Rubiaceae&quot;, 
                values=&quot;Rubiaceae&quot;)) %&gt;% 
-  mutate(Species=gsub('Fabaceae samtig bl lanzettlich', 'Fabaceae', Species)) %&gt;%
-  mutate(Species=gsub('Ochna mini', 'Ochna', Species)) %&gt;%
-  mutate(Species=gsub('Stryphnoden microstachyum', 'Stryphnodendron microstachyum', Species)) %&gt;%
-  mutate(Species=gsub('Sumpfgladiole haarig', 'Gladiolus', Species)) %&gt;%
-  mutate(Species=gsub('Sygnum ramphicarpa', 'Scrophulariaceae', Species)) %&gt;%
+  mutate(Species=gsub(&#39;Fabaceae samtig bl lanzettlich&#39;, &#39;Fabaceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Ochna mini&#39;, &#39;Ochna&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Stryphnoden microstachyum&#39;, &#39;Stryphnodendron microstachyum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Sumpfgladiole haarig&#39;, &#39;Gladiolus&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Sygnum ramphicarpa&#39;, &#39;Scrophulariaceae&#39;, Species)) %&gt;%
   mutate(Species=replace(Species, 
                list=word(Species, 1)==&quot;Symplococar&quot;, 
                values=&quot;Symplococarpon&quot;)) %&gt;% 
-  mutate(Species=gsub('Sysirinchium', 'Sisyrinchium', Species)) %&gt;%
-  mutate(Species=gsub('Syzigium accuminatisima', 'Syzygium acuminatissimum', Species)) %&gt;%
-  mutate(Species=gsub('Tabernaemon ', 'Tabernaemontana ', Species)) %&gt;%
-  mutate(Species=gsub('Thalassodend', 'Thalassodendron', Species)) %&gt;%
-  mutate(Species=gsub('Thinouia canescens', 'Thinouia', Species)) %&gt;%
-  mutate(Species=gsub('Thistle', 'Asteraceae', Species)) %&gt;%
-  mutate(Species=gsub('Trisetumicatum', 'Trisetum spicatum', Species)) %&gt;%
-  mutate(Species=gsub('Undetermined sedge', 'Cyperaceae', Species)) %&gt;%
+  mutate(Species=gsub(&#39;Sysirinchium&#39;, &#39;Sisyrinchium&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Syzigium accuminatisima&#39;, &#39;Syzygium acuminatissimum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Tabernaemon &#39;, &#39;Tabernaemontana &#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Thalassodend&#39;, &#39;Thalassodendron&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Thinouia canescens&#39;, &#39;Thinouia&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Thistle&#39;, &#39;Asteraceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Trisetumicatum&#39;, &#39;Trisetum spicatum&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Undetermined sedge&#39;, &#39;Cyperaceae&#39;, Species)) %&gt;%
   mutate(Species=replace(Species, 
                list=word(Species, 1) %in% 
                  c(&quot;Liverwort&quot;, &quot;Liverworts&quot;, &quot;Moss&quot;), 
                values=&quot;Bryophyta&quot;)) %&gt;% 
-  mutate(Species=gsub('Vismi bacci', 'Vismia baccifera subsp. ferruginea', Species)) %&gt;%
-  mutate(Species=gsub('Weidenr”schen', 'Onagraceae', Species)) %&gt;%
-  mutate(Species=gsub('Weißpelziger brauner Spross Asteracea', 'Asteraceae', Species)) %&gt;%
-  mutate(Species=gsub('Wie stipagrostis', 'Poaceae', Species)) %&gt;%
-  mutate(Species=gsub('Wincassia', 'Fabaceae', Species)) %&gt;%
-  mutate(Species=gsub('xDactyloden st-quintini', 'Dactylodenia st-quintinii', Species)) %&gt;%
-  mutate(Species=gsub('Zizyphus sp1 IUCN1', 'Zizyphus', Species)) %&gt;%
-  mutate(Species=gsub('Zwiebel Lilaceae steril', 'Lilaceae', Species)) %&gt;%
-  mutate(Species=gsub('Zwstr faurea', 'Faurea', Species)) %&gt;% 
-  mutate(Species=gsub('Quercus crispla', 'Quercus crispula', Species)) %&gt;% 
-  mutate(Species=gsub('Corallorrhiza', 'Corallorhiza', Species)) %&gt;% 
-  mutate(Species=gsub('Brunella vulgaris', 'Prunella vulgaris', Species))</code></pre>
-<p>A total of 23286 species names were modified. Although substantially improved, the species list has still quite a lot of inconsistencies. The total list submitted to TNRS contains 333137 species names.</p>
+  mutate(Species=gsub(&#39;Vismi bacci&#39;, &#39;Vismia baccifera subsp. ferruginea&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Weidenr”schen&#39;, &#39;Onagraceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Weißpelziger brauner Spross Asteracea&#39;, &#39;Asteraceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Wie stipagrostis&#39;, &#39;Poaceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Wincassia&#39;, &#39;Fabaceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;xDactyloden st-quintini&#39;, &#39;Dactylodenia st-quintinii&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Zizyphus sp1 IUCN1&#39;, &#39;Zizyphus&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Zwiebel Lilaceae steril&#39;, &#39;Lilaceae&#39;, Species)) %&gt;%
+  mutate(Species=gsub(&#39;Zwstr faurea&#39;, &#39;Faurea&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Quercus crispla&#39;, &#39;Quercus crispula&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Corallorrhiza&#39;, &#39;Corallorhiza&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Brunella vulgaris&#39;, &#39;Prunella vulgaris&#39;, Species)) %&gt;% 
+  mutate(Species=gsub(&#39;Lamprothamnum&#39;, &#39;Lamprothamnium&#39;, Species))</code></pre>
+<p>A total of 23287 species names were modified. Although substantially improved, the species list has still quite a lot of inconsistencies. The total list submitted to TNRS contains 333136 species names.</p>
 </div>
 </div>
 <div id="match-names-against-taxonomic-name-resolution-service-tnrs" class="section level1">
@@ -1140,6 +1406,10 @@ spec.list.TRY.sPlot &lt;- spec.list.TRY.sPlot %&gt;%
 <p>Export species name list</p>
 <pre class="r"><code>write_csv(spec.list.TRY.sPlot %&gt;% dplyr::select(Species) %&gt;% distinct() ,  
           path = &quot;../_derived/TNRS_submit/tnrs_submit_iter1.csv&quot;)</code></pre>
+<pre><code>## Warning: The `path` argument of `write_csv()` is deprecated as of readr 1.4.0.
+## Please use the `file` argument instead.
+## This warning is displayed once every 8 hours.
+## Call `lifecycle::last_warnings()` to see where this warning was generated.</code></pre>
 <p>The csv-file of species names was submitted to Taxonomic Name Resolution Service web application (Boyle et al. 2013, iPlant Collaborative (2015). TNRS version 4.0 was used, which became available in August 2015 (this version also included The Plant List version 1.1). TNRS was queried on 24/02/2020.</p>
 <div id="ID" class="section level2">
 <h2><span class="header-section-number">2.1</span> TNRS settings</h2>
@@ -1177,7 +1447,7 @@ spec.list.TRY.sPlot &lt;- spec.list.TRY.sPlot %&gt;%
 <div id="iteration-1---read-and-combine-tnrs-result-files" class="section level2">
 <h2><span class="header-section-number">2.2</span> Iteration 1 - Read and combine TNRS result files</h2>
 <p>Read the files downloaded from TNRS into <code>R</code>.</p>
-<pre class="r"><code>tnrs.res0 &lt;- readr::read_delim(&quot;../_derived/TNRS_submit/tnrs_results_iter1.txt&quot;, delim=&quot;\t&quot;, locale = locale(encoding = 'UTF-8'),quote=&quot;&quot;,
+<pre class="r"><code>tnrs.res0 &lt;- readr::read_delim(&quot;../_derived/TNRS_submit/tnrs_results_iter1.txt&quot;, delim=&quot;\t&quot;, locale = locale(encoding = &#39;UTF-8&#39;),quote=&quot;&quot;,
           col_type = cols(
                 .default = col_character(),
                 Name_number = col_double(),
@@ -1346,7 +1616,7 @@ tnrs.submit.iter2 &lt;- tnrs.submit.iter2 %&gt;%
 tnrs.submit.iter2 &lt;- tnrs.submit.iter2 %&gt;%
   na.omit() %&gt;%
   group_by(old) %&gt;%
-  mutate(family.lev=str_extract(word(new,1), pattern='([^\\s]+aceae)')) %&gt;%
+  mutate(family.lev=str_extract(word(new,1), pattern=&#39;([^\\s]+aceae)&#39;)) %&gt;%
   mutate(new=ifelse(is.na(family.lev), new, family.lev)) %&gt;%
   dplyr::select(-family.lev) %&gt;%
   ungroup()
@@ -1356,7 +1626,7 @@ tnrs.submit.iter2 &lt;- tnrs.submit.iter2 %&gt;%
   group_by(old) %&gt;%
   mutate(Name_binomial=paste(word(new, c(1,2)), collapse=&quot; &quot;)) %&gt;%
   ungroup() %&gt;%
-  mutate(Name_binomial=gsub(' NA$', '', Name_binomial))</code></pre>
+  mutate(Name_binomial=gsub(&#39; NA$&#39;, &#39;&#39;, Name_binomial))</code></pre>
 </div>
 <div id="save-species-list-to-submit-to-tnrs-for-iteration-2" class="section level3">
 <h3><span class="header-section-number">2.2.9</span> Save species list to submit to TNRS for iteration 2</h3>
@@ -1369,7 +1639,7 @@ tnrs.submit.iter2 &lt;- tnrs.submit.iter2 %&gt;%
 </div>
 <div id="iteration-2---reimport-resolved-species-names-from-tnrs-and-mark-solved" class="section level2">
 <h2><span class="header-section-number">2.3</span> Iteration 2 - Reimport resolved species names from TNRS and mark solved</h2>
-<pre class="r"><code>tnrs.res.iter2.raw &lt;- readr::read_delim(&quot;../_derived/TNRS_submit/tnrs_results_iter2.txt&quot;, delim=&quot;\t&quot;, locale = locale(encoding = 'UTF-8'),quote=&quot;&quot;,
+<pre class="r"><code>tnrs.res.iter2.raw &lt;- readr::read_delim(&quot;../_derived/TNRS_submit/tnrs_results_iter2.txt&quot;, delim=&quot;\t&quot;, locale = locale(encoding = &#39;UTF-8&#39;),quote=&quot;&quot;,
           col_type = cols(
                 .default = col_character(),
                 Name_number = col_double(),
@@ -1484,7 +1754,7 @@ save(tnrs.res.iter2.certain, tnrs.res.iter2.uncertain,
 <div id="iteration-3---reimport-resolved-species-names-from-tnrs_ncbi" class="section level2">
 <h2><span class="header-section-number">2.4</span> Iteration 3 - Reimport resolved species names from <code>TNRS_NCBI</code></h2>
 <pre class="r"><code>tnrs.res.iter3.raw &lt;- readr::read_delim(&quot;../_derived/TNRS_submit/tnrs_results_iter3.txt&quot;, delim=&quot;\t&quot;, 
-                                        locale = locale(encoding = 'UTF-8'),quote=&quot;&quot;,
+                                        locale = locale(encoding = &#39;UTF-8&#39;),quote=&quot;&quot;,
           col_type = cols(
                 .default = col_character(),
                 Name_number = col_double(),
@@ -1659,7 +1929,7 @@ load(&quot;../_derived/TNRS_submit/tnrs.iter3.RData&quot;)
 load(&quot;../_derived/TNRS_submit/tnrs.iter4.RData&quot;)
 
 #Double check of wrong taxa from TNRS
-finalcheck &lt;- c(&quot;Salix repens subsp. repens var. repens&quot;,&quot;Hieracium lachenalii&quot;)
+finalcheck &lt;- c(&quot;Salix repens subsp. repens var. repens&quot;,&quot;Hieracium lachenalii&quot;, &quot;Lamprothamnium papulosum&quot;)
 tpl.ncbi.certain &lt;- tpl.ncbi.certain %&gt;% 
   bind_rows(TPL(finalcheck))</code></pre>
 <p>Combine the <code>certain</code> data sets:</p>
@@ -1675,6 +1945,8 @@ tpl.ncbi.certain &lt;- tpl.ncbi.certain %&gt;%
   dplyr::select(Name_sPlot_TRY, Name_string_corr1, Name_string_corr2, Source, Name_submitted) %&gt;%
   rename(sPlot_TRY=Source) %&gt;%
   left_join(tnrs.res.certain %&gt;%
+              #filter out wrongly matches species 
+              filter(!Name_submitted %in% finalcheck) %&gt;% 
               #filter(!is.na(Accepted_name)) %&gt;% 
               bind_rows(tnrs.res.iter2.certain) %&gt;%
               bind_rows(tnrs.ncbi.certain) %&gt;%
@@ -1740,12 +2012,12 @@ nrow(Backbone) == nrow(spec.list.TRY.sPlot)</code></pre>
 
 summary(Backbone$Status_correct)</code></pre>
 <pre><code>##                   Accepted                    Synonym 
-##                     284561                      28617 
+##                     284559                      28617 
 ##                      Other No suitable matches found. 
-##                      30085                       3175</code></pre>
+##                      30085                       3177</code></pre>
 <pre class="r"><code>summary(Backbone$Rank_correct)</code></pre>
 <pre><code>##       higher       family        genus      species   subspecies      variety 
-##         6390         1889        27104       294425         8948         7443 
+##         6392         1889        27102       294425         8948         7443 
 ## infraspecies         race        forma 
 ##           92            0          147</code></pre>
 <p>There are 3070 species names for which we found no match in any of the taxonomic resources we used. Yet, for as many as 35383 taxa, the matching did not properly resolve the species name, and we only found a match at genus or higher level.</p>
@@ -1754,7 +2026,7 @@ summary(Backbone$Status_correct)</code></pre>
 <h2><span class="header-section-number">3.3</span> Complete list of families</h2>
 <p>There are 35195 records with missing family information. Create field <code>Family_correct</code>.</p>
 <pre class="r"><code>Backbone &lt;- Backbone %&gt;% 
-  mutate(family.lev=str_extract(word(Name_correct,1), pattern='([^\\s]+aceae)')) %&gt;%
+  mutate(family.lev=str_extract(word(Name_correct,1), pattern=&#39;([^\\s]+aceae)&#39;)) %&gt;%
   mutate(Family_correct=ifelse(!is.na(Accepted_name_family), 
                                      Accepted_name_family, 
                                      family.lev)) %&gt;% 
@@ -1787,7 +2059,7 @@ write_csv(Genera_submit, &quot;../_derived/TNRS_submit/Genera_submit.csv&quot;)<
 )
       
 tnrs.genera &lt;- read_delim(&quot;../_derived/TNRS_submit/tnrs_genera.txt&quot;, delim=&quot;\t&quot;,  
-         locale = locale(encoding = 'UTF-8'),quote=&quot;&quot;,col_type = import.profile)</code></pre>
+         locale = locale(encoding = &#39;UTF-8&#39;),quote=&quot;&quot;,col_type = import.profile)</code></pre>
 <p>Attach resolved families to backbone</p>
 <pre class="r"><code>Backbone &lt;- Backbone %&gt;% 
   left_join(tnrs.genera %&gt;%
@@ -1957,9 +2229,9 @@ sum(is.na(Backbone$Family_correct))</code></pre>
   arrange(desc(n)) %&gt;% 
   slice(1) %&gt;% 
   ungroup() %&gt;% 
-  dplyr::select(-n)
-
-# Assign family derived from backbone to other records
+  dplyr::select(-n)</code></pre>
+<pre><code>## `summarise()` regrouping output by &#39;Genus_correct&#39; (override with `.groups` argument)</code></pre>
+<pre class="r"><code># Assign family derived from backbone to other records
 Backbone &lt;- Backbone %&gt;% 
   left_join(genera_families, by=&quot;Genus_correct&quot;) %&gt;% 
   mutate(Family_correct=ifelse( (is.na(Family_correct) &amp; !is.na(family)),
@@ -2047,11 +2319,11 @@ Assign all families that belong to <code>Tracheophyta</code> to category <code>i
 table(Backbone$`Taxon group`, exclude=NULL)</code></pre>
 <pre><code>## 
 ##           Alga         Lichen           Moss        Unknown Vascular plant 
-##            211           4470           2961           6802         331948</code></pre>
+##            211           4470           2961           6804         331946</code></pre>
 <pre class="r"><code>table(Backbone$is_vascular_species, exclude=NULL)</code></pre>
 <pre><code>## 
 ##  FALSE   TRUE   &lt;NA&gt; 
-##   8819 331948   5625</code></pre>
+##   8819 331946   5627</code></pre>
 </div>
 <div id="export-backbone" class="section level2">
 <h2><span class="header-section-number">3.6</span> Export Backbone</h2>
@@ -2213,10 +2485,10 @@ Taxon group
 <tbody>
 <tr>
 <td style="text-align:left;">
-Nuphar variegata
+Antidesma orthogyne
 </td>
 <td style="text-align:left;">
-Nuphar variegata
+Antidesma orthogyne
 </td>
 <td style="text-align:left;">
 NA
@@ -2225,16 +2497,16 @@ NA
 T
 </td>
 <td style="text-align:left;">
-Nuphar variegata
+Antidesma orthogyne
 </td>
 <td style="text-align:right;">
-212752
+21638
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Nuphar variegata
+Antidesma orthogyne
 </td>
 <td style="text-align:left;">
 species
@@ -2243,10 +2515,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-Durand
+(Hook.f.) Airy Shaw
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/tro-22600101;http://www.tropicos.org/Name/22600101" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-22600101;http://www.tropicos.org/Name/22600101</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-12209" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-12209</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -2261,16 +2533,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Nymphaeaceae
+Phyllanthaceae
 </td>
 <td style="text-align:left;">
-Nuphar
+Antidesma
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-variegata
+orthogyne
 </td>
 <td style="text-align:right;">
 1
@@ -2303,28 +2575,28 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Nuphar variegata
+Antidesma orthogyne
 </td>
 <td style="text-align:left;">
-Durand
+(Hook.f.) Airy Shaw
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/tro-22600101;http://www.tropicos.org/Name/22600101" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-22600101;http://www.tropicos.org/Name/22600101</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-12209" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-12209</a>
 </td>
 <td style="text-align:left;">
-Nuphar variegata
+Antidesma orthogyne
 </td>
 <td style="text-align:left;">
-Nymphaeaceae
+Phyllanthaceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl;tropicos
+tpl
 </td>
 <td style="text-align:left;">
 NA
@@ -2336,19 +2608,19 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Nuphar variegata
+Antidesma orthogyne
 </td>
 <td style="text-align:left;">
-Nuphar
+Antidesma
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Nymphaeaceae
+Phyllanthaceae
 </td>
 <td style="text-align:left;">
-Nuphar variegata
+Antidesma orthogyne
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -2362,10 +2634,10 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Euphorbia bougheyi
+Croton cupreatus
 </td>
 <td style="text-align:left;">
-Euphorbia bougheyi
+Croton cupreatus
 </td>
 <td style="text-align:left;">
 NA
@@ -2374,16 +2646,16 @@ NA
 T
 </td>
 <td style="text-align:left;">
-Euphorbia bougheyi
+Croton cupreatus
 </td>
 <td style="text-align:right;">
-124646
+85161
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Euphorbia bougheyi
+Croton cupreatus
 </td>
 <td style="text-align:left;">
 species
@@ -2392,10 +2664,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-L.C.Leach
+Croizat
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-78692" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-78692</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-49729" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-49729</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -2413,13 +2685,13 @@ NA
 Euphorbiaceae
 </td>
 <td style="text-align:left;">
-Euphorbia
+Croton
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-bougheyi
+cupreatus
 </td>
 <td style="text-align:right;">
 1
@@ -2452,19 +2724,19 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Euphorbia bougheyi
+Croton cupreatus
 </td>
 <td style="text-align:left;">
-L.C.Leach
+Croizat
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-78692" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-78692</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-49729" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-49729</a>
 </td>
 <td style="text-align:left;">
-Euphorbia bougheyi
+Croton cupreatus
 </td>
 <td style="text-align:left;">
 Euphorbiaceae
@@ -2485,10 +2757,10 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Euphorbia bougheyi
+Croton cupreatus
 </td>
 <td style="text-align:left;">
-Euphorbia
+Croton
 </td>
 <td style="text-align:left;">
 species
@@ -2497,7 +2769,7 @@ species
 Euphorbiaceae
 </td>
 <td style="text-align:left;">
-Euphorbia bougheyi
+Croton cupreatus
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -2511,28 +2783,28 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Astragalus squalidus
+Cullumia selago
 </td>
 <td style="text-align:left;">
-Astragalus squalidus
+Cullumia selago
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-S
+T
 </td>
 <td style="text-align:left;">
-Astragalus squalidus
+Cullumia selago
 </td>
 <td style="text-align:right;">
-32307
+87616
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Astragalus squalidus
+Cullumia selago
 </td>
 <td style="text-align:left;">
 species
@@ -2541,10 +2813,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-Boiss.
+Roessler
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/tro-13026903;http://www.tropicos.org/Name/13026903" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-13026903;http://www.tropicos.org/Name/13026903</a>
+<a href="http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=206FD9BD-5196-4E13-96F0-4E30730B22E7;http://www.tropicos.org/Name/2722363" class="uri">http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=206FD9BD-5196-4E13-96F0-4E30730B22E7;http://www.tropicos.org/Name/2722363</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -2559,16 +2831,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Fabaceae
+Asteraceae
 </td>
 <td style="text-align:left;">
-Astragalus
+Cullumia
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-squalidus
+selago
 </td>
 <td style="text-align:right;">
 1
@@ -2598,55 +2870,55 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Synonym
+Accepted
 </td>
 <td style="text-align:left;">
-Astragalus amoenus subsp. squalidus
+Cullumia selago
 </td>
 <td style="text-align:left;">
-(Boiss.) Ponert
+Roessler
 </td>
 <td style="text-align:left;">
-subspecies
+species
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/tro-13074560;http://www.tropicos.org/Name/13074560" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-13074560;http://www.tropicos.org/Name/13074560</a>
+<a href="http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=206FD9BD-5196-4E13-96F0-4E30730B22E7;http://www.tropicos.org/Name/2722363" class="uri">http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=206FD9BD-5196-4E13-96F0-4E30730B22E7;http://www.tropicos.org/Name/2722363</a>
 </td>
 <td style="text-align:left;">
-Astragalus amoenus
+Cullumia selago
 </td>
 <td style="text-align:left;">
-Fabaceae
+Asteraceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl;tropicos
+gcc;tropicos
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-NA
+<a href="urn:lsid:compositae.org:names:206FD9BD-5196-4E13-96F0-4E30730B22E7" class="uri">urn:lsid:compositae.org:names:206FD9BD-5196-4E13-96F0-4E30730B22E7</a>
 </td>
 <td style="text-align:left;">
-Synonym
+Accepted
 </td>
 <td style="text-align:left;">
-Astragalus amoenus subsp. squalidus
+Cullumia selago
 </td>
 <td style="text-align:left;">
-Astragalus
+Cullumia
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Leguminosae
+Compositae
 </td>
 <td style="text-align:left;">
-Astragalus amoenus
+Cullumia selago
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -2660,10 +2932,10 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Cryptantha johnstonii
+Stenocereus queretaroensis
 </td>
 <td style="text-align:left;">
-Cryptantha johnstonii
+Stenocereus queretaroensis
 </td>
 <td style="text-align:left;">
 NA
@@ -2672,16 +2944,16 @@ NA
 T
 </td>
 <td style="text-align:left;">
-Cryptantha johnstonii
+Stenocereus queretaroensis
 </td>
 <td style="text-align:right;">
-86515
+297772
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Cryptantha johnstonii
+Stenocereus queretaroensis
 </td>
 <td style="text-align:left;">
 species
@@ -2690,10 +2962,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-L.C.Higgins
+(F.A.C.Weber ex Mathes.) Buxb.
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-2745602" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2745602</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2486758" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2486758</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -2708,16 +2980,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Boraginaceae
+Cactaceae
 </td>
 <td style="text-align:left;">
-Cryptantha
+Stenocereus
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-johnstonii
+queretaroensis
 </td>
 <td style="text-align:right;">
 1
@@ -2750,22 +3022,22 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Cryptantha johnstonii
+Stenocereus queretaroensis
 </td>
 <td style="text-align:left;">
-L.C.Higgins
+(F.A.C.Weber ex Mathes.) Buxb.
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-2745602" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2745602</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2486758" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2486758</a>
 </td>
 <td style="text-align:left;">
-Cryptantha johnstonii
+Stenocereus queretaroensis
 </td>
 <td style="text-align:left;">
-Boraginaceae
+Cactaceae
 </td>
 <td style="text-align:left;">
 TRUE
@@ -2783,19 +3055,19 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Cryptantha johnstonii
+Stenocereus queretaroensis
 </td>
 <td style="text-align:left;">
-Cryptantha
+Stenocereus
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Boraginaceae
+Cactaceae
 </td>
 <td style="text-align:left;">
-Cryptantha johnstonii
+Stenocereus queretaroensis
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -2809,28 +3081,28 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Eugenia feijoi
+Bidens ghedoensis
 </td>
 <td style="text-align:left;">
-Eugenia feijoi
+Bidens ghedoensis
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-ST
+T
 </td>
 <td style="text-align:left;">
-Eugenia feijoi
+Bidens ghedoensis
 </td>
 <td style="text-align:right;">
-122930
+41540
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Eugenia feijoi
+Bidens ghedoensis
 </td>
 <td style="text-align:left;">
 species
@@ -2839,10 +3111,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-O.Berg
+Mesfin
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-75185" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-75185</a>
+<a href="http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=92C4E45F-9192-47B9-87E8-A2D0D7B831F5" class="uri">http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=92C4E45F-9192-47B9-87E8-A2D0D7B831F5</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -2857,16 +3129,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Myrtaceae
+Asteraceae
 </td>
 <td style="text-align:left;">
-Eugenia
+Bidens
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-feijoi
+ghedoensis
 </td>
 <td style="text-align:right;">
 1
@@ -2896,55 +3168,55 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Synonym
+Accepted
 </td>
 <td style="text-align:left;">
-Eugenia moschata
+Bidens ghedoensis
 </td>
 <td style="text-align:left;">
-(Aubl.) Nied. ex T.Durand &amp; B.D.Jacks.
+Mesfin
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-76030" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-76030</a>
+<a href="http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=92C4E45F-9192-47B9-87E8-A2D0D7B831F5" class="uri">http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=92C4E45F-9192-47B9-87E8-A2D0D7B831F5</a>
 </td>
 <td style="text-align:left;">
-Eugenia moschata
+Bidens ghedoensis
 </td>
 <td style="text-align:left;">
-Myrtaceae
+Asteraceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl
+gcc
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-NA
+<a href="urn:lsid:compositae.org:names:92C4E45F-9192-47B9-87E8-A2D0D7B831F5" class="uri">urn:lsid:compositae.org:names:92C4E45F-9192-47B9-87E8-A2D0D7B831F5</a>
 </td>
 <td style="text-align:left;">
-Synonym
+Accepted
 </td>
 <td style="text-align:left;">
-Eugenia moschata
+Bidens ghedoensis
 </td>
 <td style="text-align:left;">
-Eugenia
+Bidens
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Myrtaceae
+Compositae
 </td>
 <td style="text-align:left;">
-Eugenia moschata
+Bidens ghedoensis
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -2958,10 +3230,10 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Racosperma forrestianum
+Fimbristylis ratnagirica
 </td>
 <td style="text-align:left;">
-Racosperma forrestianum
+Fimbristylis ratnagirica
 </td>
 <td style="text-align:left;">
 NA
@@ -2970,16 +3242,16 @@ NA
 T
 </td>
 <td style="text-align:left;">
-Racosperma forrestianum
+Fimbristylis ratnagirica
 </td>
 <td style="text-align:right;">
-261472
+131775
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Racosperma forrestianum
+Fimbristylis ratnagirica
 </td>
 <td style="text-align:left;">
 species
@@ -2988,10 +3260,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-(Pritz.) Pedley
+V.P.Prasad &amp; N.P.Singh
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/tro-50247318;http://www.tropicos.org/Name/50247318" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-50247318;http://www.tropicos.org/Name/50247318</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-245872" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-245872</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -3006,16 +3278,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Fabaceae
+Cyperaceae
 </td>
 <td style="text-align:left;">
-Racosperma
+Fimbristylis
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-forrestianum
+ratnagirica
 </td>
 <td style="text-align:right;">
 1
@@ -3048,28 +3320,28 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Racosperma forrestianum
+Fimbristylis ratnagirica
 </td>
 <td style="text-align:left;">
-(Pritz.) Pedley
+V.P.Prasad &amp; N.P.Singh
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/tro-50247318;http://www.tropicos.org/Name/50247318" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-50247318;http://www.tropicos.org/Name/50247318</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-245872" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-245872</a>
 </td>
 <td style="text-align:left;">
-Racosperma forrestianum
+Fimbristylis ratnagirica
 </td>
 <td style="text-align:left;">
-Fabaceae
+Cyperaceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl;tropicos
+tpl
 </td>
 <td style="text-align:left;">
 NA
@@ -3081,19 +3353,19 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Racosperma forrestianum
+Fimbristylis ratnagirica
 </td>
 <td style="text-align:left;">
-Racosperma
+Fimbristylis
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Leguminosae
+Cyperaceae
 </td>
 <td style="text-align:left;">
-Racosperma forrestianum
+Fimbristylis ratnagirica
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -3107,28 +3379,28 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Sebastiania klotzschiana
+Solanum tapojense
 </td>
 <td style="text-align:left;">
-Sebastiania klotzschiana
+Solanum tapojense
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-ST
+T
 </td>
 <td style="text-align:left;">
-Sebastiania klotzschiana
+Solanum tapojense
 </td>
 <td style="text-align:right;">
-282511
+292134
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Sebastiania klotzschiana
+Solanum tapojense
 </td>
 <td style="text-align:left;">
 species
@@ -3137,10 +3409,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-Müll.Arg.
+Ochoa
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-190173" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-190173</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/tro-29605478;http://www.tropicos.org/Name/29605478" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-29605478;http://www.tropicos.org/Name/29605478</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -3155,16 +3427,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Euphorbiaceae
+Solanaceae
 </td>
 <td style="text-align:left;">
-Sebastiania
+Solanum
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-klotzschiana
+tapojense
 </td>
 <td style="text-align:right;">
 1
@@ -3194,31 +3466,31 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Synonym
+Accepted
 </td>
 <td style="text-align:left;">
-Sebastiania commersoniana
+Solanum tapojense
 </td>
 <td style="text-align:left;">
-(Baill.) L.B.Sm. &amp; Downs
+Ochoa
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-189993" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-189993</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/tro-29605478;http://www.tropicos.org/Name/29605478" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-29605478;http://www.tropicos.org/Name/29605478</a>
 </td>
 <td style="text-align:left;">
-Sebastiania commersoniana
+Solanum tapojense
 </td>
 <td style="text-align:left;">
-Euphorbiaceae
+Solanaceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl
+tpl;tropicos
 </td>
 <td style="text-align:left;">
 NA
@@ -3227,22 +3499,22 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Synonym
+Accepted
 </td>
 <td style="text-align:left;">
-Sebastiania commersoniana
+Solanum tapojense
 </td>
 <td style="text-align:left;">
-Sebastiania
+Solanum
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Euphorbiaceae
+Solanaceae
 </td>
 <td style="text-align:left;">
-Sebastiania commersoniana
+Solanum tapojense
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -3256,10 +3528,10 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Symplocos pedicellata
+Baccharoides tenoreana
 </td>
 <td style="text-align:left;">
-Symplocos pedicellata
+Baccharoides tenoreana
 </td>
 <td style="text-align:left;">
 NA
@@ -3268,16 +3540,16 @@ NA
 T
 </td>
 <td style="text-align:left;">
-Symplocos pedicellata
+Baccharoides tenoreana
 </td>
 <td style="text-align:right;">
-302945
+35312
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Symplocos pedicellata
+Baccharoides tenoreana
 </td>
 <td style="text-align:left;">
 species
@@ -3286,10 +3558,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-Kurz
+(Oliv.) Isawumi
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-2578473" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2578473</a>
+<a href="http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=E41A5830-E56B-480C-AA80-C91E3478FDA5" class="uri">http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=E41A5830-E56B-480C-AA80-C91E3478FDA5</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -3304,16 +3576,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Symplocaceae
+Asteraceae
 </td>
 <td style="text-align:left;">
-Symplocos
+Baccharoides
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-pedicellata
+tenoreana
 </td>
 <td style="text-align:right;">
 1
@@ -3343,55 +3615,55 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-No opinion
+Accepted
 </td>
 <td style="text-align:left;">
-NA
+Baccharoides tenoreana
 </td>
 <td style="text-align:left;">
-NA
+(Oliv.) Isawumi
 </td>
 <td style="text-align:left;">
-NA
+species
 </td>
 <td style="text-align:left;">
-NA
+<a href="http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=E41A5830-E56B-480C-AA80-C91E3478FDA5" class="uri">http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=E41A5830-E56B-480C-AA80-C91E3478FDA5</a>
 </td>
 <td style="text-align:left;">
-NA
+Baccharoides tenoreana
 </td>
 <td style="text-align:left;">
-NA
+Asteraceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl
+gcc
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-NA
+<a href="urn:lsid:compositae.org:names:E41A5830-E56B-480C-AA80-C91E3478FDA5" class="uri">urn:lsid:compositae.org:names:E41A5830-E56B-480C-AA80-C91E3478FDA5</a>
 </td>
 <td style="text-align:left;">
-Other
+Accepted
 </td>
 <td style="text-align:left;">
-Symplocos pedicellata
+Baccharoides tenoreana
 </td>
 <td style="text-align:left;">
-Symplocos
+Baccharoides
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Symplocaceae
+Compositae
 </td>
 <td style="text-align:left;">
-Symplocos pedicellata
+Baccharoides tenoreana
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -3405,10 +3677,10 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Mocquerysia distans
+Avicennia balanophora
 </td>
 <td style="text-align:left;">
-Mocquerysia distans
+Avicennia balanophora
 </td>
 <td style="text-align:left;">
 NA
@@ -3417,28 +3689,28 @@ NA
 T
 </td>
 <td style="text-align:left;">
-Mocquerysia distans
+Avicennia balanophora
 </td>
 <td style="text-align:right;">
-203260
+34314
 </td>
 <td style="text-align:right;">
-0.5
+1.0
 </td>
 <td style="text-align:left;">
-Mocquerysia
+Avicennia balanophora
 </td>
 <td style="text-align:left;">
-genus
+species
 </td>
 <td style="text-align:right;">
-0.5
+1.0
 </td>
 <td style="text-align:left;">
-NA
+Stapf &amp; Moldenke
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/search?q=Mocquerysia" class="uri">http://www.theplantlist.org/tpl1.1/search?q=Mocquerysia</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-18436" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-18436</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -3453,19 +3725,19 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Salicaceae
+Acanthaceae
 </td>
 <td style="text-align:left;">
-Mocquerysia
+Avicennia
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-NA
+balanophora
 </td>
 <td style="text-align:right;">
-NA
+1
 </td>
 <td style="text-align:left;">
 NA
@@ -3489,28 +3761,28 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-distans
+NA
 </td>
 <td style="text-align:left;">
 Accepted
 </td>
 <td style="text-align:left;">
-Mocquerysia
+Avicennia balanophora
 </td>
 <td style="text-align:left;">
-NA
+Stapf &amp; Moldenke
 </td>
 <td style="text-align:left;">
-genus
+species
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/search?q=Mocquerysia" class="uri">http://www.theplantlist.org/tpl1.1/search?q=Mocquerysia</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-18436" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-18436</a>
 </td>
 <td style="text-align:left;">
-NA
+Avicennia balanophora
 </td>
 <td style="text-align:left;">
-Salicaceae
+Acanthaceae
 </td>
 <td style="text-align:left;">
 TRUE
@@ -3519,7 +3791,7 @@ TRUE
 tpl
 </td>
 <td style="text-align:left;">
-[Partial match]
+NA
 </td>
 <td style="text-align:left;">
 NA
@@ -3528,19 +3800,19 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Mocquerysia
+Avicennia balanophora
 </td>
 <td style="text-align:left;">
-Mocquerysia
+Avicennia
 </td>
 <td style="text-align:left;">
-genus
+species
 </td>
 <td style="text-align:left;">
-Salicaceae
+Acanthaceae
 </td>
 <td style="text-align:left;">
-Mocquerysia
+Avicennia balanophora
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -3554,10 +3826,10 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Litsea alba
+Discocalyx pachyphylla
 </td>
 <td style="text-align:left;">
-Litsea alba
+Discocalyx pachyphylla
 </td>
 <td style="text-align:left;">
 NA
@@ -3566,16 +3838,16 @@ NA
 T
 </td>
 <td style="text-align:left;">
-Litsea alba
+Discocalyx pachyphylla
 </td>
 <td style="text-align:right;">
-183072
+103267
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Litsea alba
+Discocalyx pachyphylla
 </td>
 <td style="text-align:left;">
 species
@@ -3584,10 +3856,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-Kosterm.
+Merr.
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-2351565;http://www.tropicos.org/Name/17803701" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2351565;http://www.tropicos.org/Name/17803701</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2772907" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2772907</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -3602,16 +3874,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Lauraceae
+Primulaceae
 </td>
 <td style="text-align:left;">
-Litsea
+Discocalyx
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-alba
+pachyphylla
 </td>
 <td style="text-align:right;">
 1
@@ -3641,31 +3913,31 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-No opinion
+Accepted
 </td>
 <td style="text-align:left;">
-NA
+Discocalyx pachyphylla
 </td>
 <td style="text-align:left;">
-NA
+Merr.
 </td>
 <td style="text-align:left;">
-NA
+species
 </td>
 <td style="text-align:left;">
-;
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2772907" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2772907</a>
 </td>
 <td style="text-align:left;">
-NA
+Discocalyx pachyphylla
 </td>
 <td style="text-align:left;">
-NA
+Primulaceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl;tropicos
+tpl
 </td>
 <td style="text-align:left;">
 NA
@@ -3674,22 +3946,22 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Other
+Accepted
 </td>
 <td style="text-align:left;">
-Litsea alba
+Discocalyx pachyphylla
 </td>
 <td style="text-align:left;">
-Litsea
+Discocalyx
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Lauraceae
+Primulaceae
 </td>
 <td style="text-align:left;">
-Litsea alba
+Discocalyx pachyphylla
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -3703,40 +3975,40 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Agonandra peruviana
+Neea popular
 </td>
 <td style="text-align:left;">
-Agonandra peruviana
+Neea popular
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-ST
+T
 </td>
 <td style="text-align:left;">
-Agonandra peruviana
+Neea popular
 </td>
 <td style="text-align:right;">
-9034
+209266
 </td>
 <td style="text-align:right;">
-1.0
+0.5
 </td>
 <td style="text-align:left;">
-Agonandra peruviana
+Neea
 </td>
 <td style="text-align:left;">
-species
+genus
 </td>
 <td style="text-align:right;">
-1.0
+0.5
 </td>
 <td style="text-align:left;">
-Hiepko
+NA
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-2626673;http://www.tropicos.org/Name/50065155" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2626673;http://www.tropicos.org/Name/50065155</a>
+<a href="http://www.theplantlist.org/tpl1.1/search?q=Neea" class="uri">http://www.theplantlist.org/tpl1.1/search?q=Neea</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -3751,19 +4023,19 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Opiliaceae
+Nyctaginaceae
 </td>
 <td style="text-align:left;">
-Agonandra
+Neea
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-peruviana
+NA
 </td>
 <td style="text-align:right;">
-1
+NA
 </td>
 <td style="text-align:left;">
 NA
@@ -3787,37 +4059,37 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-NA
+popular
 </td>
 <td style="text-align:left;">
 Accepted
 </td>
 <td style="text-align:left;">
-Agonandra peruviana
+Neea
 </td>
 <td style="text-align:left;">
-Hiepko
+NA
 </td>
 <td style="text-align:left;">
-species
+genus
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-2626673;http://www.tropicos.org/Name/50065155" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2626673;http://www.tropicos.org/Name/50065155</a>
+<a href="http://www.theplantlist.org/tpl1.1/search?q=Neea" class="uri">http://www.theplantlist.org/tpl1.1/search?q=Neea</a>
 </td>
 <td style="text-align:left;">
-Agonandra peruviana
+NA
 </td>
 <td style="text-align:left;">
-Opiliaceae
+Nyctaginaceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl;tropicos
+tpl
 </td>
 <td style="text-align:left;">
-NA
+[Partial match]
 </td>
 <td style="text-align:left;">
 NA
@@ -3826,19 +4098,19 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Agonandra peruviana
+Neea
 </td>
 <td style="text-align:left;">
-Agonandra
+Neea
 </td>
 <td style="text-align:left;">
-species
+genus
 </td>
 <td style="text-align:left;">
-Opiliaceae
+Nyctaginaceae
 </td>
 <td style="text-align:left;">
-Agonandra peruviana
+Neea
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -3852,40 +4124,40 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Isoetes gymnocarpa
+Eupatorium subhastatum
 </td>
 <td style="text-align:left;">
-Isoetes gymnocarpa
+Eupatorium subhastatum
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-ST
+S
 </td>
 <td style="text-align:left;">
-Isoetes gymnocarpa
+Eupatorium subhastatum
 </td>
 <td style="text-align:right;">
-165656
+124382
 </td>
 <td style="text-align:right;">
-0.5
+1.0
 </td>
 <td style="text-align:left;">
-Isoetes
+Eupatorium subhastatum
 </td>
 <td style="text-align:left;">
-genus
+species
 </td>
 <td style="text-align:right;">
-0.5
+1.0
 </td>
 <td style="text-align:left;">
-NA
+Hook. &amp; Arn.
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/search?q=Isoetes;http://plants.usda.gov/java/profile?symbol=ISOET" class="uri">http://www.theplantlist.org/tpl1.1/search?q=Isoetes;http://plants.usda.gov/java/profile?symbol=ISOET</a>
+<a href="http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=5B4A0E16-77C5-4782-B008-3D89D62157B5" class="uri">http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=5B4A0E16-77C5-4782-B008-3D89D62157B5</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -3900,19 +4172,19 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Isoetaceae
+Asteraceae
 </td>
 <td style="text-align:left;">
-Isoetes
+Eupatorium
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-NA
+subhastatum
 </td>
 <td style="text-align:right;">
-NA
+1
 </td>
 <td style="text-align:left;">
 NA
@@ -3936,58 +4208,58 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-gymnocarpa
+NA
 </td>
 <td style="text-align:left;">
-Accepted
+Synonym
 </td>
 <td style="text-align:left;">
-Isoetes
+Badilloa steetzii
 </td>
 <td style="text-align:left;">
-NA
+(B.L.Rob.) R.M.King &amp; H.Rob.
 </td>
 <td style="text-align:left;">
-genus
+species
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/search?q=Isoetes;http://plants.usda.gov/java/profile?symbol=ISOET" class="uri">http://www.theplantlist.org/tpl1.1/search?q=Isoetes;http://plants.usda.gov/java/profile?symbol=ISOET</a>
+<a href="http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=7EF48DA1-8F27-4E4B-83F0-5C0E17E96EFB" class="uri">http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=7EF48DA1-8F27-4E4B-83F0-5C0E17E96EFB</a>
 </td>
 <td style="text-align:left;">
-NA
+Badilloa steetzii
 </td>
 <td style="text-align:left;">
-Isoetaceae
+Asteraceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl;usda
+gcc
 </td>
 <td style="text-align:left;">
-[Partial match]
+NA
 </td>
 <td style="text-align:left;">
-NA
+<a href="urn:lsid:compositae.org:names:7EF48DA1-8F27-4E4B-83F0-5C0E17E96EFB" class="uri">urn:lsid:compositae.org:names:7EF48DA1-8F27-4E4B-83F0-5C0E17E96EFB</a>
 </td>
 <td style="text-align:left;">
-Accepted
+Synonym
 </td>
 <td style="text-align:left;">
-Isoetes
+Badilloa steetzii
 </td>
 <td style="text-align:left;">
-Isoetes
+Badilloa
 </td>
 <td style="text-align:left;">
-genus
+species
 </td>
 <td style="text-align:left;">
-Isoetaceae
+Compositae
 </td>
 <td style="text-align:left;">
-Isoetes
+Badilloa steetzii
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -4001,10 +4273,10 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Uvaria muricata
+Polygala gracilipes
 </td>
 <td style="text-align:left;">
-Uvaria muricata
+Polygala gracilipes
 </td>
 <td style="text-align:left;">
 NA
@@ -4013,16 +4285,16 @@ NA
 T
 </td>
 <td style="text-align:left;">
-Uvaria muricata
+Polygala gracilipes
 </td>
 <td style="text-align:right;">
-321204
+247694
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Uvaria muricata
+Polygala gracilipes
 </td>
 <td style="text-align:left;">
 species
@@ -4031,10 +4303,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-Pierre ex Engl. &amp; Diels
+Harv.
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-2448270;http://www.tropicos.org/Name/1601230" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2448270;http://www.tropicos.org/Name/1601230</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/tro-25900620;http://www.tropicos.org/Name/25900620" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-25900620;http://www.tropicos.org/Name/25900620</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -4049,16 +4321,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Annonaceae
+Polygalaceae
 </td>
 <td style="text-align:left;">
-Uvaria
+Polygala
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-muricata
+gracilipes
 </td>
 <td style="text-align:right;">
 1
@@ -4091,22 +4363,22 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Uvaria muricata
+Polygala gracilipes
 </td>
 <td style="text-align:left;">
-Pierre ex Engl. &amp; Diels
+Harv.
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-2448270;http://www.tropicos.org/Name/1601230" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2448270;http://www.tropicos.org/Name/1601230</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/tro-25900620;http://www.tropicos.org/Name/25900620" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-25900620;http://www.tropicos.org/Name/25900620</a>
 </td>
 <td style="text-align:left;">
-Uvaria muricata
+Polygala gracilipes
 </td>
 <td style="text-align:left;">
-Annonaceae
+Polygalaceae
 </td>
 <td style="text-align:left;">
 TRUE
@@ -4124,19 +4396,19 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Uvaria muricata
+Polygala gracilipes
 </td>
 <td style="text-align:left;">
-Uvaria
+Polygala
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Annonaceae
+Polygalaceae
 </td>
 <td style="text-align:left;">
-Uvaria muricata
+Polygala gracilipes
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -4150,28 +4422,28 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Pittosporum glabrum
+Sobralia ecuadorana
 </td>
 <td style="text-align:left;">
-Pittosporum glabrum
+Sobralia ecuadorana
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-ST
+T
 </td>
 <td style="text-align:left;">
-Pittosporum glabrum
+Sobralia ecuadorana
 </td>
 <td style="text-align:right;">
-242395
+290653
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Pittosporum glabrum
+Sobralia ecuadorana
 </td>
 <td style="text-align:left;">
 species
@@ -4180,10 +4452,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-Hook. &amp; Arn.
+Dodson
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/tro-25100060;http://www.tropicos.org/Name/25100060;http://plants.usda.gov/java/profile?symbol=PIGL4" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-25100060;http://www.tropicos.org/Name/25100060;http://plants.usda.gov/java/profile?symbol=PIGL4</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-192650;http://www.tropicos.org/Name/50119531" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-192650;http://www.tropicos.org/Name/50119531</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -4198,16 +4470,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Pittosporaceae
+Orchidaceae
 </td>
 <td style="text-align:left;">
-Pittosporum
+Sobralia
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-glabrum
+ecuadorana
 </td>
 <td style="text-align:right;">
 1
@@ -4240,28 +4512,28 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Pittosporum glabrum
+Sobralia ecuadorana
 </td>
 <td style="text-align:left;">
-Hook. &amp; Arn.
+Dodson
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/tro-25100060;http://www.tropicos.org/Name/25100060;http://plants.usda.gov/java/profile?symbol=PIGL4" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-25100060;http://www.tropicos.org/Name/25100060;http://plants.usda.gov/java/profile?symbol=PIGL4</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-192650;http://www.tropicos.org/Name/50119531" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-192650;http://www.tropicos.org/Name/50119531</a>
 </td>
 <td style="text-align:left;">
-Pittosporum glabrum
+Sobralia ecuadorana
 </td>
 <td style="text-align:left;">
-Pittosporaceae
+Orchidaceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl;tropicos;usda
+tpl;tropicos
 </td>
 <td style="text-align:left;">
 NA
@@ -4273,19 +4545,19 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Pittosporum glabrum
+Sobralia ecuadorana
 </td>
 <td style="text-align:left;">
-Pittosporum
+Sobralia
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Pittosporaceae
+Orchidaceae
 </td>
 <td style="text-align:left;">
-Pittosporum glabrum
+Sobralia ecuadorana
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -4299,10 +4571,10 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Festuca mathewsii
+Sphaeradenia lemaensis
 </td>
 <td style="text-align:left;">
-Festuca mathewsii
+Sphaeradenia lemaensis
 </td>
 <td style="text-align:left;">
 NA
@@ -4311,16 +4583,16 @@ NA
 T
 </td>
 <td style="text-align:left;">
-Festuca mathewsii
+Sphaeradenia lemaensis
 </td>
 <td style="text-align:right;">
-129846
+294392
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Festuca mathewsii
+Sphaeradenia lemaensis
 </td>
 <td style="text-align:left;">
 species
@@ -4329,10 +4601,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-NA
+Harling
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/search?q=Festuca+mathewsii" class="uri">http://www.theplantlist.org/tpl1.1/search?q=Festuca+mathewsii</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-287652;http://www.tropicos.org/Name/9700331" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-287652;http://www.tropicos.org/Name/9700331</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -4347,16 +4619,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Poaceae
+Cyclanthaceae
 </td>
 <td style="text-align:left;">
-Festuca
+Sphaeradenia
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-mathewsii
+lemaensis
 </td>
 <td style="text-align:right;">
 1
@@ -4386,31 +4658,31 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-No opinion
+Accepted
 </td>
 <td style="text-align:left;">
-NA
+Sphaeradenia lemaensis
 </td>
 <td style="text-align:left;">
-NA
+Harling
 </td>
 <td style="text-align:left;">
-NA
+species
 </td>
 <td style="text-align:left;">
-NA
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-287652;http://www.tropicos.org/Name/9700331" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-287652;http://www.tropicos.org/Name/9700331</a>
 </td>
 <td style="text-align:left;">
-NA
+Sphaeradenia lemaensis
 </td>
 <td style="text-align:left;">
-NA
+Cyclanthaceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl
+tpl;tropicos
 </td>
 <td style="text-align:left;">
 NA
@@ -4419,22 +4691,22 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Other
+Accepted
 </td>
 <td style="text-align:left;">
-Festuca mathewsii
+Sphaeradenia lemaensis
 </td>
 <td style="text-align:left;">
-Festuca
+Sphaeradenia
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Poaceae
+Cyclanthaceae
 </td>
 <td style="text-align:left;">
-Festuca mathewsii
+Sphaeradenia lemaensis
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -4448,28 +4720,28 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Lambertia echinata
+Satyria bracteolosa
 </td>
 <td style="text-align:left;">
-Lambertia echinata
+Satyria bracteolosa
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-ST
+T
 </td>
 <td style="text-align:left;">
-Lambertia echinata
+Satyria bracteolosa
 </td>
 <td style="text-align:right;">
-172369
+276746
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Lambertia echinata
+Satyria bracteolosa
 </td>
 <td style="text-align:left;">
 species
@@ -4478,10 +4750,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-R.Br.
+A.C. Sm.
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-2492037" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2492037</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/tro-50217845;http://www.tropicos.org/Name/50217845" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-50217845;http://www.tropicos.org/Name/50217845</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -4496,16 +4768,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Proteaceae
+Ericaceae
 </td>
 <td style="text-align:left;">
-Lambertia
+Satyria
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-echinata
+bracteolosa
 </td>
 <td style="text-align:right;">
 1
@@ -4535,31 +4807,31 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-No opinion
+Accepted
 </td>
 <td style="text-align:left;">
-NA
+Satyria bracteolosa
 </td>
 <td style="text-align:left;">
-NA
+A.C. Sm.
 </td>
 <td style="text-align:left;">
-NA
+species
 </td>
 <td style="text-align:left;">
-NA
+<a href="http://www.theplantlist.org/tpl1.1/record/tro-50217845;http://www.tropicos.org/Name/50217845" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-50217845;http://www.tropicos.org/Name/50217845</a>
 </td>
 <td style="text-align:left;">
-NA
+Satyria bracteolosa
 </td>
 <td style="text-align:left;">
-NA
+Ericaceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl
+tpl;tropicos
 </td>
 <td style="text-align:left;">
 NA
@@ -4568,22 +4840,22 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Other
+Accepted
 </td>
 <td style="text-align:left;">
-Lambertia echinata
+Satyria bracteolosa
 </td>
 <td style="text-align:left;">
-Lambertia
+Satyria
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Proteaceae
+Ericaceae
 </td>
 <td style="text-align:left;">
-Lambertia echinata
+Satyria bracteolosa
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -4597,10 +4869,10 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Chresta sphaerocephala
+Axinaea quitensis
 </td>
 <td style="text-align:left;">
-Chresta sphaerocephala
+Axinaea quitensis
 </td>
 <td style="text-align:left;">
 NA
@@ -4609,16 +4881,16 @@ NA
 T
 </td>
 <td style="text-align:left;">
-Chresta sphaerocephala
+Axinaea quitensis
 </td>
 <td style="text-align:right;">
-68751
+34361
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Chresta sphaerocephala
+Axinaea quitensis
 </td>
 <td style="text-align:left;">
 species
@@ -4627,10 +4899,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-<ol start="600" style="list-style-type: upper-roman">
-<li></td>
+Benoist
+</td>
 <td style="text-align:left;">
-<a href="http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=3BB8E819-6557-4EDE-82A5-A0CE373674D5;http://www.tropicos.org/Name/2738517" class="uri">http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=3BB8E819-6557-4EDE-82A5-A0CE373674D5;http://www.tropicos.org/Name/2738517</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/tro-20303909;http://www.tropicos.org/Name/20303909" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-20303909;http://www.tropicos.org/Name/20303909</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -4645,16 +4917,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Asteraceae
+Melastomataceae
 </td>
 <td style="text-align:left;">
-Chresta
+Axinaea
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-sphaerocephala
+quitensis
 </td>
 <td style="text-align:right;">
 1
@@ -4687,52 +4959,52 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Chresta sphaerocephala
+Axinaea quitensis
 </td>
 <td style="text-align:left;">
-<ol start="600" style="list-style-type: upper-roman">
-<li></td>
+Benoist
+</td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-<a href="http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=3BB8E819-6557-4EDE-82A5-A0CE373674D5;http://www.tropicos.org/Name/2738517" class="uri">http://dixon.iplantcollaborative.org/CompositaeWeb/default.aspx?Page=NameDetails&amp;TabNum=0&amp;NameId=3BB8E819-6557-4EDE-82A5-A0CE373674D5;http://www.tropicos.org/Name/2738517</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/tro-20303909;http://www.tropicos.org/Name/20303909" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-20303909;http://www.tropicos.org/Name/20303909</a>
 </td>
 <td style="text-align:left;">
-Chresta sphaerocephala
+Axinaea quitensis
 </td>
 <td style="text-align:left;">
-Asteraceae
+Melastomataceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-gcc;tropicos
+tpl;tropicos
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-<a href="urn:lsid:compositae.org:names:3BB8E819-6557-4EDE-82A5-A0CE373674D5" class="uri">urn:lsid:compositae.org:names:3BB8E819-6557-4EDE-82A5-A0CE373674D5</a>
+NA
 </td>
 <td style="text-align:left;">
 Accepted
 </td>
 <td style="text-align:left;">
-Chresta sphaerocephala
+Axinaea quitensis
 </td>
 <td style="text-align:left;">
-Chresta
+Axinaea
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Compositae
+Melastomataceae
 </td>
 <td style="text-align:left;">
-Chresta sphaerocephala
+Axinaea quitensis
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -4746,28 +5018,28 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Eleocharis carniolica
+Xanthosoma trilobum
 </td>
 <td style="text-align:left;">
-Eleocharis carniolica
+Xanthosoma trilobum
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-ST
+T
 </td>
 <td style="text-align:left;">
-Eleocharis carniolica
+Xanthosoma trilobum
 </td>
 <td style="text-align:right;">
-111109
+330208
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Eleocharis carniolica
+Xanthosoma trilobum
 </td>
 <td style="text-align:left;">
 species
@@ -4776,10 +5048,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-W.D.J.Koch
+G.S.Bunting
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-242386" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-242386</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-215156" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-215156</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -4794,16 +5066,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Cyperaceae
+Araceae
 </td>
 <td style="text-align:left;">
-Eleocharis
+Xanthosoma
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-carniolica
+trilobum
 </td>
 <td style="text-align:right;">
 1
@@ -4836,22 +5108,22 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Eleocharis carniolica
+Xanthosoma trilobum
 </td>
 <td style="text-align:left;">
-W.D.J.Koch
+G.S.Bunting
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-242386" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-242386</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-215156" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-215156</a>
 </td>
 <td style="text-align:left;">
-Eleocharis carniolica
+Xanthosoma trilobum
 </td>
 <td style="text-align:left;">
-Cyperaceae
+Araceae
 </td>
 <td style="text-align:left;">
 TRUE
@@ -4869,19 +5141,19 @@ NA
 Accepted
 </td>
 <td style="text-align:left;">
-Eleocharis carniolica
+Xanthosoma trilobum
 </td>
 <td style="text-align:left;">
-Eleocharis
+Xanthosoma
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Cyperaceae
+Araceae
 </td>
 <td style="text-align:left;">
-Eleocharis carniolica
+Xanthosoma trilobum
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -4895,28 +5167,28 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Lyonia squamulosa
+Epimedium trifoliatobinatum
 </td>
 <td style="text-align:left;">
-Lyonia squamulosa
+Epimedium trifoliatobinatum
 </td>
 <td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-ST
+S
 </td>
 <td style="text-align:left;">
-Lyonia squamulosa
+Epimedium trifoliatobinatum
 </td>
 <td style="text-align:right;">
-187845
+115095
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Lyonia squamulosa
+Epimedium trifoliatobinatum
 </td>
 <td style="text-align:left;">
 species
@@ -4925,10 +5197,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-M. Martens &amp; Galeotti
+Koidz.
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/tro-12303062;http://www.tropicos.org/Name/12303062" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-12303062;http://www.tropicos.org/Name/12303062</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/tro-3500297;http://www.tropicos.org/Name/3500297" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-3500297;http://www.tropicos.org/Name/3500297</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -4943,16 +5215,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Ericaceae
+Berberidaceae
 </td>
 <td style="text-align:left;">
-Lyonia
+Epimedium
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-squamulosa
+trifoliatobinatum
 </td>
 <td style="text-align:right;">
 1
@@ -4982,25 +5254,25 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Accepted
+No opinion
 </td>
 <td style="text-align:left;">
-Lyonia squamulosa
+NA
 </td>
 <td style="text-align:left;">
-M. Martens &amp; Galeotti
+NA
 </td>
 <td style="text-align:left;">
-species
+NA
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/tro-12303062;http://www.tropicos.org/Name/12303062" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-12303062;http://www.tropicos.org/Name/12303062</a>
+;
 </td>
 <td style="text-align:left;">
-Lyonia squamulosa
+NA
 </td>
 <td style="text-align:left;">
-Ericaceae
+NA
 </td>
 <td style="text-align:left;">
 TRUE
@@ -5015,22 +5287,22 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Accepted
+Other
 </td>
 <td style="text-align:left;">
-Lyonia squamulosa
+Epimedium trifoliatobinatum
 </td>
 <td style="text-align:left;">
-Lyonia
+Epimedium
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Ericaceae
+Berberidaceae
 </td>
 <td style="text-align:left;">
-Lyonia squamulosa
+Epimedium trifoliatobinatum
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -5044,10 +5316,10 @@ Vascular plant
 </tr>
 <tr>
 <td style="text-align:left;">
-Gerardia homalantha
+Lippia schlimii
 </td>
 <td style="text-align:left;">
-Gerardia homalantha
+Lippia schlimii
 </td>
 <td style="text-align:left;">
 NA
@@ -5056,16 +5328,16 @@ NA
 T
 </td>
 <td style="text-align:left;">
-Gerardia homalantha
+Lippia schlimii
 </td>
 <td style="text-align:right;">
-139112
+182386
 </td>
 <td style="text-align:right;">
 1.0
 </td>
 <td style="text-align:left;">
-Gerardia homalantha
+Lippia schlimii
 </td>
 <td style="text-align:left;">
 species
@@ -5074,10 +5346,10 @@ species
 1.0
 </td>
 <td style="text-align:left;">
-(Pennell) Pennell
+Turcz.
 </td>
 <td style="text-align:left;">
-<a href="http://www.theplantlist.org/tpl1.1/record/kew-2824401" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2824401</a>
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-113749;http://www.tropicos.org/Name/33702547" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-113749;http://www.tropicos.org/Name/33702547</a>
 </td>
 <td style="text-align:left;">
 NA
@@ -5092,16 +5364,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Orobanchaceae
+Verbenaceae
 </td>
 <td style="text-align:left;">
-Gerardia
+Lippia
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-homalantha
+schlimii
 </td>
 <td style="text-align:right;">
 1
@@ -5131,31 +5403,31 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-No opinion
+Accepted
 </td>
 <td style="text-align:left;">
-NA
+Lippia schlimii
 </td>
 <td style="text-align:left;">
-NA
+Turcz.
 </td>
 <td style="text-align:left;">
-NA
+species
 </td>
 <td style="text-align:left;">
-NA
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-113749;http://www.tropicos.org/Name/33702547" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-113749;http://www.tropicos.org/Name/33702547</a>
 </td>
 <td style="text-align:left;">
-NA
+Lippia schlimii
 </td>
 <td style="text-align:left;">
-NA
+Verbenaceae
 </td>
 <td style="text-align:left;">
 TRUE
 </td>
 <td style="text-align:left;">
-tpl
+tpl;tropicos
 </td>
 <td style="text-align:left;">
 NA
@@ -5164,22 +5436,22 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-Other
+Accepted
 </td>
 <td style="text-align:left;">
-Gerardia homalantha
+Lippia schlimii
 </td>
 <td style="text-align:left;">
-Gerardia
+Lippia
 </td>
 <td style="text-align:left;">
 species
 </td>
 <td style="text-align:left;">
-Orobanchaceae
+Verbenaceae
 </td>
 <td style="text-align:left;">
-Gerardia homalantha
+Lippia schlimii
 </td>
 <td style="text-align:left;">
 Tracheophyta
@@ -5193,8 +5465,9 @@ Vascular plant
 </tr>
 </tbody>
 </table>
-<h3 id="description-of-fields-in-the-backbone"><span class="header-section-number">3.6</span> Description of fields in the Backbone</h3>
-<em>Name_sPlot_TRY</em> - Name as retrieved in sPlot or TRY<br />
+<div id="description-of-fields-in-the-backbone" class="section level3">
+<h3><span class="header-section-number">3.6.1</span> Description of fields in the Backbone</h3>
+<p><em>Name_sPlot_TRY</em> - Name as retrieved in sPlot or TRY<br />
 <em>Name_string_corr1</em> - Name after first round of string cleaning<br />
 <em>Name_string_corr2</em> - Name after second round of string cleaning<br />
 <em>sPlot_TRY</em> - Origin or species name (S - sPlot, T - Try, A - Alpine dataset &amp; combinations)<br />
@@ -5240,12 +5513,11 @@ Vascular plant
 <em>Name_short</em> - First two words of <code>Name_correct</code><br />
 <em>phylum</em> - As derived from <code>The Catalogue of Life</code><br />
 <em>is_vascular_species</em> - As derived based on selection of <code>phylum</code> from <code>The Catalogue of Life</code><br />
-<em><code>Taxon group</code></em> - Taxon group, as in Turboveg. ‘Vascular plant’, ‘Moss’ (include liverworts), ‘Lichen’, ‘Algae’, ’Unknown</li>
-</ol></li>
-</ol>
+<em><code>Taxon group</code></em> - Taxon group, as in Turboveg. ‘Vascular plant’, ‘Moss’ (include liverworts), ‘Lichen’, ‘Algae’, ’Unknown</p>
 <pre class="r"><code>save(Backbone, mushroom, mushroom.families, lichen.genera,
      file=&quot;../_output/Backbone3.0.RData&quot;)</code></pre>
 </div>
+</div>
 <div id="export-species-list-to-request-in-try" class="section level2">
 <h2><span class="header-section-number">3.7</span> Export species list to request in TRY</h2>
 <pre class="r"><code>ToSubmit1 &lt;- Backbone %&gt;% 
@@ -5389,7 +5661,7 @@ Freq
 higher
 </td>
 <td style="text-align:right;">
-6390
+6392
 </td>
 </tr>
 <tr>
@@ -5405,7 +5677,7 @@ family
 genus
 </td>
 <td style="text-align:right;">
-27104
+27102
 </td>
 </tr>
 <tr>
@@ -5479,7 +5751,7 @@ Freq
 Accepted
 </td>
 <td style="text-align:right;">
-284516
+284514
 </td>
 </tr>
 <tr>
@@ -5543,7 +5815,7 @@ Unresolved
 NA
 </td>
 <td style="text-align:right;">
-3175
+3177
 </td>
 </tr>
 </tbody>
@@ -5552,18 +5824,19 @@ NA
 <pre class="r"><code>length(unique(Backbone$Name_short))-1 # minus 1 for NA</code></pre>
 <pre><code>## [1] 271883</code></pre>
 <pre class="r"><code>length(unique(Backbone$Family_correct))-1 # minus 1 for NA</code></pre>
-<pre><code>## [1] 733</code></pre>
+<pre><code>## [1] 734</code></pre>
 <p><strong>Number of entries corresponding to vascular plant species:</strong></p>
 <pre class="r"><code>table(Backbone$is_vascular_species, exclude=NULL)</code></pre>
 <pre><code>## 
 ##  FALSE   TRUE   &lt;NA&gt; 
-##   8819 331948   5625</code></pre>
+##   8819 331946   5627</code></pre>
 <p><strong>Number of duplicated entries after taxonomic standardization:</strong> Frequency of original (non-standardized) species names per resolved (non-standardized) name (excluding non-vascular and non-matched species).</p>
 <pre class="r"><code>df.count &lt;- Backbone %&gt;%
     dplyr::filter(is_vascular_species == TRUE &amp; !is.na(Name_correct)) %&gt;%
     dplyr::group_by(Name_correct) %&gt;%
     dplyr::summarise(n = n()) %&gt;%
     dplyr::arrange(desc(n))</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
 <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
 <caption>
 Number of unresolved, original name entries per resolved name. (Only first 20 shown
@@ -5754,7 +6027,7 @@ Lamiaceae
     dplyr::filter(is_vascular_species == TRUE)</code></pre>
 <p><strong>Now, run the stats for unique resolved names (excluding non-vascular and non-matching taxa):</strong></p>
 <pre class="r"><code>length(Backbone.uni.vasc$Name_short)</code></pre>
-<pre><code>## [1] 263299</code></pre>
+<pre><code>## [1] 263298</code></pre>
 <p>There are 0 unique (vascular plant) taxon names:</p>
 <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
 <caption>
@@ -5784,7 +6057,7 @@ A
 S
 </td>
 <td style="text-align:right;">
-12931
+12930
 </td>
 </tr>
 <tr>
@@ -5866,7 +6139,7 @@ family
 genus
 </td>
 <td style="text-align:right;">
-6879
+6878
 </td>
 </tr>
 <tr>
@@ -5940,7 +6213,7 @@ Freq
 Accepted
 </td>
 <td style="text-align:right;">
-228356
+228355
 </td>
 </tr>
 <tr>
@@ -5971,7 +6244,7 @@ No suitable matches found.
 </table>
 <p><strong>Total number of unique standardized taxon names and families:</strong></p>
 <pre class="r"><code>length(unique(Backbone.uni.vasc$Name_short))-1 # minus 1 for NA</code></pre>
-<pre><code>## [1] 263298</code></pre>
+<pre><code>## [1] 263297</code></pre>
 <pre class="r"><code>length(unique(Backbone.uni.vasc$Family_correct))-1</code></pre>
 <pre><code>## [1] 508</code></pre>
 </div>
@@ -5980,7 +6253,7 @@ No suitable matches found.
 <h2><span class="header-section-number">4.2</span> Stats for the corrected names in <code>sPlot</code> only:</h2>
 <pre class="r"><code>Backbone.uni.sPlot &lt;- Backbone.uni.vasc %&gt;%
   filter(sPlot_TRY %in% c(&quot;S&quot;, &quot;ST&quot;, &quot;SA&quot;, &quot;STA&quot;))</code></pre>
-<p>There are 63826 unique, corrected names of vascular plants for sPlot species</p>
+<p>There are 63825 unique, corrected names of vascular plants for sPlot species</p>
 <strong>Database affiliations</strong>
 <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
 <caption>
@@ -6002,7 +6275,7 @@ Freq
 S
 </td>
 <td style="text-align:right;">
-12931
+12930
 </td>
 </tr>
 <tr>
@@ -6068,7 +6341,7 @@ family
 genus
 </td>
 <td style="text-align:right;">
-961
+960
 </td>
 </tr>
 <tr>
@@ -6142,7 +6415,7 @@ Freq
 Accepted
 </td>
 <td style="text-align:right;">
-53539
+53538
 </td>
 </tr>
 <tr>
@@ -6173,7 +6446,7 @@ No suitable matches found.
 </table>
 <p><strong>Number of families in sPlot</strong>:</p>
 <pre class="r"><code>length(unique(Backbone$Family_correct))</code></pre>
-<pre><code>## [1] 734</code></pre>
+<pre><code>## [1] 735</code></pre>
 <p><strong>Done!</strong></p>
 <hr />
 </div>
@@ -6189,7 +6462,7 @@ No suitable matches found.
 <pre class="r"><code>sessionInfo()</code></pre>
 <pre><code>## R version 3.6.3 (2020-02-29)
 ## Platform: x86_64-pc-linux-gnu (64-bit)
-## Running under: Ubuntu 16.04.6 LTS
+## Running under: Ubuntu 16.04.7 LTS
 ## 
 ## Matrix products: default
 ## BLAS:   /usr/lib/openblas-base/libblas.so.3
@@ -6207,29 +6480,30 @@ No suitable matches found.
 ## [1] stats     graphics  grDevices utils     datasets  methods   base     
 ## 
 ## other attached packages:
-##  [1] vegdata_0.9.7     foreign_0.8-76    Taxonstand_2.1    pbapply_1.4-2    
-##  [5] taxize_0.9.92     kableExtra_1.1.0  knitr_1.28        data.table_1.12.8
-##  [9] forcats_0.5.0     stringr_1.4.0     dplyr_0.8.5       purrr_0.3.3      
-## [13] readr_1.3.1       tidyr_1.0.2       tibble_2.1.3      ggplot2_3.3.0    
-## [17] tidyverse_1.3.0   reshape2_1.4.3   
+##  [1] vegdata_0.9.7     foreign_0.8-76    Taxonstand_2.1    pbapply_1.4-3    
+##  [5] taxize_0.9.99     kableExtra_1.3.1  knitr_1.30        data.table_1.13.2
+##  [9] forcats_0.5.0     stringr_1.4.0     dplyr_1.0.2       purrr_0.3.4      
+## [13] readr_1.4.0       tidyr_1.1.2       tibble_3.0.1      ggplot2_3.3.0    
+## [17] tidyverse_1.3.0   reshape2_1.4.4   
 ## 
 ## loaded via a namespace (and not attached):
-##  [1] Rcpp_1.0.3        lubridate_1.7.4   ape_5.3           lattice_0.20-40  
-##  [5] zoo_1.8-7         foreach_1.4.8     assertthat_0.2.1  digest_0.6.23    
-##  [9] R6_2.4.1          cellranger_1.1.0  plyr_1.8.6        backports_1.1.5  
-## [13] reprex_0.3.0      evaluate_0.14     highr_0.8         httr_1.4.1       
-## [17] pillar_1.4.2      rlang_0.4.4       curl_4.3          readxl_1.3.1     
-## [21] rstudioapi_0.11   rmarkdown_2.1     webshot_0.5.2     munsell_0.5.0    
-## [25] broom_0.5.5       compiler_3.6.3    modelr_0.1.6      xfun_0.12        
-## [29] pkgconfig_2.0.3   htmltools_0.4.0   tidyselect_1.0.0  httpcode_0.2.0   
-## [33] codetools_0.2-16  reshape_0.8.8     fansi_0.4.1       viridisLite_0.3.0
-## [37] crayon_1.3.4      dbplyr_1.4.2      withr_2.1.2       crul_0.9.0       
-## [41] grid_3.6.3        nlme_3.1-145      jsonlite_1.6.1    gtable_0.3.0     
-## [45] lifecycle_0.2.0   DBI_1.1.0         magrittr_1.5      scales_1.1.0     
-## [49] cli_2.0.2         stringi_1.4.6     fs_1.3.2          xml2_1.2.2       
-## [53] generics_0.0.2    vctrs_0.2.3       iterators_1.0.12  tools_3.6.3      
-## [57] bold_0.9.0        glue_1.3.1        hms_0.5.3         parallel_3.6.3   
-## [61] yaml_2.2.1        colorspace_1.4-1  rvest_0.3.5       haven_2.2.0</code></pre>
+##  [1] httr_1.4.2        jsonlite_1.7.1    viridisLite_0.3.0 foreach_1.5.1    
+##  [5] bold_1.1.0        modelr_0.1.6      assertthat_0.2.1  highr_0.8        
+##  [9] cellranger_1.1.0  yaml_2.2.1        pillar_1.4.3      backports_1.2.0  
+## [13] lattice_0.20-41   glue_1.4.2        uuid_0.1-4        digest_0.6.25    
+## [17] rvest_0.3.6       colorspace_2.0-0  htmltools_0.5.0   plyr_1.8.6       
+## [21] pkgconfig_2.0.3   httpcode_0.3.0    broom_0.7.0       haven_2.3.1      
+## [25] scales_1.1.1      webshot_0.5.2     generics_0.1.0    ellipsis_0.3.1   
+## [29] withr_2.3.0       cli_2.2.0         magrittr_2.0.1    crayon_1.3.4     
+## [33] readxl_1.3.1      evaluate_0.14     fs_1.5.0          fansi_0.4.1      
+## [37] nlme_3.1-150      xml2_1.3.2        tools_3.6.3       hms_0.5.3        
+## [41] lifecycle_0.2.0   munsell_0.5.0     reprex_0.3.0      compiler_3.6.3   
+## [45] rlang_0.4.8       grid_3.6.3        conditionz_0.1.0  iterators_1.0.13 
+## [49] rstudioapi_0.13   rmarkdown_2.5     gtable_0.3.0      codetools_0.2-18 
+## [53] DBI_1.1.0         reshape_0.8.8     curl_4.3          R6_2.5.0         
+## [57] zoo_1.8-8         lubridate_1.7.9.2 ape_5.4-1         stringi_1.5.3    
+## [61] parallel_3.6.3    crul_1.0.0        Rcpp_1.0.5        vctrs_0.3.5      
+## [65] dbplyr_2.0.0      tidyselect_1.1.0  xfun_0.19</code></pre>
 </div>
 
 
@@ -6241,7 +6515,7 @@ No suitable matches found.
 
 // add bootstrap table styles to pandoc tables
 function bootstrapStylePandocTables() {
-  $('tr.header').parent('thead').parent('table').addClass('table table-condensed');
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
 }
 $(document).ready(function () {
   bootstrapStylePandocTables();
diff --git a/public/04_buildHeader.html b/public/04_buildHeader.html
index e0a48801fefb8c97af19ddecb4c535ff025d4048..c00141b7939b1df3bd46b974fe3f6a84c9241113 100644
--- a/public/04_buildHeader.html
+++ b/public/04_buildHeader.html
@@ -208,6 +208,45 @@ color: #d14;
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+            ? x.id : '');
+  };
+
+  // Add anchors
+  h.forEach(function(x) {
+    const id = x.id || section_id(x.parentElement);
+    if (id === '') {
+      return null;
+    }
+    let anchor = document.createElement('a');
+    anchor.href = '#' + id;
+    anchor.classList = ['anchor-section'];
+    x.classList.add('hasAnchor');
+    x.appendChild(anchor);
+  });
+});
+</script>
 <script>$(document).ready(function(){
     if (typeof $('[data-toggle="tooltip"]').tooltip === 'function') {
         $('[data-toggle="tooltip"]').tooltip();
@@ -217,6 +256,230 @@ color: #d14;
     }
 });
 </script>
+<style type="text/css">
+.lightable-minimal {
+border-collapse: separate;
+border-spacing: 16px 1px;
+width: 100%;
+margin-bottom: 10px;
+}
+.lightable-minimal td {
+margin-left: 5px;
+margin-right: 5px;
+}
+.lightable-minimal th {
+margin-left: 5px;
+margin-right: 5px;
+}
+.lightable-minimal thead tr:last-child th {
+border-bottom: 2px solid #00000050;
+empty-cells: hide;
+}
+.lightable-minimal tbody tr:first-child td {
+padding-top: 0.5em;
+}
+.lightable-minimal.lightable-hover tbody tr:hover {
+background-color: #f5f5f5;
+}
+.lightable-minimal.lightable-striped tbody tr:nth-child(even) {
+background-color: #f5f5f5;
+}
+.lightable-classic {
+border-top: 0.16em solid #111111;
+border-bottom: 0.16em solid #111111;
+width: 100%;
+margin-bottom: 10px;
+margin: 10px 5px;
+}
+.lightable-classic tfoot tr td {
+border: 0;
+}
+.lightable-classic tfoot tr:first-child td {
+border-top: 0.14em solid #111111;
+}
+.lightable-classic caption {
+color: #222222;
+}
+.lightable-classic td {
+padding-left: 5px;
+padding-right: 5px;
+color: #222222;
+}
+.lightable-classic th {
+padding-left: 5px;
+padding-right: 5px;
+font-weight: normal;
+color: #222222;
+}
+.lightable-classic thead tr:last-child th {
+border-bottom: 0.10em solid #111111;
+}
+.lightable-classic.lightable-hover tbody tr:hover {
+background-color: #F9EEC1;
+}
+.lightable-classic.lightable-striped tbody tr:nth-child(even) {
+background-color: #f5f5f5;
+}
+.lightable-classic-2 {
+border-top: 3px double #111111;
+border-bottom: 3px double #111111;
+width: 100%;
+margin-bottom: 10px;
+}
+.lightable-classic-2 tfoot tr td {
+border: 0;
+}
+.lightable-classic-2 tfoot tr:first-child td {
+border-top: 3px double #111111;
+}
+.lightable-classic-2 caption {
+color: #222222;
+}
+.lightable-classic-2 td {
+padding-left: 5px;
+padding-right: 5px;
+color: #222222;
+}
+.lightable-classic-2 th {
+padding-left: 5px;
+padding-right: 5px;
+font-weight: normal;
+color: #222222;
+}
+.lightable-classic-2 tbody tr:last-child td {
+border-bottom: 3px double #111111;
+}
+.lightable-classic-2 thead tr:last-child th {
+border-bottom: 1px solid #111111;
+}
+.lightable-classic-2.lightable-hover tbody tr:hover {
+background-color: #F9EEC1;
+}
+.lightable-classic-2.lightable-striped tbody tr:nth-child(even) {
+background-color: #f5f5f5;
+}
+.lightable-material {
+min-width: 100%;
+white-space: nowrap;
+table-layout: fixed;
+font-family: Roboto, sans-serif;
+border: 1px solid #EEE;
+border-collapse: collapse;
+margin-bottom: 10px;
+}
+.lightable-material tfoot tr td {
+border: 0;
+}
+.lightable-material tfoot tr:first-child td {
+border-top: 1px solid #EEE;
+}
+.lightable-material th {
+height: 56px;
+padding-left: 16px;
+padding-right: 16px;
+}
+.lightable-material td {
+height: 52px;
+padding-left: 16px;
+padding-right: 16px;
+border-top: 1px solid #eeeeee;
+}
+.lightable-material.lightable-hover tbody tr:hover {
+background-color: #f5f5f5;
+}
+.lightable-material.lightable-striped tbody tr:nth-child(even) {
+background-color: #f5f5f5;
+}
+.lightable-material.lightable-striped tbody td {
+border: 0;
+}
+.lightable-material.lightable-striped thead tr:last-child th {
+border-bottom: 1px solid #ddd;
+}
+.lightable-material-dark {
+min-width: 100%;
+white-space: nowrap;
+table-layout: fixed;
+font-family: Roboto, sans-serif;
+border: 1px solid #FFFFFF12;
+border-collapse: collapse;
+margin-bottom: 10px;
+background-color: #363640;
+}
+.lightable-material-dark tfoot tr td {
+border: 0;
+}
+.lightable-material-dark tfoot tr:first-child td {
+border-top: 1px solid #FFFFFF12;
+}
+.lightable-material-dark th {
+height: 56px;
+padding-left: 16px;
+padding-right: 16px;
+color: #FFFFFF60;
+}
+.lightable-material-dark td {
+height: 52px;
+padding-left: 16px;
+padding-right: 16px;
+color: #FFFFFF;
+border-top: 1px solid #FFFFFF12;
+}
+.lightable-material-dark.lightable-hover tbody tr:hover {
+background-color: #FFFFFF12;
+}
+.lightable-material-dark.lightable-striped tbody tr:nth-child(even) {
+background-color: #FFFFFF12;
+}
+.lightable-material-dark.lightable-striped tbody td {
+border: 0;
+}
+.lightable-material-dark.lightable-striped thead tr:last-child th {
+border-bottom: 1px solid #FFFFFF12;
+}
+.lightable-paper {
+width: 100%;
+margin-bottom: 10px;
+color: #444;
+}
+.lightable-paper tfoot tr td {
+border: 0;
+}
+.lightable-paper tfoot tr:first-child td {
+border-top: 1px solid #00000020;
+}
+.lightable-paper thead tr:last-child th {
+color: #666;
+vertical-align: bottom;
+border-bottom: 1px solid #00000020;
+line-height: 1.15em;
+padding: 10px 5px;
+}
+.lightable-paper td {
+vertical-align: middle;
+border-bottom: 1px solid #00000010;
+line-height: 1.15em;
+padding: 7px 5px;
+}
+.lightable-paper.lightable-hover tbody tr:hover {
+background-color: #F9EEC1;
+}
+.lightable-paper.lightable-striped tbody tr:nth-child(even) {
+background-color: #00000008;
+}
+.lightable-paper.lightable-striped tbody td {
+border: 0;
+}
+</style>
+
+<style type="text/css">
+  code{white-space: pre-wrap;}
+  span.smallcaps{font-variant: small-caps;}
+  span.underline{text-decoration: underline;}
+  div.column{display: inline-block; vertical-align: top; width: 50%;}
+  div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+  ul.task-list{list-style: none;}
+    </style>
 
 <style type="text/css">code{white-space: pre;}</style>
 <style type="text/css">
@@ -381,11 +644,16 @@ summary {
 <center>
 <img src="data:image/png;base64,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" title="sPlot Logo" />
 </center>
-<p><strong>Timestamp:</strong> Fri Mar 13 13:56:17 2020<br />
+
+<p><strong>Timestamp:</strong> Fri Nov 27 14:47:19 2020<br />
 <strong>Drafted:</strong> Francesco Maria Sabatini<br />
-<strong>Revised:</strong><br />
-<strong>version:</strong> 1.0</p>
+<strong>Revised:</strong> Helge Bruelheide<br />
+<strong>Version:</strong> 1.1</p>
 <p>This report documents the construction of the header file for sPlot 3.0. It is based on dataset sPlot_3.0.2, received on 24/07/2019 from Stephan Hennekens.</p>
+<p><em>Changes in version 1.1.</em><br />
+1) Excluded plots from Canada, as recommended by Custodian<br />
+2) Filled missing info from most of the ~2000 plots without country information from these datasets.<br />
+3) Corrected mismatched sBiomes and ecoregions</p>
 <pre class="r"><code>knitr::opts_chunk$set(echo = TRUE)
 library(tidyverse)
 library(viridis)
@@ -406,20 +674,20 @@ library(rnaturalearth)
 library(dggridR)
 
 #save temporary files
-write(&quot;TMPDIR = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.getenv('TMPDIR'), '.Renviron'))
-write(&quot;R_USER = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.getenv('R_USER'), '.Renviron'))
+write(&quot;TMPDIR = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.getenv(&#39;TMPDIR&#39;), &#39;.Renviron&#39;))
+write(&quot;R_USER = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.getenv(&#39;R_USER&#39;), &#39;.Renviron&#39;))
 rasterOptions(tmpdir=&quot;/data/sPlot/users/Francesco/_tmp&quot;)</code></pre>
+<div id="import-data" class="section level2">
+<h2>1 Import data</h2>
+<p>Import header data. Clean header data from quotation and double quotation marks from linux terminal.</p>
 <pre class="bash"><code># escape all double quotation marks. Run in Linux terminal
-#sed 's/&quot;/\\&quot;/g' sPlot_3_0_2_header.csv &gt; sPlot_3_0_2_header_test.csv
+#sed &#39;s/&quot;/\\&quot;/g&#39; sPlot_3_0_2_header.csv &gt; sPlot_3_0_2_header_test.csv
 
 #more general alternative in case some &quot; are already escaped
 ##first removing \s before all &quot;s, and then adding \ before all &quot;:
-#sed 's/\([^\\]\)&quot;/\1\\\&quot;/g; s/&quot;/\\&quot;/g'
-</code></pre>
-<div id="import-data" class="section level2">
-<h2>1 Import data</h2>
-<p>Import header data</p>
-<pre class="r"><code>header0 &lt;- readr::read_delim(&quot;../sPlot_data_export/sPlot_3_0_2_header_test.csv&quot;, locale = locale(encoding = 'UTF-8'),
+#sed &#39;s/\([^\\]\)&quot;/\1\\\&quot;/g; s/&quot;/\\&quot;/g&#39;</code></pre>
+<p>Import cleaned header data.</p>
+<pre class="r"><code>header0 &lt;- readr::read_delim(&quot;../sPlot_data_export/sPlot_3_0_2_header_test.csv&quot;, locale = locale(encoding = &#39;UTF-8&#39;),
                             delim=&quot;\t&quot;, col_types=cols(
   PlotObservationID = col_double(),
   PlotID = col_double(),
@@ -454,7 +722,7 @@ rasterOptions(tmpdir=&quot;/data/sPlot/users/Francesco/_tmp&quot;)</code></pre>
   COMMUNITY = col_character(),
   SUBSTRATE = col_character(),
   Locality = col_character(),
-  ORIG_NUM = col_double(),
+  ORIG_NUM = col_character(),
   ALLIAN_REV = col_character(),
   REV_AUTHOR = col_character(),
   Forest = col_logical(),
@@ -489,8 +757,20 @@ rasterOptions(tmpdir=&quot;/data/sPlot/users/Francesco/_tmp&quot;)</code></pre>
 10. POINT_X<br />
 11. POINT_Y<br />
 ~~ Columns #1, #2, #3, #10, #11 will be dropped. The others will be derived below.</p>
+<div id="exclude-unreliable-plots" class="section level3">
+<h3>1.1 Exclude unreliable plots</h3>
+<p>Some canadian plots need to be removed, on indication of <a href="laura.boisvert-marsh@canada.ca">Laura Boisvert-Marsh</a> from GIVD NA-CA-004. The plots (and corresponding <code>PlotObservationID</code>) are:<br />
+</p>
+<p>Fabot01 - 1707776<br />
+Fadum01, 02 &amp; 03 - 1707779:1707781<br />
+Faers01 - 1707782<br />
+Pfe-f-08 - 1707849<br />
+Pfe-o-05- 1707854</p>
+<pre class="r"><code>header0 &lt;- header0 %&gt;% 
+  filter(!PlotObservationID %in% c(1707776, 1707779:1707782, 1707849, 1707854))</code></pre>
+</div>
 <div id="solve-spatial-problems" class="section level3">
-<h3>1.1 Solve spatial problems</h3>
+<h3>1.2 Solve spatial problems</h3>
 <p>There are 2020 plots in the Nile dataset without spatial coordinates. Assign manually with wide (90km) location uncertainty.</p>
 <pre class="r"><code>header &lt;- header0 %&gt;% 
   mutate(Latitude=replace(Latitude, 
@@ -516,11 +796,17 @@ header[toswap, c(&quot;Latitude&quot;, &quot;Longitude&quot;)] &lt;- header[tosw
                                             -abs(loc.uncer.median), 
                                             `Location uncertainty (m)`)) %&gt;% 
   dplyr::select(-loc.uncer.median)</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
 <p>There are still 91960 plots with no estimation of location uncertainty.<br />
  Assign plot size to plots in the Patagonia dataset (input of Ana Cingolani)</p>
 <pre class="r"><code>header &lt;- header %&gt;% 
   mutate(`Relevé area (m²)`=ifelse( (Dataset==&quot;Patagonia&quot; &amp; is.na(`Relevé area (m²)`)), 
                                     -900, `Relevé area (m²)`))</code></pre>
+<p>There are 518 plots from the dataset Germany_gvrd (EU-DE-014) having a location uncertainty equal to 2,147,483 km (!). These plots have a location reported. Replace with a more likely estimate (20 km)</p>
+<pre class="r"><code>header &lt;- header %&gt;% 
+  mutate(`Location uncertainty (m)`=replace(`Location uncertainty (m)`, 
+                                            list=`Location uncertainty (m)`==2147483647, 
+                                            values=20000))</code></pre>
 </div>
 </div>
 <div id="formations" class="section level2">
@@ -621,8 +907,17 @@ header.shp &lt;- SpatialPointsDataFrame(coords= header.shp %&gt;%
                                                loc.uncert=header.shp$`Location uncertainty (m)`, 
                                                `GIVD ID`=header.shp$`GIVD ID`))
 writeOGR(header.shp, dsn=&quot;../_derived/&quot;, layer=&quot;header.shp&quot;, driver=&quot;ESRI Shapefile&quot;, overwrite_layer = T)</code></pre>
-<pre><code>## Warning in writeOGR(header.shp, dsn = &quot;../_derived/&quot;, layer = &quot;header.shp&quot;, :
-## Field names abbreviated for ESRI Shapefile driver</code></pre>
+<p>Reimport shapefile</p>
+<pre class="r"><code>header.shp &lt;- readOGR(&quot;../_derived/header.shp.shp&quot;)</code></pre>
+<pre><code>## OGR data source with driver: ESRI Shapefile 
+## Source: &quot;/data/sPlot/users/Francesco/sPlot3/_derived/header.shp.shp&quot;, layer: &quot;header.shp&quot;
+## with 1976235 features
+## It has 3 fields</code></pre>
+<pre class="r"><code>header.shp@data &lt;- header.shp@data %&gt;% 
+  rename(PlotObservationID=PltObID, 
+         loc.uncert=lc_ncrt,
+         `GIVD ID`=GIVD_ID)
+crs(header.shp) &lt;- CRS(&quot;+init=epsg:4326&quot;)</code></pre>
 <div id="assign-to-continents" class="section level3">
 <h3>4.1 Assign to Continents</h3>
 <p>Download and manipulate map of continents</p>
@@ -662,7 +957,7 @@ library(doParallel)
 cl &lt;- makeForkCluster(ncores, outfile=&quot;&quot; )
 registerDoParallel(cl)
   
-nearestContinent &lt;- foreach(i=1:length(toassign), .packages=c('raster'), .combine=rbind) %dopar% { 
+nearestContinent &lt;- foreach(i=1:length(toassign), .packages=c(&#39;raster&#39;), .combine=rbind) %dopar% { 
   nearestContinent.tmp &lt;- geosphere::dist2Line(toassign[i,], continent_clipped)
 }
 continent.out$continent[which(is.na(continent.out$continent))] &lt;- as.character(continent[-137,]@data[nearestContinent[,&quot;ID&quot;],])
@@ -671,18 +966,16 @@ stopCluster(cl)</code></pre>
 <p>Reload, manipulate continent and attach to header</p>
 <pre class="r"><code>load(&quot;../_derived/continent.out&quot;)
 header &lt;- header %&gt;% 
-  left_join(header %&gt;% 
-              filter(!is.na(Longitude) | !is.na(Latitude)) %&gt;% 
+  left_join(header.shp@data %&gt;% 
               dplyr::select(PlotObservationID) %&gt;% 
-              bind_cols(continent.out), 
+              bind_cols(continent.out),
             by=&quot;PlotObservationID&quot;) %&gt;% 
   mutate(CONTINENT=factor(continent, 
                             levels=c(&quot;Africa&quot;, &quot;Antarctica&quot;, &quot;Australia&quot;, &quot;Eurasia&quot;, &quot;North America&quot;, &quot;South America&quot;),
                             labels=c(&quot;AF&quot;, &quot;AN&quot;, &quot;AU&quot;, &quot;EU&quot;, &quot;NA&quot;, &quot;SA&quot;))) %&gt;% 
+  
   dplyr::select(-continent)</code></pre>
-<p>Summarize</p>
-<pre><code>## Warning: Factor `CONTINENT` contains implicit NA, consider using
-## `forcats::fct_explicit_na`</code></pre>
+Summarize
 <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
 <caption>
 Number of plots per continent
@@ -735,7 +1028,7 @@ EU
 NA
 </td>
 <td style="text-align:right;">
-90177
+90170
 </td>
 </tr>
 <tr>
@@ -782,14 +1075,17 @@ sBiomes.out &lt;- foreach(i=1:99, .combine=rbind) %dopar% {
 stopCluster(cl)</code></pre>
 <p>Reimport output and join to header</p>
 <pre class="r"><code>sBiome.files &lt;- list.files(&quot;../_derived/sBiomes&quot;, pattern=&quot;sBiomes-[0-9]+.csv&quot;, full.names=T)
+sBiome.files &lt;- sBiome.files[order(as.numeric(str_extract(sBiome.files, pattern=&quot;[0-9]+&quot;)))]
 sBiomes.out &lt;- do.call(rbind, lapply(sBiome.files, function(x) {read_csv(x)}))
+sBiomes.out &lt;- header.shp@data %&gt;% 
+  dplyr::select(PlotObservationID) %&gt;% 
+  bind_cols(sBiomes.out)
 header &lt;- header %&gt;% 
   left_join(sBiomes.out %&gt;% 
-              rename(PlotObservationID=X1) %&gt;% 
               dplyr::select(PlotObservationID, Name, BiomeID) %&gt;% 
               dplyr::rename(sBiome=Name, sBiomeID=BiomeID), 
             by=&quot;PlotObservationID&quot;)</code></pre>
-<p>There are 11849 unassigned plots.</p>
+<p>There are 2487 unassigned plots.</p>
 Summarize:
 <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
 <caption>
@@ -811,7 +1107,7 @@ num.plot
 Alpine
 </td>
 <td style="text-align:right;">
-37851
+38274
 </td>
 </tr>
 <tr>
@@ -819,7 +1115,7 @@ Alpine
 Boreal zone
 </td>
 <td style="text-align:right;">
-32526
+33833
 </td>
 </tr>
 <tr>
@@ -827,7 +1123,7 @@ Boreal zone
 Dry midlatitudes
 </td>
 <td style="text-align:right;">
-69887
+70676
 </td>
 </tr>
 <tr>
@@ -835,7 +1131,7 @@ Dry midlatitudes
 Dry tropics and subtropics
 </td>
 <td style="text-align:right;">
-38808
+40750
 </td>
 </tr>
 <tr>
@@ -843,7 +1139,7 @@ Dry tropics and subtropics
 Polar and subpolar zone
 </td>
 <td style="text-align:right;">
-7952
+8199
 </td>
 </tr>
 <tr>
@@ -851,7 +1147,7 @@ Polar and subpolar zone
 Subtropics with winter rain
 </td>
 <td style="text-align:right;">
-191623
+191247
 </td>
 </tr>
 <tr>
@@ -859,7 +1155,7 @@ Subtropics with winter rain
 Subtrop. with year-round rain
 </td>
 <td style="text-align:right;">
-73244
+75181
 </td>
 </tr>
 <tr>
@@ -867,7 +1163,7 @@ Subtrop. with year-round rain
 Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-1488121
+1491155
 </td>
 </tr>
 <tr>
@@ -875,7 +1171,7 @@ Temperate midlatitudes
 Tropics with summer rain
 </td>
 <td style="text-align:right;">
-15781
+15769
 </td>
 </tr>
 <tr>
@@ -883,7 +1179,7 @@ Tropics with summer rain
 Tropics with year-round rain
 </td>
 <td style="text-align:right;">
-11044
+11108
 </td>
 </tr>
 <tr>
@@ -891,7 +1187,7 @@ Tropics with year-round rain
 NA
 </td>
 <td style="text-align:right;">
-11849
+2487
 </td>
 </tr>
 </tbody>
@@ -924,6 +1220,7 @@ ecoreg.out &lt;- foreach(i=1:99, .combine=rbind) %dopar% {
 stopCluster(cl)</code></pre>
 <p>Reimport output and join to header</p>
 <pre class="r"><code>ecoreg.files &lt;- list.files(&quot;../_derived/wwf_ecoregions/&quot;, pattern=&quot;wwf_terr_ecos-[0-9]+.csv&quot;, full.names=T)
+ecoreg.files &lt;- ecoreg.files[order(as.numeric(str_extract(ecoreg.files, pattern=&quot;[0-9]+&quot;)))]
 ecoreg.out &lt;- do.call(rbind, lapply(ecoreg.files, function(x) {read_csv(x, 
   col_types=cols(
     .default = col_double(),
@@ -931,9 +1228,13 @@ ecoreg.out &lt;- do.call(rbind, lapply(ecoreg.files, function(x) {read_csv(x,
     REALM = col_character(),
     G200_REGIO = col_character(),
     eco_code = col_character()))}))
+
+ecoreg.out &lt;- header.shp@data %&gt;% 
+  dplyr::select(PlotObservationID) %&gt;% 
+  bind_cols(ecoreg.out)
+
 header &lt;- header %&gt;% 
   left_join(ecoreg.out %&gt;% 
-              rename(PlotObservationID=X1) %&gt;% 
               dplyr::select(PlotObservationID, ECO_NAME, ECO_ID) %&gt;% 
               dplyr::rename(Ecoregion=ECO_NAME, EcoregionID=ECO_ID), 
             by=&quot;PlotObservationID&quot;)</code></pre>
@@ -959,7 +1260,7 @@ num.plot
 Atlantic mixed forests
 </td>
 <td style="text-align:right;">
-349664
+350272
 </td>
 </tr>
 <tr>
@@ -967,7 +1268,7 @@ Atlantic mixed forests
 Western European broadleaf forests
 </td>
 <td style="text-align:right;">
-254820
+254397
 </td>
 </tr>
 <tr>
@@ -975,7 +1276,7 @@ Western European broadleaf forests
 Baltic mixed forests
 </td>
 <td style="text-align:right;">
-186551
+186554
 </td>
 </tr>
 <tr>
@@ -983,7 +1284,7 @@ Baltic mixed forests
 Central European mixed forests
 </td>
 <td style="text-align:right;">
-126733
+126331
 </td>
 </tr>
 <tr>
@@ -991,7 +1292,7 @@ Central European mixed forests
 Pannonian mixed forests
 </td>
 <td style="text-align:right;">
-96371
+96427
 </td>
 </tr>
 <tr>
@@ -999,7 +1300,7 @@ Pannonian mixed forests
 Alps conifer and mixed forests
 </td>
 <td style="text-align:right;">
-74662
+74847
 </td>
 </tr>
 <tr>
@@ -1007,7 +1308,7 @@ Alps conifer and mixed forests
 Carpathian montane forests
 </td>
 <td style="text-align:right;">
-68357
+68489
 </td>
 </tr>
 <tr>
@@ -1015,7 +1316,7 @@ Carpathian montane forests
 Celtic broadleaf forests
 </td>
 <td style="text-align:right;">
-62756
+62939
 </td>
 </tr>
 <tr>
@@ -1023,7 +1324,7 @@ Celtic broadleaf forests
 Sarmatic mixed forests
 </td>
 <td style="text-align:right;">
-36093
+36192
 </td>
 </tr>
 <tr>
@@ -1031,7 +1332,7 @@ Sarmatic mixed forests
 Northeastern Spain and Southern France Mediterranean forests
 </td>
 <td style="text-align:right;">
-33345
+33435
 </td>
 </tr>
 <tr>
@@ -1039,7 +1340,7 @@ Northeastern Spain and Southern France Mediterranean forests
 Taiheiyo evergreen forests
 </td>
 <td style="text-align:right;">
-31241
+31108
 </td>
 </tr>
 <tr>
@@ -1047,7 +1348,7 @@ Taiheiyo evergreen forests
 English Lowlands beech forests
 </td>
 <td style="text-align:right;">
-30724
+30721
 </td>
 </tr>
 <tr>
@@ -1055,7 +1356,7 @@ English Lowlands beech forests
 Balkan mixed forests
 </td>
 <td style="text-align:right;">
-30047
+29995
 </td>
 </tr>
 <tr>
@@ -1063,7 +1364,7 @@ Balkan mixed forests
 Italian sclerophyllous and semi-deciduous forests
 </td>
 <td style="text-align:right;">
-27913
+27766
 </td>
 </tr>
 <tr>
@@ -1071,7 +1372,7 @@ Italian sclerophyllous and semi-deciduous forests
 Cantabrian mixed forests
 </td>
 <td style="text-align:right;">
-26043
+25972
 </td>
 </tr>
 <tr>
@@ -1079,7 +1380,7 @@ Cantabrian mixed forests
 Pyrenees conifer and mixed forests
 </td>
 <td style="text-align:right;">
-24529
+24558
 </td>
 </tr>
 <tr>
@@ -1087,7 +1388,7 @@ Pyrenees conifer and mixed forests
 Tyrrhenian-Adriatic Sclerophyllous and mixed forests
 </td>
 <td style="text-align:right;">
-19885
+20071
 </td>
 </tr>
 <tr>
@@ -1095,7 +1396,7 @@ Tyrrhenian-Adriatic Sclerophyllous and mixed forests
 Iberian sclerophyllous and semi-deciduous forests
 </td>
 <td style="text-align:right;">
-18182
+18179
 </td>
 </tr>
 <tr>
@@ -1103,7 +1404,7 @@ Iberian sclerophyllous and semi-deciduous forests
 East European forest steppe
 </td>
 <td style="text-align:right;">
-16745
+16728
 </td>
 </tr>
 <tr>
@@ -1111,79 +1412,79 @@ East European forest steppe
 Great Basin shrub steppe
 </td>
 <td style="text-align:right;">
-15584
+16170
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Dinaric Mountains mixed forests
+Eastern Australian temperate forests
 </td>
 <td style="text-align:right;">
-14846
+14827
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Pontic steppe
+Dinaric Mountains mixed forests
 </td>
 <td style="text-align:right;">
-14294
+14746
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Nihonkai montane deciduous forests
+Scandinavian and Russian taiga
 </td>
 <td style="text-align:right;">
-14022
+14456
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Caspian lowland desert
+Nihonkai montane deciduous forests
 </td>
 <td style="text-align:right;">
-14006
+14131
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Rodope montane mixed forests
+Caspian lowland desert
 </td>
 <td style="text-align:right;">
-14004
+14050
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Eastern Australian temperate forests
+Rodope montane mixed forests
 </td>
 <td style="text-align:right;">
-13988
+13999
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Scandinavian and Russian taiga
+Pontic steppe
 </td>
 <td style="text-align:right;">
-13391
+13703
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-NA
+Southeast Australia temperate savanna
 </td>
 <td style="text-align:right;">
-12196
+12439
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Southeast Australia temperate savanna
+Colorado Plateau shrublands
 </td>
 <td style="text-align:right;">
-11382
+10964
 </td>
 </tr>
 <tr>
@@ -1191,7 +1492,7 @@ Southeast Australia temperate savanna
 North Atlantic moist mixed forests
 </td>
 <td style="text-align:right;">
-10567
+10593
 </td>
 </tr>
 </tbody>
@@ -1209,7 +1510,7 @@ North Atlantic moist mixed forests
             .funs=list(tile=~cut(., breaks = seq(-180,180, by=.2)))) %&gt;%
   filter(!is.na(Longitude_tile) &amp; !is.na(Latitude_tile) ) %&gt;%
   mutate(tilenam=factor(paste(Longitude_tile, Latitude_tile)))</code></pre>
-<p>There are 1581734 plots out of 1978686 plots with Location uncertainty &lt;= 50km (or absent). The total number of tiles is 30123.<br />
+<p>There are 1582245 plots out of 1978679 plots with Location uncertainty &lt;= 50km (or absent). The total number of tiles is 30123.<br />
 Performed in <a href="https://www.idiv.de/en/research/platforms_and_networks/hpc_cluster.html">EVE HPC cluster</a> using function <code>A97_ElevationExtract.R</code>. Divided in 99 chunks.</p>
 <pre class="r"><code>cl &lt;- makeForkCluster(5, outfile=&quot;&quot;)
 registerDoParallel(cl)
@@ -1256,7 +1557,7 @@ clusterEvalQ(cl, {
   library(dplyr)})
 
 #Loop over all plots
-elevation.failed &lt;- foreach(i=1:nrow(sp.tile0), .packages=c('raster'), .combine=rbind) %dopar% { 
+elevation.failed &lt;- foreach(i=1:nrow(sp.tile0), .packages=c(&#39;raster&#39;), .combine=rbind) %dopar% { 
   sp.tile &lt;- sp.tile0[i,]
   tryCatch(raster.tile &lt;- get_elev_raster(sp.tile, z=10, 
                                           expand=max(sp.tile$`Location uncertainty (m)`)),
@@ -1354,19 +1655,19 @@ DEM.res
 <tbody>
 <tr>
 <td style="text-align:right;">
-937780
+647636
 </td>
 <td style="text-align:right;">
-140
+1708
 </td>
 <td style="text-align:right;">
-140
+1708
 </td>
 <td style="text-align:right;">
-140
+1708
 </td>
 <td style="text-align:right;">
-140
+1708
 </td>
 <td style="text-align:right;">
 153
@@ -1374,19 +1675,19 @@ DEM.res
 </tr>
 <tr>
 <td style="text-align:right;">
-767019
+562052
 </td>
 <td style="text-align:right;">
-252
+323
 </td>
 <td style="text-align:right;">
-252
+323
 </td>
 <td style="text-align:right;">
-252
+323
 </td>
 <td style="text-align:right;">
-252
+323
 </td>
 <td style="text-align:right;">
 153
@@ -1394,19 +1695,19 @@ DEM.res
 </tr>
 <tr>
 <td style="text-align:right;">
-1440522
+1201030
 </td>
 <td style="text-align:right;">
-821
+-1
 </td>
 <td style="text-align:right;">
-821
+-3
 </td>
 <td style="text-align:right;">
-821
+-2
 </td>
 <td style="text-align:right;">
-821
+0
 </td>
 <td style="text-align:right;">
 153
@@ -1414,19 +1715,19 @@ DEM.res
 </tr>
 <tr>
 <td style="text-align:right;">
-619891
+1237423
 </td>
 <td style="text-align:right;">
-315
+18
 </td>
 <td style="text-align:right;">
-315
+-1
 </td>
 <td style="text-align:right;">
-315
+20
 </td>
 <td style="text-align:right;">
-315
+69
 </td>
 <td style="text-align:right;">
 153
@@ -1434,19 +1735,19 @@ DEM.res
 </tr>
 <tr>
 <td style="text-align:right;">
-718496
+1569408
 </td>
 <td style="text-align:right;">
-1047
+686
 </td>
 <td style="text-align:right;">
-1047
+686
 </td>
 <td style="text-align:right;">
-1047
+686
 </td>
 <td style="text-align:right;">
-1047
+686
 </td>
 <td style="text-align:right;">
 153
@@ -1454,19 +1755,19 @@ DEM.res
 </tr>
 <tr>
 <td style="text-align:right;">
-832178
+1056489
 </td>
 <td style="text-align:right;">
-620
+0
 </td>
 <td style="text-align:right;">
-620
+0
 </td>
 <td style="text-align:right;">
-620
+0
 </td>
 <td style="text-align:right;">
-620
+0
 </td>
 <td style="text-align:right;">
 153
@@ -1474,19 +1775,19 @@ DEM.res
 </tr>
 <tr>
 <td style="text-align:right;">
-228243
+1063585
 </td>
 <td style="text-align:right;">
-390
+0
 </td>
 <td style="text-align:right;">
-390
+-2
 </td>
 <td style="text-align:right;">
-390
+1
 </td>
 <td style="text-align:right;">
-390
+5
 </td>
 <td style="text-align:right;">
 153
@@ -1494,19 +1795,19 @@ DEM.res
 </tr>
 <tr>
 <td style="text-align:right;">
-1784946
+1533345
 </td>
 <td style="text-align:right;">
-201
+378
 </td>
 <td style="text-align:right;">
-201
+86
 </td>
 <td style="text-align:right;">
-201
+761
 </td>
 <td style="text-align:right;">
-201
+1485
 </td>
 <td style="text-align:right;">
 153
@@ -1514,19 +1815,19 @@ DEM.res
 </tr>
 <tr>
 <td style="text-align:right;">
-1712313
+1459631
 </td>
 <td style="text-align:right;">
-2283
+2027
 </td>
 <td style="text-align:right;">
-2283
+2027
 </td>
 <td style="text-align:right;">
-2283
+2027
 </td>
 <td style="text-align:right;">
-2283
+2027
 </td>
 <td style="text-align:right;">
 153
@@ -1534,19 +1835,19 @@ DEM.res
 </tr>
 <tr>
 <td style="text-align:right;">
-1226300
+44137
 </td>
 <td style="text-align:right;">
-NA
+2048
 </td>
 <td style="text-align:right;">
-NA
+2048
 </td>
 <td style="text-align:right;">
-NA
+2048
 </td>
 <td style="text-align:right;">
-NA
+2048
 </td>
 <td style="text-align:right;">
 153
@@ -1563,7 +1864,7 @@ NA
 ##  Mean   :  441.6   Mean   : 469.4   Mean   : 506     Mean   :153.1  
 ##  3rd Qu.:  593.0   3rd Qu.: 644.0   3rd Qu.: 698     3rd Qu.:153.0  
 ##  Max.   : 6155.0   Max.   :6155.0   Max.   :6155     Max.   :306.0  
-##  NA's   :104818    NA's   :104818   NA's   :104818   NA's   :3082</code></pre>
+##  NA&#39;s   :104818    NA&#39;s   :104818   NA&#39;s   :104818   NA&#39;s   :3082</code></pre>
 <p>There are 104818 plots without elevation info, corresponding to 5.3% of total.<br />
 There are 51389 plots with elevation below sea level.<br />
  Join elevation data (only median)</p>
@@ -1594,112 +1895,112 @@ num.plot
 <tbody>
 <tr>
 <td style="text-align:left;">
-EU-GB-001
+AS-00-001
 </td>
 <td style="text-align:left;">
-Britain_nvcd
+Korea
 </td>
 <td style="text-align:right;">
-67
+1
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-AS-CN-007
+EU-DK-002
 </td>
 <td style="text-align:left;">
-China_Northern_Mountains_2
+Denmark
 </td>
 <td style="text-align:right;">
-15
+1197
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-AU-AU-003
+EU-RO-008
 </td>
 <td style="text-align:left;">
-NSW Australia
+Romania Grassland Database
 </td>
 <td style="text-align:right;">
-2
+6
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-EU-00-004e
+EU-DE-001
 </td>
 <td style="text-align:left;">
-Spain_sivim_sclerophyllous
+Germany_vegmv
 </td>
 <td style="text-align:right;">
-4
+858
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-EU-00-016
+EU-DE-013
 </td>
 <td style="text-align:left;">
-Ammophiletea Database
+Germany_vegetweb
 </td>
 <td style="text-align:right;">
-118
+33
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-EU-RU-003
+EU-DE-014
 </td>
 <td style="text-align:left;">
-Russia_lysenko
+Germany_gvrd
 </td>
 <td style="text-align:right;">
-159
+35
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-EU-IT-010
+EU-DE-020
 </td>
 <td style="text-align:left;">
-Italy_HabItAlp
+GrassVeg.DE
 </td>
 <td style="text-align:right;">
-5
+27
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-EU-HR-001
+EU-00-004c
 </td>
 <td style="text-align:left;">
-Croatia_mix
+Spain_sivim_grasslands
 </td>
 <td style="text-align:right;">
-95
+1
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-NA-US-014
+AU-AU-003
 </td>
 <td style="text-align:left;">
-Aava
+NSW Australia
 </td>
 <td style="text-align:right;">
-21
+2
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-EU-00-027
+AS-JP-002
 </td>
 <td style="text-align:left;">
-European Boreal Forest Database
+Japan
 </td>
 <td style="text-align:right;">
-3
+220
 </td>
 </tr>
 </tbody>
@@ -1719,8 +2020,43 @@ ggplot(data=mydata) +
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" width="672" /></p>
 </div>
 </div>
+<div id="assign-to-countries" class="section level2">
+<h2>4.5 Assign to countries</h2>
+<p>There is a minor number of plots (4064), not assigned to any countries. Fix that.</p>
+<pre class="r"><code>countries &lt;- readOGR(&quot;../../Ancillary_Data/naturalearth/ne_110m_admin_0_countries.shp&quot;) </code></pre>
+<pre><code>## OGR data source with driver: ESRI Shapefile 
+## Source: &quot;/data/sPlot/users/Francesco/Ancillary_Data/naturalearth/ne_110m_admin_0_countries.shp&quot;, layer: &quot;ne_110m_admin_0_countries&quot;
+## with 177 features
+## It has 94 fields
+## Integer64 fields read as strings:  POP_EST NE_ID</code></pre>
+<pre class="r"><code>crs(countries) &lt;- crs(header.shp)
+tmp.sel &lt;- header %&gt;% 
+  filter(is.na(Country)) %&gt;% 
+  pull(PlotObservationID)
+
+header.shp.nocontry &lt;- header.shp[which(header.shp$PlotObservationID %in% tmp.sel),]
+countries.out &lt;- over(header.shp.nocontry, countries)
+
+header$Country &lt;- as.character(header$Country)
+header$Country[tmp.sel] &lt;- countries.out$NAME</code></pre>
+<pre><code>## Warning in header$Country[tmp.sel] &lt;- countries.out$NAME: number of items to
+## replace is not a multiple of replacement length</code></pre>
+<pre class="r"><code>header$Country &lt;- as.factor(header$Country)</code></pre>
+<p>Plots without country info are now only 4019.</p>
+</div>
 <div id="map-of-plots" class="section level1">
 <h1>5 Map of plots</h1>
+<p>Update header.shp</p>
+<pre class="r"><code>header.shp@data &lt;- header.shp@data %&gt;% 
+  left_join(header %&gt;% 
+          dplyr::select(PlotObservationID, sBiome, CONTINENT, 
+                        Ecoregion, GIVD.ID=`GIVD ID`), 
+            by=&quot;PlotObservationID&quot;) 
+
+header.sf &lt;- header.shp %&gt;% 
+  st_as_sf() %&gt;% 
+  st_transform(crs = &quot;+proj=eck4&quot;)</code></pre>
+<p>Basic Map of the world in Eckert projection</p>
 <pre class="r"><code>countries &lt;- ne_countries(returnclass = &quot;sf&quot;) %&gt;% 
   st_transform(crs = &quot;+proj=eck4&quot;) %&gt;% 
   st_geometry()
@@ -1729,7 +2065,7 @@ graticules &lt;- ne_download(type = &quot;graticules_15&quot;, category = &quot;
   st_transform(crs = &quot;+proj=eck4&quot;) %&gt;% 
   st_geometry()</code></pre>
 <pre><code>## OGR data source with driver: ESRI Shapefile 
-## Source: &quot;/data/sPlot/users/Francesco/_tmp/Rtmpi0p64q&quot;, layer: &quot;ne_110m_graticules_15&quot;
+## Source: &quot;/data/sPlot/users/Francesco/_tmp/RtmpCjhJeY&quot;, layer: &quot;ne_110m_graticules_15&quot;
 ## with 35 features
 ## It has 5 fields
 ## Integer64 fields read as strings:  degrees scalerank</code></pre>
@@ -1738,11 +2074,10 @@ graticules &lt;- ne_download(type = &quot;graticules_15&quot;, category = &quot;
   st_transform(crs = &quot;+proj=eck4&quot;) %&gt;% 
   st_geometry()</code></pre>
 <pre><code>## OGR data source with driver: ESRI Shapefile 
-## Source: &quot;/data/sPlot/users/Francesco/_tmp/Rtmpi0p64q&quot;, layer: &quot;ne_110m_wgs84_bounding_box&quot;
+## Source: &quot;/data/sPlot/users/Francesco/_tmp/RtmpCjhJeY&quot;, layer: &quot;ne_110m_wgs84_bounding_box&quot;
 ## with 1 features
 ## It has 2 fields</code></pre>
-<pre class="r"><code>## basic graph of the world in Eckert projection
-w3a &lt;- ggplot() +
+<pre class="r"><code>w3a &lt;- ggplot() +
   geom_sf(data = bb, col = &quot;grey20&quot;, fill = &quot;white&quot;) +
   geom_sf(data = graticules, col = &quot;grey20&quot;, lwd = 0.1) +
   geom_sf(data = countries, fill = &quot;grey90&quot;, col = NA, lwd = 0.3) +
@@ -1760,7 +2095,7 @@ w3a &lt;- ggplot() +
   filter(!is.na(Longitude) | !is.na(Latitude)) %&gt;% 
   dplyr::select(PlotObservationID, Latitude, Longitude, `GIVD ID`) %&gt;% 
   filter(!(abs(Longitude) &gt;171 &amp; abs(Latitude&gt;70)))
-dggs &lt;- dgconstruct(spacing=300, metric=T, resround='down')</code></pre>
+dggs &lt;- dgconstruct(spacing=300, metric=T, resround=&#39;down&#39;)</code></pre>
 <pre><code>## Resolution: 6, Area (km^2): 69967.8493448681, Spacing (km): 261.246386348549, CLS (km): 298.479323187169</code></pre>
 <pre class="r"><code>#Get the corresponding grid cells for each earthquake epicenter (lat-long pair)
 header2$cell &lt;- dgGEO_to_SEQNUM(dggs, header2$Longitude, header2$Latitude)$seqnum
@@ -1789,20 +2124,53 @@ legpos &lt;- c(0.160, .24)
     #labs(fill=&quot;# plots&quot;) + 
     theme(legend.position = legpos +c(-0.06, 0.25))
 )</code></pre>
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" width="768" style="display: block; margin: auto;" /></p>
 <pre class="r"><code>ggsave(filename=&quot;../_pics/PlotDensityLog10_vir.png&quot;, width = 15, height = 7, units=&quot;in&quot;, dpi=300, plot=w3)</code></pre>
 <p>Graph of plot location by Dataset</p>
-<pre class="r"><code>header.sf &lt;- header.shp %&gt;% 
-  st_as_sf() %&gt;% 
-  st_transform(crs = &quot;+proj=eck4&quot;)
-
-(w4 &lt;- w3a + 
+<pre class="r"><code>(w4 &lt;- w3a + 
          geom_sf(data=header.sf %&gt;% 
                    mutate(GIVD.ID=fct_shuffle(GIVD.ID)), aes(col=factor(GIVD.ID)), pch=16, size=0.8, alpha=0.6) +
          geom_sf(data = countries, col = &quot;grey10&quot;, fill=NA, lwd = 0.3) + 
          theme(legend.position = &quot;none&quot;))</code></pre>
-<p><img 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width="768" style="display: block; margin: auto;" /></p>
-<pre class="r"><code>ggsave(filename=&quot;../_pics/PlotDistrib_Dark2_shuffle1984.png&quot;, width = 15, height = 7, units=&quot;in&quot;, dpi=300, plot=w4) ## takes ~40' to render</code></pre>
+<p><img 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width="768" style="display: block; margin: auto;" /></p>
+<pre class="r"><code>ggsave(filename=&quot;../_pics/PlotDistrib_Dark2_shuffle1984.png&quot;, width = 15, height = 7, units=&quot;in&quot;, dpi=300, plot=w4) ## takes ~40&#39; to render</code></pre>
+<p>Double check attribution to continents, Biomes and Ecoregions. Do it only on a subset of plots</p>
+<pre class="r"><code>tmp.sel &lt;- header %&gt;% 
+  group_by(sBiome) %&gt;% 
+  sample_n(1000) %&gt;% 
+  pull(PlotObservationID)
+
+#sBiomes
+(w5 &lt;- w3a + 
+         geom_sf(data=header.sf %&gt;% 
+                   filter(PlotObservationID %in% tmp.sel), 
+                 aes(col=factor(sBiome)), pch=16, size=0.8, alpha=0.6) +
+         geom_sf(data = countries, col = &quot;grey10&quot;, fill=NA, lwd = 0.3))</code></pre>
+<p><img 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width="768" style="display: block; margin: auto;" /></p>
+<pre class="r"><code>#continent
+tmp.sel &lt;- header %&gt;%
+  filter(CONTINENT!=&quot;AN&quot;) %&gt;% 
+  group_by(CONTINENT) %&gt;% 
+  sample_n(1000) %&gt;% 
+  pull(PlotObservationID)
+(w6 &lt;- w3a + 
+         geom_sf(data=header.sf %&gt;% 
+                   filter(PlotObservationID %in% tmp.sel), 
+                 aes(col=factor(CONTINENT)), pch=16, size=0.8, alpha=0.6) +
+         geom_sf(data = countries, col = &quot;grey10&quot;, fill=NA, lwd = 0.3))</code></pre>
+<p><img src="data:image/png;base64,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width="768" style="display: block; margin: auto;" /></p>
+<pre class="r"><code>#Ecoregion - Only 10 random ecoregions tested
+tmp.sel &lt;- header %&gt;%
+  filter(Ecoregion %in% sample(unique(header$Ecoregion), 10)) %&gt;% 
+  pull(PlotObservationID)
+(w7 &lt;- w3a + 
+         geom_sf(data=header.sf %&gt;% 
+                   filter(PlotObservationID %in% tmp.sel) %&gt;% 
+                   mutate(Ecoregion=factor(Ecoregion)), 
+                 aes(col=factor(Ecoregion)), pch=16, size=0.8, alpha=0.6) +
+         geom_sf(data = countries, col = &quot;grey10&quot;, fill=NA, lwd = 0.3) + 
+    theme(legend.position=&quot;bottom&quot;))</code></pre>
+<p><img 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" width="768" style="display: block; margin: auto;" /></p>
 <div id="fix-output-and-export" class="section level2">
 <h2>6 Fix output and export</h2>
 <pre class="r"><code>#check 
@@ -1813,7 +2181,7 @@ nrow(header)==nrow(header0)</code></pre>
     #Metadata
     PlotObservationID, Dataset, &quot;GIVD ID&quot;, &quot;TV2 relevé number&quot;, &quot;ORIG_NUM&quot;, &quot;GUID&quot;, 
     #Geographic info
-    Longitude:&quot;Location uncertainty (m)&quot;, Country, CONTINENT, sBiome, sBiomeID, Locality,
+    Longitude:&quot;Location uncertainty (m)&quot;, Country, CONTINENT, sBiome, sBiomeID, Ecoregion, EcoregionID, Locality,
     #Methodological info
     &quot;Relevé area (m²)&quot;, &quot;Cover abundance scale&quot;, &quot;Date of recording&quot;, &quot;Plants recorded&quot;, 
     &quot;Herbs identified (y/n)&quot;,&quot;Mosses identified (y/n)&quot;,&quot;Lichens identified (y/n)&quot;,
@@ -1826,7 +2194,7 @@ nrow(header)==nrow(header0)</code></pre>
 save(header, file = &quot;../_output/header_sPlot3.0.RData&quot;)</code></pre>
 <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
 <caption>
-Example of header (first 20 rows)
+Example of header (20 random rows shown)
 </caption>
 <thead>
 <tr>
@@ -1842,7 +2210,7 @@ GIVD ID
 <th style="text-align:right;">
 TV2 relevé number
 </th>
-<th style="text-align:right;">
+<th style="text-align:left;">
 ORIG_NUM
 </th>
 <th style="text-align:left;">
@@ -1870,6 +2238,12 @@ sBiome
 sBiomeID
 </th>
 <th style="text-align:left;">
+Ecoregion
+</th>
+<th style="text-align:right;">
+EcoregionID
+</th>
+<th style="text-align:left;">
 Locality
 </th>
 <th style="text-align:right;">
@@ -1985,55 +2359,61 @@ Maximum height cryptogams (mm)
 <tbody>
 <tr>
 <td style="text-align:right;">
-1
+1767241
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Japan
 </td>
 <td style="text-align:left;">
-EU-AL-001
+AS-JP-002
 </td>
 <td style="text-align:right;">
-1
+37380
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-2089C3E0-6A5C-4D57-B83B-C651D7BADEE0
+13F424E1-083D-4BE2-A657-9A7C8748BD21
 </td>
 <td style="text-align:right;">
-19.39064
+139.000000
 </td>
 <td style="text-align:right;">
-41.86004
+36.00000
 </td>
 <td style="text-align:right;">
-15
+1000000
 </td>
 <td style="text-align:left;">
-Albania
+Japan
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
+</td>
+<td style="text-align:right;">
+6
+</td>
+<td style="text-align:left;">
+Taiheiyo evergreen forests
 </td>
 <td style="text-align:right;">
-4
+80440
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+NA
 </td>
 <td style="text-align:right;">
-3
+NA
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+Presence/Absence
 </td>
 <td style="text-align:left;">
-2012-06-26
+NA
 </td>
 <td style="text-align:left;">
 NA
@@ -2042,16 +2422,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:right;">
-2
+NA
 </td>
 <td style="text-align:right;">
-2
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2060,7 +2440,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-0
+1
 </td>
 <td style="text-align:right;">
 0
@@ -2069,16 +2449,16 @@ NA
 0
 </td>
 <td style="text-align:right;">
-1
+0
 </td>
 <td style="text-align:right;">
 0
 </td>
 <td style="text-align:right;">
-1
+NA
 </td>
 <td style="text-align:left;">
-C51a
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2090,7 +2470,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-90
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2123,7 +2503,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-150
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2137,55 +2517,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-2
+1987944
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+WA_Kwongan-associates_P Macintyre
 </td>
 <td style="text-align:left;">
-EU-AL-001
+AU-AU-XXX
 </td>
 <td style="text-align:right;">
-2
+5265
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-DD8ECD2E-BE9A-4F6F-8B1A-E5428EFAE462
+45ECC662-598B-4FEE-9E6C-D7BCA28FCD3D
 </td>
 <td style="text-align:right;">
-19.39028
+119.051613
 </td>
 <td style="text-align:right;">
-41.85990
+-30.89685
 </td>
 <td style="text-align:right;">
-15
+NA
 </td>
 <td style="text-align:left;">
-Albania
+Australia
 </td>
 <td style="text-align:left;">
-EU
+AU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Dry tropics and subtropics
 </td>
 <td style="text-align:right;">
-4
+3
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Coolgardie woodlands
 </td>
 <td style="text-align:right;">
-60
+11201
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Presence/Absence
 </td>
 <td style="text-align:left;">
-2012-06-26
+2012-01-01
 </td>
 <td style="text-align:left;">
 NA
@@ -2194,16 +2580,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:right;">
-2
+NA
 </td>
 <td style="text-align:right;">
-2
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2227,10 +2613,10 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-1
+NA
 </td>
 <td style="text-align:left;">
-?
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2242,7 +2628,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-90
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2275,7 +2661,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-160
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2289,55 +2675,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-3
+661720
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+France_SOPHY
 </td>
 <td style="text-align:left;">
-EU-AL-001
+EU-FR-003
 </td>
 <td style="text-align:right;">
-3
+106706
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-8F0D02F1-5DF1-40B0-AEBF-520B49FA54DC
+3538F837-E531-4439-B5EA-8C75623929B0
 </td>
 <td style="text-align:right;">
-19.37799
+2.551960
 </td>
 <td style="text-align:right;">
-41.84715
+46.56450
 </td>
 <td style="text-align:right;">
-15
+685000
 </td>
 <td style="text-align:left;">
-Albania
+France
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Western European broadleaf forests
 </td>
 <td style="text-align:right;">
-30
+80445
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+PONTCHARDON-SUR-TOUQUES
+</td>
+<td style="text-align:right;">
+NA
 </td>
 <td style="text-align:left;">
-2012-06-26
+Braun/Blanquet (old)
+</td>
+<td style="text-align:left;">
+1983-01-01
 </td>
 <td style="text-align:left;">
 NA
@@ -2346,10 +2738,10 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2358,10 +2750,10 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-160
+NA
 </td>
 <td style="text-align:right;">
-4
+NA
 </td>
 <td style="text-align:right;">
 0
@@ -2379,10 +2771,10 @@ NA
 0
 </td>
 <td style="text-align:right;">
-1
+2
 </td>
 <td style="text-align:left;">
-E
+E54
 </td>
 <td style="text-align:right;">
 NA
@@ -2394,7 +2786,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-45
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2427,7 +2819,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-30
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2441,55 +2833,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-4
+1799502
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Japan
 </td>
 <td style="text-align:left;">
-EU-AL-001
+AS-JP-002
 </td>
 <td style="text-align:right;">
-4
+69641
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-EC1B5E84-2B62-4FDA-B2A9-9D8E0B7A62B0
+6CD68FEE-5B63-4262-9B42-94C92CB22948
 </td>
 <td style="text-align:right;">
-19.37800
+141.870810
 </td>
 <td style="text-align:right;">
-41.84716
+42.73374
 </td>
 <td style="text-align:right;">
-15
+-10
 </td>
 <td style="text-align:left;">
-Albania
+Japan
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Hokkaido deciduous forests
 </td>
 <td style="text-align:right;">
-10
+80423
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+NA
+</td>
+<td style="text-align:right;">
+400.0
 </td>
 <td style="text-align:left;">
-2012-06-26
+Presence/Absence
+</td>
+<td style="text-align:left;">
+1983-01-01
 </td>
 <td style="text-align:left;">
 NA
@@ -2498,43 +2896,43 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:right;">
-NA
+16
 </td>
 <td style="text-align:right;">
-NA
+17
 </td>
 <td style="text-align:right;">
 NA
 </td>
 <td style="text-align:right;">
-NA
+0
 </td>
 <td style="text-align:right;">
-NA
+1
 </td>
 <td style="text-align:right;">
-NA
+0
 </td>
 <td style="text-align:right;">
-NA
+0
 </td>
 <td style="text-align:right;">
-NA
+0
 </td>
 <td style="text-align:right;">
-NA
+0
 </td>
 <td style="text-align:right;">
-1
+NA
 </td>
 <td style="text-align:left;">
-?
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2546,7 +2944,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-50
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2579,7 +2977,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-20
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2593,55 +2991,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-5
+841876
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Germany_vegetweb
 </td>
 <td style="text-align:left;">
-EU-AL-001
+EU-DE-013
 </td>
 <td style="text-align:right;">
-5
+92308
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-73CB0497-09D0-4DD8-A9BA-102C2A03931D
+DE36DF31-F6A3-4100-AA34-E2F76E895DA9
 </td>
 <td style="text-align:right;">
-19.38444
+7.495251
 </td>
 <td style="text-align:right;">
-41.86112
+51.29074
 </td>
 <td style="text-align:right;">
-15
+10
 </td>
 <td style="text-align:left;">
-Albania
+Germany
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Western European broadleaf forests
 </td>
 <td style="text-align:right;">
-80
+80445
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+Nordrhein-Westfalen; Hagen; Hagen-Dahl
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Percentage (%)
 </td>
 <td style="text-align:left;">
-2012-06-26
+1983-08-08
 </td>
 <td style="text-align:left;">
 NA
@@ -2650,22 +3054,22 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:right;">
-0
+362
 </td>
 <td style="text-align:right;">
-0
+359
 </td>
 <td style="text-align:right;">
-NA
+135
 </td>
 <td style="text-align:right;">
-NA
+2
 </td>
 <td style="text-align:right;">
 0
@@ -2683,22 +3087,22 @@ NA
 0
 </td>
 <td style="text-align:right;">
-1
+2
 </td>
 <td style="text-align:left;">
-E
+E22
 </td>
 <td style="text-align:right;">
 NA
 </td>
 <td style="text-align:right;">
-85
+NA
 </td>
 <td style="text-align:right;">
-5
+NA
 </td>
 <td style="text-align:right;">
-80
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2719,19 +3123,19 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-10
+NA
 </td>
 <td style="text-align:right;">
 NA
 </td>
 <td style="text-align:right;">
-20
+NA
 </td>
 <td style="text-align:right;">
 NA
 </td>
 <td style="text-align:right;">
-150
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2745,55 +3149,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-6
+946645
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Ireland_nvd
 </td>
 <td style="text-align:left;">
-EU-AL-001
+EU-IE-001
 </td>
 <td style="text-align:right;">
-6
+7187
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-BF2B97B9-ADDB-4E34-8B9B-08CB40392484
+7BC25DB4-8736-4D2A-98B4-F9760616347B
 </td>
 <td style="text-align:right;">
-19.43621
+-9.478401
 </td>
 <td style="text-align:right;">
-41.92741
+52.77862
 </td>
 <td style="text-align:right;">
-15
+100
 </td>
 <td style="text-align:left;">
-Albania
+Ireland
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Celtic broadleaf forests
 </td>
 <td style="text-align:right;">
-30
+80409
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+Lough Donnell, Quilty - Clare
+</td>
+<td style="text-align:right;">
+16.0
+</td>
+<td style="text-align:left;">
+Percentage (%)
 </td>
 <td style="text-align:left;">
-2012-06-27
+1996-01-01
 </td>
 <td style="text-align:left;">
 NA
@@ -2802,16 +3212,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:right;">
-0
+5
 </td>
 <td style="text-align:right;">
-2
+-4
 </td>
 <td style="text-align:right;">
 NA
@@ -2826,22 +3236,22 @@ NA
 0
 </td>
 <td style="text-align:right;">
-0
+1
 </td>
 <td style="text-align:right;">
-1
+0
 </td>
 <td style="text-align:right;">
 0
 </td>
 <td style="text-align:right;">
-1
+2
 </td>
 <td style="text-align:left;">
-C12b
+E34b
 </td>
 <td style="text-align:right;">
-NA
+100
 </td>
 <td style="text-align:right;">
 NA
@@ -2850,7 +3260,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-80
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -2897,55 +3307,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-7
+263296
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Czechia_nvd
 </td>
 <td style="text-align:left;">
-EU-AL-001
+EU-CZ-001
 </td>
 <td style="text-align:right;">
-7
+404332
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-DD3CACE3-AE62-4547-8718-C36EF8905E07
+96707E21-A0BA-49BB-BB01-5A022C24D7D6
 </td>
 <td style="text-align:right;">
-19.43625
+15.158333
 </td>
 <td style="text-align:right;">
-41.92736
+49.04444
 </td>
 <td style="text-align:right;">
-15
+-100
 </td>
 <td style="text-align:left;">
-Albania
+Czech Republic
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Western European broadleaf forests
 </td>
 <td style="text-align:right;">
-2
+80445
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+Eisenbahnstation Hůrky, über der Strasse
+</td>
+<td style="text-align:right;">
+15.0
+</td>
+<td style="text-align:left;">
+Braun/Blanquet (old)
 </td>
 <td style="text-align:left;">
-2012-06-27
+1978-07-17
 </td>
 <td style="text-align:left;">
 NA
@@ -2954,16 +3370,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+Y
 </td>
 <td style="text-align:left;">
-N
+Y
 </td>
 <td style="text-align:right;">
-0
+656
 </td>
 <td style="text-align:right;">
-2
+650
 </td>
 <td style="text-align:right;">
 NA
@@ -2987,13 +3403,13 @@ NA
 0
 </td>
 <td style="text-align:right;">
-1
+2
 </td>
 <td style="text-align:left;">
-E34b
+E34a
 </td>
 <td style="text-align:right;">
-NA
+98
 </td>
 <td style="text-align:right;">
 NA
@@ -3005,7 +3421,7 @@ NA
 98
 </td>
 <td style="text-align:right;">
-NA
+3
 </td>
 <td style="text-align:right;">
 NA
@@ -3035,7 +3451,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-2
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -3049,55 +3465,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-8
+1123456
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Netherlands
 </td>
 <td style="text-align:left;">
-EU-AL-001
+EU-NL-001
 </td>
 <td style="text-align:right;">
-8
+522149
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-B291F31F-3B13-4E4D-A7D2-72CE3BA396E9
+7EFC02FB-D0B1-41B6-AB98-BF27E5BFAA18
 </td>
 <td style="text-align:right;">
-19.43642
+6.308213
 </td>
 <td style="text-align:right;">
-41.92744
+52.80665
 </td>
 <td style="text-align:right;">
-15
+10
 </td>
 <td style="text-align:left;">
-Albania
+Netherlands
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Atlantic mixed forests
 </td>
 <td style="text-align:right;">
-30
+80402
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Tansley
 </td>
 <td style="text-align:left;">
-2012-06-27
+1988-05-14
 </td>
 <td style="text-align:left;">
 NA
@@ -3106,13 +3528,13 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:right;">
-0
+3
 </td>
 <td style="text-align:right;">
 2
@@ -3124,25 +3546,25 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-0
+NA
 </td>
 <td style="text-align:right;">
-0
+NA
 </td>
 <td style="text-align:right;">
-0
+NA
 </td>
 <td style="text-align:right;">
-1
+NA
 </td>
 <td style="text-align:right;">
-0
+NA
 </td>
 <td style="text-align:right;">
-1
+NA
 </td>
 <td style="text-align:left;">
-C51a
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -3154,7 +3576,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-100
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -3187,7 +3609,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-200
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -3201,55 +3623,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-9
+1343842
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Romania Grassland Database
 </td>
 <td style="text-align:left;">
-EU-AL-001
+EU-RO-008
 </td>
 <td style="text-align:right;">
-9
+16724
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-E831B7FA-E2DC-40A9-889F-AEA43717DDF1
+BEB1C4B0-89A2-489C-8A4A-A0A7A1CEFE1B
 </td>
 <td style="text-align:right;">
-19.43650
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 </td>
 <td style="text-align:right;">
-41.92738
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 </td>
 <td style="text-align:right;">
-15
+3000
 </td>
 <td style="text-align:left;">
-Albania
+Romania
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
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 </td>
 <td style="text-align:right;">
-5
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 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
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 </td>
 <td style="text-align:left;">
-2012-06-27
+1967-07-15
 </td>
 <td style="text-align:left;">
 NA
@@ -3258,16 +3686,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
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 </td>
 <td style="text-align:left;">
-N
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 </td>
 <td style="text-align:right;">
-0
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 </td>
 <td style="text-align:right;">
-2
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -3282,22 +3710,22 @@ NA
 0
 </td>
 <td style="text-align:right;">
-0
+1
 </td>
 <td style="text-align:right;">
 0
 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:left;">
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
 NA
@@ -3306,7 +3734,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-100
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 </td>
 <td style="text-align:right;">
 NA
@@ -3339,7 +3767,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-20
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -3353,55 +3781,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-10
+563449
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+France_SOPHY
 </td>
 <td style="text-align:left;">
-EU-AL-001
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 </td>
 <td style="text-align:right;">
-10
+4722
 </td>
-<td style="text-align:right;">
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 NA
 </td>
 <td style="text-align:left;">
-6B533118-D131-4094-964E-28F49257F3C4
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 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-41.92656
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 </td>
 <td style="text-align:right;">
-15
+-10
 </td>
 <td style="text-align:left;">
-Albania
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 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
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 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
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 </td>
 <td style="text-align:right;">
-15
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 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+REININGUE, PLATEAU AU NE ETANG
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 </td>
 <td style="text-align:left;">
-2012-06-27
+1983-01-01
 </td>
 <td style="text-align:left;">
 NA
@@ -3410,16 +3844,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
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 </td>
 <td style="text-align:left;">
-N
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 </td>
 <td style="text-align:right;">
-0
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 </td>
 <td style="text-align:right;">
-1
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 </td>
 <td style="text-align:right;">
 NA
@@ -3443,7 +3877,7 @@ NA
 0
 </td>
 <td style="text-align:right;">
-2
+3
 </td>
 <td style="text-align:left;">
 IE51
@@ -3458,7 +3892,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-100
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -3491,7 +3925,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-170
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -3505,55 +3939,58 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-11
+1350639
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
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 </td>
 <td style="text-align:left;">
-EU-AL-001
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 </td>
 <td style="text-align:right;">
-11
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 </td>
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 NA
 </td>
 <td style="text-align:left;">
-7B52E1CC-F89C-4790-AC4E-5781F912B4EE
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 <td style="text-align:right;">
-19.43363
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 </td>
 <td style="text-align:right;">
-41.92663
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 </td>
 <td style="text-align:right;">
-15
+375000
 </td>
 <td style="text-align:left;">
-Albania
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 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
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+50.0
 </td>
 <td style="text-align:left;">
-2012-06-27
+Braun/Blanquet (old)
 </td>
 <td style="text-align:left;">
 NA
@@ -3562,16 +3999,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
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 </td>
 <td style="text-align:left;">
-N
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 </td>
-<td style="text-align:right;">
-0
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 </td>
 <td style="text-align:right;">
-2
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 </td>
 <td style="text-align:right;">
 NA
@@ -3580,7 +4017,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-0
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 </td>
 <td style="text-align:right;">
 0
@@ -3595,13 +4032,16 @@ NA
 0
 </td>
 <td style="text-align:right;">
-1
+0
+</td>
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 </td>
 <td style="text-align:left;">
-C12b
+IE51
 </td>
 <td style="text-align:right;">
-NA
+60
 </td>
 <td style="text-align:right;">
 NA
@@ -3657,55 +4097,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-12
+880203
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Germany_vegmv
 </td>
 <td style="text-align:left;">
-EU-AL-001
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 </td>
 <td style="text-align:right;">
-12
+20678
 </td>
-<td style="text-align:right;">
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 NA
 </td>
 <td style="text-align:left;">
-02DB1195-8269-4998-8A60-F7727EF90835
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 <td style="text-align:right;">
-19.43156
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 </td>
 <td style="text-align:right;">
-41.92525
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 </td>
 <td style="text-align:right;">
-15
+3905
 </td>
 <td style="text-align:left;">
-Albania
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 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
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 </td>
 <td style="text-align:right;">
-5
+80405
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
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 </td>
 <td style="text-align:left;">
-2012-06-27
+1976-01-01
 </td>
 <td style="text-align:left;">
 NA
@@ -3720,10 +4166,10 @@ N
 N
 </td>
 <td style="text-align:right;">
-1
+30
 </td>
 <td style="text-align:right;">
-2
+23
 </td>
 <td style="text-align:right;">
 NA
@@ -3741,16 +4187,16 @@ NA
 0
 </td>
 <td style="text-align:right;">
-0
+1
 </td>
 <td style="text-align:right;">
-1
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 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:left;">
-C35e
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 </td>
 <td style="text-align:right;">
 NA
@@ -3762,7 +4208,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-100
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -3795,7 +4241,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-20
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -3809,55 +4255,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-13
+822841
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Germany_gvrd
 </td>
 <td style="text-align:left;">
-EU-AL-001
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 </td>
 <td style="text-align:right;">
-13
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 </td>
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 NA
 </td>
 <td style="text-align:left;">
-0909C93F-7D4A-4EE3-B8BD-9AFB7A3E9448
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 <td style="text-align:right;">
-19.43181
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 </td>
 <td style="text-align:right;">
-41.92531
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 </td>
 <td style="text-align:right;">
-15
+-10
 </td>
 <td style="text-align:left;">
-Albania
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 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
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 </td>
 <td style="text-align:right;">
-40
+80402
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
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 </td>
 <td style="text-align:left;">
-2012-06-27
+Reichelt&amp;Wilm.73_long
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 </td>
 <td style="text-align:left;">
 NA
@@ -3866,16 +4318,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
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 </td>
 <td style="text-align:right;">
-1
+51
 </td>
 <td style="text-align:right;">
-1
+42
 </td>
 <td style="text-align:right;">
 NA
@@ -3890,19 +4342,19 @@ NA
 0
 </td>
 <td style="text-align:right;">
-0
+1
 </td>
 <td style="text-align:right;">
-1
+0
 </td>
 <td style="text-align:right;">
 0
 </td>
 <td style="text-align:right;">
-1
+2
 </td>
 <td style="text-align:left;">
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 </td>
 <td style="text-align:right;">
 NA
@@ -3914,7 +4366,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-100
+85
 </td>
 <td style="text-align:right;">
 NA
@@ -3947,7 +4399,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-200
+1
 </td>
 <td style="text-align:right;">
 NA
@@ -3961,55 +4413,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-14
+318884
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
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 </td>
 <td style="text-align:left;">
-EU-AL-001
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 </td>
 <td style="text-align:right;">
-14
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 </td>
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 NA
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 <td style="text-align:left;">
-B9E2E198-A5FD-4500-9840-AE151EFAD6CE
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-41.92724
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 </td>
 <td style="text-align:right;">
-15
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 </td>
 <td style="text-align:left;">
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 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
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 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
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 </td>
 <td style="text-align:right;">
-20
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+<td style="text-align:left;">
+Hrušky (Břeclav), intravilán obce
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+2.0
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 <td style="text-align:left;">
 Braun/Blanquet (new)
 </td>
 <td style="text-align:left;">
-2012-06-27
+2000-05-15
 </td>
 <td style="text-align:left;">
 NA
@@ -4018,16 +4476,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
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 </td>
 <td style="text-align:left;">
-N
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 </td>
 <td style="text-align:right;">
-0
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 </td>
 <td style="text-align:right;">
-0
+175
 </td>
 <td style="text-align:right;">
 NA
@@ -4051,13 +4509,13 @@ NA
 0
 </td>
 <td style="text-align:right;">
-2
+3
 </td>
 <td style="text-align:left;">
 IE51
 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
 NA
@@ -4066,7 +4524,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-100
+50
 </td>
 <td style="text-align:right;">
 NA
@@ -4099,7 +4557,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-180
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 </td>
 <td style="text-align:right;">
 NA
@@ -4113,55 +4571,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-15
+1114255
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
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 </td>
 <td style="text-align:left;">
-EU-AL-001
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 </td>
 <td style="text-align:right;">
-15
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 </td>
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 NA
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 <td style="text-align:left;">
-E07F1B54-5A6D-44F3-B503-00E7F9840C69
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-41.91412
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 </td>
 <td style="text-align:right;">
-15
+180000
 </td>
 <td style="text-align:left;">
-Albania
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 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Atlantic mixed forests
 </td>
 <td style="text-align:right;">
-5
+80402
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+NA
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+<td style="text-align:right;">
+4.0
 </td>
 <td style="text-align:left;">
 Braun/Blanquet (new)
 </td>
 <td style="text-align:left;">
-2012-06-27
+1999-09-29
 </td>
 <td style="text-align:left;">
 NA
@@ -4170,22 +4634,22 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
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 </td>
 <td style="text-align:left;">
-N
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 </td>
 <td style="text-align:right;">
-10
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 </td>
 <td style="text-align:right;">
-8
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 </td>
 <td style="text-align:right;">
-40
+NA
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
 0
@@ -4194,10 +4658,10 @@ N
 0
 </td>
 <td style="text-align:right;">
-1
+0
 </td>
 <td style="text-align:right;">
-0
+1
 </td>
 <td style="text-align:right;">
 0
@@ -4206,10 +4670,10 @@ N
 1
 </td>
 <td style="text-align:left;">
-IE51
+D12
 </td>
 <td style="text-align:right;">
-NA
+50
 </td>
 <td style="text-align:right;">
 NA
@@ -4218,10 +4682,10 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-90
+40
 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
 NA
@@ -4251,7 +4715,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-20
+10
 </td>
 <td style="text-align:right;">
 NA
@@ -4265,55 +4729,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-16
+1347141
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
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 </td>
 <td style="text-align:left;">
-EU-AL-001
+EU-RO-008
 </td>
 <td style="text-align:right;">
-16
+20031
 </td>
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 NA
 </td>
 <td style="text-align:left;">
-5CDF9483-6D2A-4A47-ADCD-59D5F405BE2F
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 <td style="text-align:right;">
-19.44207
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 </td>
 <td style="text-align:right;">
-41.91515
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 </td>
 <td style="text-align:right;">
-15
+5000
 </td>
 <td style="text-align:left;">
-Albania
+Romania
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Carpathian montane forests
 </td>
 <td style="text-align:right;">
-50
+80504
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
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+NA
 </td>
 <td style="text-align:left;">
-2012-06-27
+Braun/Blanquet (old)
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+<td style="text-align:left;">
+1973-01-01
 </td>
 <td style="text-align:left;">
 NA
@@ -4322,55 +4792,55 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
+Y
 </td>
 <td style="text-align:right;">
-15
+1121
 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-20
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 </td>
 <td style="text-align:right;">
-10
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 </td>
 <td style="text-align:right;">
-0
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 </td>
 <td style="text-align:right;">
-1
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 </td>
 <td style="text-align:right;">
-0
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 </td>
 <td style="text-align:right;">
-0
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 </td>
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-0
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 </td>
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-1
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 </td>
 <td style="text-align:left;">
-F31e
+?
 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
 NA
 </td>
 <td style="text-align:right;">
-100
+NA
 </td>
 <td style="text-align:right;">
-5
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -4397,7 +4867,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-25
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -4417,55 +4887,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-17
+797058
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Germany_gvrd
 </td>
 <td style="text-align:left;">
-EU-AL-001
+EU-DE-014
 </td>
 <td style="text-align:right;">
-17
+63155
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-CE9629F3-6FD8-4778-8DAE-DA9C95B65EEE
+A6B33E39-BB95-43A0-9494-62AAC434D9D6
 </td>
 <td style="text-align:right;">
-19.44046
+12.124970
 </td>
 <td style="text-align:right;">
-41.91133
+50.32502
 </td>
 <td style="text-align:right;">
-15
+-10
 </td>
 <td style="text-align:left;">
-Albania
+Germany
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Western European broadleaf forests
 </td>
 <td style="text-align:right;">
-50
+80445
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+1 km sö. Neutschau
+</td>
+<td style="text-align:right;">
+27.0
 </td>
 <td style="text-align:left;">
-2012-06-27
+Braun/Blanquet (old)
+</td>
+<td style="text-align:left;">
+1988-01-01
 </td>
 <td style="text-align:left;">
 NA
@@ -4474,16 +4950,16 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:right;">
-22
+600
 </td>
 <td style="text-align:right;">
-16
+545
 </td>
 <td style="text-align:right;">
 NA
@@ -4492,13 +4968,13 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-1
+0
 </td>
 <td style="text-align:right;">
 0
 </td>
 <td style="text-align:right;">
-0
+1
 </td>
 <td style="text-align:right;">
 0
@@ -4507,22 +4983,22 @@ NA
 0
 </td>
 <td style="text-align:right;">
-1
+2
 </td>
 <td style="text-align:left;">
-G17a
+E22
 </td>
 <td style="text-align:right;">
 NA
 </td>
 <td style="text-align:right;">
-90
+NA
 </td>
 <td style="text-align:right;">
-15
+NA
 </td>
 <td style="text-align:right;">
-10
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -4540,16 +5016,16 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-50
+NA
 </td>
 <td style="text-align:right;">
-5
+NA
 </td>
 <td style="text-align:right;">
 NA
 </td>
 <td style="text-align:right;">
-20
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -4569,55 +5045,58 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-18
+150505
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Britain_nvcd
 </td>
 <td style="text-align:left;">
-EU-AL-001
+EU-GB-001
 </td>
 <td style="text-align:right;">
-18
+498
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-EB1441EC-7B95-4806-819C-56BA8C50A7EC
+3F0096FE-29C2-48C0-AF69-645EF5EB7AE4
 </td>
 <td style="text-align:right;">
-19.44037
+-9.000000
 </td>
 <td style="text-align:right;">
-41.91150
+53.40000
 </td>
 <td style="text-align:right;">
-15
+620000
 </td>
 <td style="text-align:left;">
-Albania
+United Kingdom
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Celtic broadleaf forests
 </td>
 <td style="text-align:right;">
-80
+80409
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+NA
+</td>
+<td style="text-align:right;">
+NA
 </td>
 <td style="text-align:left;">
-2012-06-27
+Domin
 </td>
 <td style="text-align:left;">
 NA
@@ -4626,16 +5105,19 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
+NA
+</td>
+<td style="text-align:left;">
+NA
 </td>
 <td style="text-align:right;">
-14
+NA
 </td>
 <td style="text-align:right;">
-24
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -4644,34 +5126,34 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-1
+NA
 </td>
 <td style="text-align:right;">
-0
+NA
 </td>
 <td style="text-align:right;">
-0
+NA
 </td>
 <td style="text-align:right;">
-0
+NA
 </td>
 <td style="text-align:right;">
-0
+NA
 </td>
 <td style="text-align:right;">
-1
+NA
 </td>
 <td style="text-align:left;">
-G17a
+?
 </td>
 <td style="text-align:right;">
 NA
 </td>
 <td style="text-align:right;">
-100
+NA
 </td>
 <td style="text-align:right;">
-1
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -4692,16 +5174,16 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-5
+NA
 </td>
 <td style="text-align:right;">
-6
+NA
 </td>
 <td style="text-align:right;">
 NA
 </td>
 <td style="text-align:right;">
-20
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -4721,55 +5203,58 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-19
+20033
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Austria_VINCA
 </td>
 <td style="text-align:left;">
-EU-AL-001
+EU-AT-001
 </td>
 <td style="text-align:right;">
-19
+57715
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-19AB31F4-9039-4E18-A60F-BFC191EEC8E5
+073142BB-329F-4C55-9759-7F54B99F0142
 </td>
 <td style="text-align:right;">
-19.43523
+14.140190
 </td>
 <td style="text-align:right;">
-41.90469
+47.59290
 </td>
 <td style="text-align:right;">
-15
+290000
 </td>
 <td style="text-align:left;">
-Albania
+Austria
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Alps conifer and mixed forests
 </td>
 <td style="text-align:right;">
-50
+80501
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+Gampberg-Nenzing
+</td>
+<td style="text-align:right;">
+NA
 </td>
 <td style="text-align:left;">
-2012-06-27
+Braun-Blanquet (old)
 </td>
 <td style="text-align:left;">
 NA
@@ -4778,22 +5263,25 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
+Y
+</td>
+<td style="text-align:left;">
+NA
 </td>
 <td style="text-align:right;">
-26
+NA
 </td>
 <td style="text-align:right;">
-21
+1430
 </td>
 <td style="text-align:right;">
-180
+113
 </td>
 <td style="text-align:right;">
-15
+85
 </td>
 <td style="text-align:right;">
 1
@@ -4814,19 +5302,19 @@ N
 1
 </td>
 <td style="text-align:left;">
-G17a
+G31a
 </td>
 <td style="text-align:right;">
 NA
 </td>
 <td style="text-align:right;">
-100
+NA
 </td>
 <td style="text-align:right;">
-90
+NA
 </td>
 <td style="text-align:right;">
-1
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -4847,13 +5335,13 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-8
+NA
 </td>
 <td style="text-align:right;">
 NA
 </td>
 <td style="text-align:right;">
-20
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -4873,55 +5361,61 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-20
+356250
 </td>
 <td style="text-align:left;">
-Albanian Vegetation Database
+Denmark
 </td>
 <td style="text-align:left;">
-EU-AL-001
+EU-DK-002
 </td>
 <td style="text-align:right;">
-20
+26416
 </td>
-<td style="text-align:right;">
+<td style="text-align:left;">
 NA
 </td>
 <td style="text-align:left;">
-EBADE079-7015-4486-B1F7-72BDB235FE50
+2478228F-04DA-4D3A-B54C-23FB44DB2B5D
 </td>
 <td style="text-align:right;">
-19.44371
+8.590641
 </td>
 <td style="text-align:right;">
-41.89758
+57.11473
 </td>
 <td style="text-align:right;">
 15
 </td>
 <td style="text-align:left;">
-Albania
+Denmark
 </td>
 <td style="text-align:left;">
 EU
 </td>
 <td style="text-align:left;">
-Subtropics with winter rain
+Temperate midlatitudes
 </td>
 <td style="text-align:right;">
-4
+6
 </td>
 <td style="text-align:left;">
-Buna River Protected Landscape
+Baltic mixed forests
 </td>
 <td style="text-align:right;">
-80
+80405
 </td>
 <td style="text-align:left;">
-Braun/Blanquet (new)
+NA
+</td>
+<td style="text-align:right;">
+78.5
+</td>
+<td style="text-align:left;">
+Presence/Absence
 </td>
 <td style="text-align:left;">
-2012-06-27
+2006-01-01
 </td>
 <td style="text-align:left;">
 NA
@@ -4930,43 +5424,43 @@ NA
 NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:left;">
-N
+NA
 </td>
 <td style="text-align:right;">
-25
+NA
 </td>
 <td style="text-align:right;">
-13
+16
 </td>
 <td style="text-align:right;">
-180
+NA
 </td>
 <td style="text-align:right;">
-15
+NA
 </td>
 <td style="text-align:right;">
-0
+NA
 </td>
 <td style="text-align:right;">
-1
+NA
 </td>
 <td style="text-align:right;">
-0
+NA
 </td>
 <td style="text-align:right;">
-0
+NA
 </td>
 <td style="text-align:right;">
-0
+NA
 </td>
 <td style="text-align:right;">
-1
+NA
 </td>
 <td style="text-align:left;">
-Fa
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -4975,7 +5469,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-90
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -5005,7 +5499,7 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-17
+NA
 </td>
 <td style="text-align:right;">
 NA
@@ -5047,7 +5541,8 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
   require(doParallel)
   require(raster)
   require(rgeos)
-  require(rgdal) 
+  require(rgdal)
+  require(geosphere) 
  
   print(paste(&quot;Loading&quot;, typp, &quot;data :&quot;, toextract))
   print(paste(&quot;output will be:&quot;, output))
@@ -5068,6 +5563,7 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
     } 
 
   print(&quot;myfunction defined as&quot;)
+  myfunction &lt;- get(myfunction)
   print(myfunction)
   
   print(&quot;go parallel&quot;)
@@ -5076,7 +5572,7 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
 
   print(&quot;start main foreach loop&quot;)
   if(typp==&quot;raster&quot;){
-  out &lt;- foreach(i=1:length(header.shp), .packages=c('raster'), .combine=rbind) %dopar% { 
+  out &lt;- foreach(i=1:length(header.shp), .packages=c(&#39;raster&#39;), .combine=rbind) %dopar% { 
     tmp &lt;- raster::extract(mypredictor, header.shp[i,], 
                          buffer=min(10000,  max(250, header.shp@data$lc_ncrt[i])), fun=myfunction) 
   }
@@ -5084,10 +5580,10 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
   } else {
     out &lt;- sp::over(x=header.shp, y=mypredictor) 
     toassign &lt;- header.shp[which(is.na(out[,1])),]
-    print(paste(length(toassign), &quot;plots not matched directely - seek for NN&quot;))
+    print(paste(length(toassign), &quot;plots not matched directly - seek for NN&quot;))
   if(length(toassign)&gt;0){
     
-    nearest &lt;- foreach(i=1:length(toassign), .packages=c('raster'), .combine=rbind) %dopar% { 
+    nearest &lt;- foreach(i=1:length(toassign), .packages=c(&#39;raster&#39;), .combine=rbind) %dopar% { 
       print(i)
       nearest.tmp &lt;- tryCatch(geosphere::dist2Line(header.shp[i,], mypredictor),
                               error = function(e){data.frame(distance=NA, lon=NA, lat=NA,ID=NA)}
@@ -5189,7 +5685,7 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
     )
     if(!exists(&quot;raster.tile&quot;)) {
       raster.tile &lt;- NA
-      print(paste(&quot;tile&quot;, i, &quot;doesn't work!, skip to next&quot;))
+      print(paste(&quot;tile&quot;, i, &quot;doesn&#39;t work!, skip to next&quot;))
       save(raster.tile, file = paste(output, &quot;elevation_tile_&quot;, i, &quot;failed.RData&quot;, sep=&quot;&quot;))
       rm(raster.tile)
       } else {
@@ -5226,7 +5722,7 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
 <pre class="r"><code>sessionInfo()</code></pre>
 <pre><code>## R version 3.6.3 (2020-02-29)
 ## Platform: x86_64-pc-linux-gnu (64-bit)
-## Running under: Ubuntu 16.04.6 LTS
+## Running under: Ubuntu 16.04.7 LTS
 ## 
 ## Matrix products: default
 ## BLAS:   /usr/lib/openblas-base/libblas.so.3
@@ -5244,33 +5740,33 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
 ## [1] stats     graphics  grDevices utils     datasets  methods   base     
 ## 
 ## other attached packages:
-##  [1] dggridR_2.0.3       rnaturalearth_0.1.0 sf_0.7-4           
+##  [1] dggridR_2.0.3       rnaturalearth_0.2.0 sf_0.9-3           
 ##  [4] elevatr_0.2.0       rworldmap_1.3-6     raster_3.0-7       
-##  [7] rgeos_0.5-2         rgdal_1.4-3         sp_1.4-1           
-## [10] kableExtra_1.1.0    knitr_1.28          xlsx_0.6.3         
+##  [7] rgeos_0.5-5         rgdal_1.5-18        sp_1.4-4           
+## [10] kableExtra_1.3.1    knitr_1.30          xlsx_0.6.5         
 ## [13] viridis_0.5.1       viridisLite_0.3.0   forcats_0.5.0      
-## [16] stringr_1.4.0       dplyr_0.8.5         purrr_0.3.3        
-## [19] readr_1.3.1         tidyr_1.0.2         tibble_2.1.3       
+## [16] stringr_1.4.0       dplyr_1.0.2         purrr_0.3.4        
+## [19] readr_1.4.0         tidyr_1.1.2         tibble_3.0.1       
 ## [22] ggplot2_3.3.0       tidyverse_1.3.0    
 ## 
 ## loaded via a namespace (and not attached):
-##  [1] httr_1.4.1         maps_3.3.0         jsonlite_1.6.1     dotCall64_1.0-0   
+##  [1] httr_1.4.2         maps_3.3.0         jsonlite_1.7.1     dotCall64_1.0-0   
 ##  [5] modelr_0.1.6       assertthat_0.2.1   highr_0.8          xlsxjars_0.6.1    
-##  [9] cellranger_1.1.0   yaml_2.2.1         pillar_1.4.2       backports_1.1.5   
-## [13] lattice_0.20-40    glue_1.3.1         digest_0.6.23      rvest_0.3.5       
-## [17] colorspace_1.4-1   htmltools_0.4.0    pkgconfig_2.0.3    broom_0.5.5       
-## [21] haven_2.2.0        scales_1.1.0       webshot_0.5.2      farver_2.0.3      
-## [25] generics_0.0.2     withr_2.1.2        cli_2.0.2          magrittr_1.5      
-## [29] crayon_1.3.4       readxl_1.3.1       maptools_0.9-9     evaluate_0.14     
-## [33] fs_1.3.2           fansi_0.4.1        nlme_3.1-145       class_7.3-15      
-## [37] xml2_1.2.2         foreign_0.8-76     tools_3.6.3        hms_0.5.3         
-## [41] lifecycle_0.2.0    munsell_0.5.0      reprex_0.3.0       e1071_1.7-3       
-## [45] compiler_3.6.3     rlang_0.4.4        units_0.6-5        classInt_0.4-2    
-## [49] grid_3.6.3         rstudioapi_0.11    spam_2.5-1         rmarkdown_2.1     
-## [53] gtable_0.3.0       codetools_0.2-16   DBI_1.1.0          R6_2.4.1          
-## [57] gridExtra_2.3      lubridate_1.7.4    rworldxtra_1.01    KernSmooth_2.23-16
-## [61] rJava_0.9-11       stringi_1.4.6      Rcpp_1.0.3         fields_10.3       
-## [65] vctrs_0.2.3        dbplyr_1.4.2       tidyselect_1.0.0   xfun_0.12</code></pre>
+##  [9] cellranger_1.1.0   yaml_2.2.1         pillar_1.4.3       backports_1.2.0   
+## [13] lattice_0.20-41    glue_1.4.2         digest_0.6.25      rvest_0.3.6       
+## [17] colorspace_2.0-0   htmltools_0.5.0    pkgconfig_2.0.3    broom_0.7.0       
+## [21] haven_2.3.1        scales_1.1.1       webshot_0.5.2      farver_2.0.3      
+## [25] generics_0.1.0     ellipsis_0.3.1     withr_2.3.0        cli_2.2.0         
+## [29] magrittr_2.0.1     crayon_1.3.4       readxl_1.3.1       maptools_1.0-2    
+## [33] evaluate_0.14      fs_1.5.0           fansi_0.4.1        class_7.3-17      
+## [37] xml2_1.3.2         foreign_0.8-76     tools_3.6.3        hms_0.5.3         
+## [41] lifecycle_0.2.0    munsell_0.5.0      reprex_0.3.0       e1071_1.7-4       
+## [45] compiler_3.6.3     rlang_0.4.8        units_0.6-7        classInt_0.4-3    
+## [49] grid_3.6.3         rstudioapi_0.13    spam_2.5-1         rmarkdown_2.5     
+## [53] gtable_0.3.0       codetools_0.2-18   DBI_1.1.0          R6_2.5.0          
+## [57] gridExtra_2.3      lubridate_1.7.9.2  rworldxtra_1.01    KernSmooth_2.23-18
+## [61] rJava_0.9-13       stringi_1.5.3      Rcpp_1.0.5         fields_11.6       
+## [65] vctrs_0.3.5        dbplyr_2.0.0       tidyselect_1.1.0   xfun_0.19</code></pre>
 </div>
 </div>
 </div>
@@ -5284,7 +5780,7 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
 
 // add bootstrap table styles to pandoc tables
 function bootstrapStylePandocTables() {
-  $('tr.header').parent('thead').parent('table').addClass('table table-condensed');
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
 }
 $(document).ready(function () {
   bootstrapStylePandocTables();
diff --git a/public/05_ExtractEnvironment.html b/public/05_ExtractEnvironment.html
index bb9449342bb62c9c3fdc12cce129de3fde0a094c..3f19047e7668482872c763abeb7d343743e2cd81 100644
--- a/public/05_ExtractEnvironment.html
+++ b/public/05_ExtractEnvironment.html
@@ -208,6 +208,45 @@ color: #d14;
 }
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+}
+.lightable-paper tfoot tr:first-child td {
+border-top: 1px solid #00000020;
+}
+.lightable-paper thead tr:last-child th {
+color: #666;
+vertical-align: bottom;
+border-bottom: 1px solid #00000020;
+line-height: 1.15em;
+padding: 10px 5px;
+}
+.lightable-paper td {
+vertical-align: middle;
+border-bottom: 1px solid #00000010;
+line-height: 1.15em;
+padding: 7px 5px;
+}
+.lightable-paper.lightable-hover tbody tr:hover {
+background-color: #F9EEC1;
+}
+.lightable-paper.lightable-striped tbody tr:nth-child(even) {
+background-color: #00000008;
+}
+.lightable-paper.lightable-striped tbody td {
+border: 0;
+}
+</style>
+
+<style type="text/css">
+  code{white-space: pre-wrap;}
+  span.smallcaps{font-variant: small-caps;}
+  span.underline{text-decoration: underline;}
+  div.column{display: inline-block; vertical-align: top; width: 50%;}
+  div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+  ul.task-list{list-style: none;}
+    </style>
 
 <style type="text/css">code{white-space: pre;}</style>
 <style type="text/css">
@@ -381,7 +644,7 @@ summary {
 <center>
 <img 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" title="sPlot Logo" />
 </center>
-<p><strong>Timestamp:</strong> Sun Mar 15 13:56:24 2020<br />
+<p><strong>Timestamp:</strong> Fri Nov 27 16:35:00 2020<br />
 <strong>Drafted:</strong> Francesco Maria Sabatini<br />
 <strong>Revised:</strong><br />
 <strong>version:</strong> 1.0</p>
@@ -401,18 +664,15 @@ library(sf)
 library(rgeos)
 library(raster)
 library(rworldmap)
-#library(elevatr)
-#library(rnaturalearth)
-#library(dggridR)
 
 source(&quot;A98_PredictorsExtract.R&quot;)
 
 #save temporary files
-write(&quot;TMPDIR = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.getenv('TMPDIR'), '.Renviron'))
-write(&quot;R_USER = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.getenv('R_USER'), '.Renviron'))
+write(&quot;TMPDIR = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.getenv(&#39;TMPDIR&#39;), &#39;.Renviron&#39;))
+write(&quot;R_USER = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.getenv(&#39;R_USER&#39;), &#39;.Renviron&#39;))
 rasterOptions(tmpdir=&quot;/data/sPlot/users/Francesco/_tmp&quot;)
 
-#Ancillary variables
+#Ancillary functions
 get.summary &lt;- function(x){x %&gt;% 
     summarize_all(.funs=list(num.NAs=~sum(is.na(.)), 
                              min=~min(., na.rm=T),
@@ -430,7 +690,7 @@ get.summary &lt;- function(x){x %&gt;%
 <div id="import-header-data" class="section level2">
 <h2>1 Import header data</h2>
 <pre class="r"><code>load(&quot;../_output/header_sPlot3.0.RData&quot;)</code></pre>
-<p>Create spatial point dataframe for sPlot data to intersect with spatial layers. Include the fiels <code>Location uncertainty</code> to allow for fuzzy matching. Each plot was intersected with the corresponding layer of environmental (soil, climate) attributes accounting for their location uncertainty (minimum set to 250m). For computing reasons, the maximum location uncertainty was set to 10km. The user should therefore be aware that the variability in climate and soil features estimations may be underestimated for plots with very high location uncertainty.</p>
+<p>Create spatial point dataframe for sPlot data to intersect with spatial layers. Include the fields <code>Location uncertainty</code> to allow for fuzzy matching. Each plot was intersected with the corresponding layer of environmental (soil, climate) attributes accounting for their location uncertainty (minimum set to 250m). For computing reasons, the maximum location uncertainty was set to 10km. The user should therefore be aware that the variability in climate and soil features estimations may be underestimated for plots with very high location uncertainty.</p>
 <pre class="r"><code>header.shp &lt;- header %&gt;%
   filter(!is.na(Longitude) | !is.na(Latitude))
 header.shp &lt;- SpatialPointsDataFrame(coords= header.shp %&gt;% 
@@ -479,7 +739,12 @@ for(i in 1:19){
            mode = &quot;wb&quot;)
 }</code></pre>
 <p>Intersect <code>header.shp</code> with each raster of the CHELSA collection.<br />
-Performed in EVE HPC cluster using function <code>A98_PredictorsExtract.R</code>. Divided in 99 chunks.</p>
+Performed in EVE HPC cluster using function <code>A98_PredictorsExtract.R</code>. <del>Divided in 99 chunks.</del></p>
+<pre class="shell"><code>#make sure to setup the right function (robust.mean\robust.sd) and the correct file type (raster) in submit-A98.sh 
+for pred in ls /data/splot/_data/Predictors/*.tif
+do
+qsub submit-A98.sh $pred
+done </code></pre>
 <pre class="r"><code>header.shp.path &lt;- &quot;../_derived/header.shp.shp&quot;
 
 for(i in 1:19){
@@ -1725,7 +1990,7 @@ download(url.pH, &quot;/data/sPlot/users/Francesco/Ancillary_Data/ISRIC/PHIHOX_M
 download(url.slt, &quot;/data/sPlot/users/Francesco/Ancillary_Data/ISRIC/SLTPPT_M_sl2_250m_ll.tif&quot;, mode = &quot;wb&quot;)
 download(url.snd, &quot;/data/sPlot/users/Francesco/Ancillary_Data/ISRIC/SNDPPT_M_sl2_250m_ll.tif&quot;, mode = &quot;wb&quot;)</code></pre>
 <p>Intersect <code>header.shp</code> with each raster of the ISRIC collection.<br />
-Performed in EVE HPC cluster using function <code>A98_PredictorsExtract.R</code>. Divided in 99 chunks.</p>
+Performed in EVE HPC cluster using function <code>A98_PredictorsExtract.R</code>. <del>Divided in 99 chunks.</del></p>
 <pre class="r"><code>for(i in 1:8){
   ff &lt;- list.files(&quot;/data/sPlot/users/Francesco/Ancillary_Data/ISRIC/&quot;, 
                                 pattern = &quot;^[^(Gene)]&quot;, full.names = T)[i]
@@ -2516,76 +2781,76 @@ SNDPPTsd
 <tbody>
 <tr>
 <td style="text-align:right;">
-1448180
+539861
 </td>
 <td style="text-align:right;">
-443
+357
 </td>
 <td style="text-align:right;">
-443
+357
 </td>
 <td style="text-align:right;">
-443
+357
 </td>
 <td style="text-align:right;">
 153
 </td>
 <td style="text-align:right;">
-77.000
+97.000
 </td>
 <td style="text-align:right;">
-76.000
+79.000
 </td>
 <td style="text-align:right;">
-259.000
+260.000
 </td>
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 NA
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 <td style="text-align:right;">
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 </tr>
 <tr>
 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 153
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 NA
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 NA
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 <td style="text-align:right;">
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 <tr>
 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 153
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 NA
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 NA
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
 NA
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 <td style="text-align:right;">
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+144.000
 </td>
 <td style="text-align:right;">
 NA
@@ -5688,410 +5953,410 @@ NA
 NA
 </td>
 <td style="text-align:right;">
-684.800
+611.167
 </td>
 <td style="text-align:right;">
-19.600
+13.667
 </td>
 <td style="text-align:right;">
-17.600
+7.333
 </td>
 <td style="text-align:right;">
-14.000
+4.500
 </td>
 <td style="text-align:right;">
-79.400
+38.500
 </td>
 <td style="text-align:right;">
-53.600
+57.500
 </td>
 <td style="text-align:right;">
-32.600
+22.500
 </td>
 <td style="text-align:right;">
-49.600
+69.833
 </td>
 <td style="text-align:right;">
-16.784
+60.806
 </td>
 <td style="text-align:right;">
-0.894
+1.033
 </td>
 <td style="text-align:right;">
-0.548
+0.816
 </td>
 <td style="text-align:right;">
-0.000
+0.837
 </td>
 <td style="text-align:right;">
-5.857
+4.680
 </td>
 <td style="text-align:right;">
-0.548
+1.049
 </td>
 <td style="text-align:right;">
-0.894
+0.837
 </td>
 <td style="text-align:right;">
-1.342
+0.983
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-863637
+1708947
 </td>
 <td style="text-align:right;">
-76
+NA
 </td>
 <td style="text-align:right;">
-62
+NA
 </td>
 <td style="text-align:right;">
-92
+NA
 </td>
 <td style="text-align:right;">
-153
+NA
 </td>
 <td style="text-align:right;">
-88.447
+100.000
 </td>
 <td style="text-align:right;">
-63.372
+95.000
 </td>
 <td style="text-align:right;">
-259.596
+297.000
 </td>
 <td style="text-align:right;">
-6491.521
+7672.000
 </td>
 <td style="text-align:right;">
-222.723
+258.000
 </td>
 <td style="text-align:right;">
--21.468
+-60.000
 </td>
 <td style="text-align:right;">
-244.330
+318.000
 </td>
 <td style="text-align:right;">
-159.426
+89.000
 </td>
 <td style="text-align:right;">
-3.947
+174.000
 </td>
 <td style="text-align:right;">
-179.191
+200.000
 </td>
 <td style="text-align:right;">
-3.947
+-10.000
 </td>
 <td style="text-align:right;">
-578.574
+547.000
 </td>
 <td style="text-align:right;">
-66.436
+98.000
 </td>
 <td style="text-align:right;">
-33.330
+4.000
 </td>
 <td style="text-align:right;">
-19.766
+67.000
 </td>
 <td style="text-align:right;">
-188.202
+266.000
 </td>
 <td style="text-align:right;">
-111.064
+12.000
 </td>
 <td style="text-align:right;">
-174.660
+20.000
 </td>
 <td style="text-align:right;">
-111.064
+161.000
 </td>
 <td style="text-align:right;">
-0.541
+NA
 </td>
 <td style="text-align:right;">
-0.486
+NA
 </td>
 <td style="text-align:right;">
-0.661
+NA
 </td>
 <td style="text-align:right;">
-6.528
+NA
 </td>
 <td style="text-align:right;">
-0.612
+NA
 </td>
 <td style="text-align:right;">
-0.562
+NA
 </td>
 <td style="text-align:right;">
-0.473
+NA
 </td>
 <td style="text-align:right;">
-12.279
+NA
 </td>
 <td style="text-align:right;">
-0.575
+NA
 </td>
 <td style="text-align:right;">
-0.554
+NA
 </td>
 <td style="text-align:right;">
-0.575
+NA
 </td>
 <td style="text-align:right;">
-14.924
+NA
 </td>
 <td style="text-align:right;">
-1.829
+NA
 </td>
 <td style="text-align:right;">
-0.988
+NA
 </td>
 <td style="text-align:right;">
-0.557
+NA
 </td>
 <td style="text-align:right;">
-4.979
+NA
 </td>
 <td style="text-align:right;">
-3.209
+NA
 </td>
 <td style="text-align:right;">
-4.746
+NA
 </td>
 <td style="text-align:right;">
-3.209
+NA
 </td>
 <td style="text-align:right;">
-605.617
+1047.000
 </td>
 <td style="text-align:right;">
-14.941
+30.000
 </td>
 <td style="text-align:right;">
-4.851
+24.000
 </td>
 <td style="text-align:right;">
-7.223
+17.000
 </td>
 <td style="text-align:right;">
-59.797
+49.000
 </td>
 <td style="text-align:right;">
-48.123
+69.000
 </td>
 <td style="text-align:right;">
-12.667
+38.000
 </td>
 <td style="text-align:right;">
-82.289
+38.000
 </td>
 <td style="text-align:right;">
-47.638
+NA
 </td>
 <td style="text-align:right;">
-2.656
+NA
 </td>
 <td style="text-align:right;">
-1.941
+NA
 </td>
 <td style="text-align:right;">
-1.219
+NA
 </td>
 <td style="text-align:right;">
-15.330
+NA
 </td>
 <td style="text-align:right;">
-4.559
+NA
 </td>
 <td style="text-align:right;">
-3.502
+NA
 </td>
 <td style="text-align:right;">
-5.066
+NA
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-754884
+376861
 </td>
 <td style="text-align:right;">
-NA
+37
 </td>
 <td style="text-align:right;">
-NA
+37
 </td>
 <td style="text-align:right;">
-NA
+37
 </td>
 <td style="text-align:right;">
-NA
+153
 </td>
 <td style="text-align:right;">
-117.482
+86.000
 </td>
 <td style="text-align:right;">
-74.000
+49.000
 </td>
 <td style="text-align:right;">
-310.095
+237.000
 </td>
 <td style="text-align:right;">
-5769.304
+5664.000
 </td>
 <td style="text-align:right;">
-251.930
+200.000
 </td>
 <td style="text-align:right;">
-12.575
+-9.000
 </td>
 <td style="text-align:right;">
-239.346
+209.000
 </td>
 <td style="text-align:right;">
-144.013
+110.000
 </td>
 <td style="text-align:right;">
-67.824
+58.000
 </td>
 <td style="text-align:right;">
-200.703
+167.000
 </td>
 <td style="text-align:right;">
-43.223
+12.000
 </td>
 <td style="text-align:right;">
-744.488
+845.000
 </td>
 <td style="text-align:right;">
-80.236
+90.000
 </td>
 <td style="text-align:right;">
-50.779
+47.000
 </td>
 <td style="text-align:right;">
-12.760
+21.000
 </td>
 <td style="text-align:right;">
-217.087
+263.000
 </td>
 <td style="text-align:right;">
-156.079
+150.000
 </td>
 <td style="text-align:right;">
-192.671
+249.000
 </td>
 <td style="text-align:right;">
-183.147
+175.000
 </td>
 <td style="text-align:right;">
-2.031
+NA
 </td>
 <td style="text-align:right;">
-0.000
+NA
 </td>
 <td style="text-align:right;">
-0.383
+NA
 </td>
 <td style="text-align:right;">
-15.061
+NA
 </td>
 <td style="text-align:right;">
-2.216
+NA
 </td>
 <td style="text-align:right;">
-1.887
+NA
 </td>
 <td style="text-align:right;">
-0.660
+NA
 </td>
 <td style="text-align:right;">
-16.914
+NA
 </td>
 <td style="text-align:right;">
-2.720
+NA
 </td>
 <td style="text-align:right;">
-2.145
+NA
 </td>
 <td style="text-align:right;">
-1.898
+NA
 </td>
 <td style="text-align:right;">
-62.959
+NA
 </td>
 <td style="text-align:right;">
-6.811
+NA
 </td>
 <td style="text-align:right;">
-4.345
+NA
 </td>
 <td style="text-align:right;">
-0.581
+NA
 </td>
 <td style="text-align:right;">
-18.326
+NA
 </td>
 <td style="text-align:right;">
-13.903
+NA
 </td>
 <td style="text-align:right;">
-16.499
+NA
 </td>
 <td style="text-align:right;">
-16.216
+NA
 </td>
 <td style="text-align:right;">
-988.585
+474.833
 </td>
 <td style="text-align:right;">
-16.251
+17.167
 </td>
 <td style="text-align:right;">
-20.636
+6.667
 </td>
 <td style="text-align:right;">
-12.025
+8.333
 </td>
 <td style="text-align:right;">
-23.639
+78.333
 </td>
 <td style="text-align:right;">
-62.966
+51.333
 </td>
 <td style="text-align:right;">
-38.217
+19.167
 </td>
 <td style="text-align:right;">
-41.121
+74.000
 </td>
 <td style="text-align:right;">
-92.959
+17.233
 </td>
 <td style="text-align:right;">
-2.246
+1.602
 </td>
 <td style="text-align:right;">
-3.460
+1.633
 </td>
 <td style="text-align:right;">
-1.835
+1.366
 </td>
 <td style="text-align:right;">
-5.752
+13.604
 </td>
 <td style="text-align:right;">
-4.465
+1.862
 </td>
 <td style="text-align:right;">
-3.487
+1.169
 </td>
 <td style="text-align:right;">
-5.647
+2.280
 </td>
 </tr>
 </tbody>
@@ -6117,7 +6382,8 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
   require(doParallel)
   require(raster)
   require(rgeos)
-  require(rgdal) 
+  require(rgdal)
+  require(geosphere) 
  
   print(paste(&quot;Loading&quot;, typp, &quot;data :&quot;, toextract))
   print(paste(&quot;output will be:&quot;, output))
@@ -6138,6 +6404,7 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
     } 
 
   print(&quot;myfunction defined as&quot;)
+  myfunction &lt;- get(myfunction)
   print(myfunction)
   
   print(&quot;go parallel&quot;)
@@ -6146,7 +6413,7 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
 
   print(&quot;start main foreach loop&quot;)
   if(typp==&quot;raster&quot;){
-  out &lt;- foreach(i=1:length(header.shp), .packages=c('raster'), .combine=rbind) %dopar% { 
+  out &lt;- foreach(i=1:length(header.shp), .packages=c(&#39;raster&#39;), .combine=rbind) %dopar% { 
     tmp &lt;- raster::extract(mypredictor, header.shp[i,], 
                          buffer=min(10000,  max(250, header.shp@data$lc_ncrt[i])), fun=myfunction) 
   }
@@ -6154,10 +6421,10 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
   } else {
     out &lt;- sp::over(x=header.shp, y=mypredictor) 
     toassign &lt;- header.shp[which(is.na(out[,1])),]
-    print(paste(length(toassign), &quot;plots not matched directely - seek for NN&quot;))
+    print(paste(length(toassign), &quot;plots not matched directly - seek for NN&quot;))
   if(length(toassign)&gt;0){
     
-    nearest &lt;- foreach(i=1:length(toassign), .packages=c('raster'), .combine=rbind) %dopar% { 
+    nearest &lt;- foreach(i=1:length(toassign), .packages=c(&#39;raster&#39;), .combine=rbind) %dopar% { 
       print(i)
       nearest.tmp &lt;- tryCatch(geosphere::dist2Line(header.shp[i,], mypredictor),
                               error = function(e){data.frame(distance=NA, lon=NA, lat=NA,ID=NA)}
@@ -6184,7 +6451,7 @@ PredExtr &lt;- function(x.shp, myfunction=NA, output=NA,
 
 // add bootstrap table styles to pandoc tables
 function bootstrapStylePandocTables() {
-  $('tr.header').parent('thead').parent('table').addClass('table table-condensed');
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
 }
 $(document).ready(function () {
   bootstrapStylePandocTables();
diff --git a/public/06_buildDT.html b/public/06_buildDT.html
index ac46070f3cf9dc9076f74f476b6d74e46a597916..7a276e174df87224b2c19b68bfc02502e3e2937d 100644
--- a/public/06_buildDT.html
+++ b/public/06_buildDT.html
@@ -208,6 +208,45 @@ color: #d14;
 }
 </style>
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" title="sPlot Logo" />
 </center>
-<p>MEMO!! WHAT TO DO WITH LAYER WHEN IS CONSISTENTLY ZERO IN A PLOT? CHANGE TO NA? WHAT TO DO INSTEAD WHEN LAYER==0 IN A PLOT WHERE LAYER INFO IS OTHERWISE AVAILABLE? !!! ADD Explanation of fields!!!</p>
-<p><strong>Timestamp:</strong> Fri Mar 13 02:52:06 2020<br />
+<p><strong>Timestamp:</strong> Sat Nov 28 11:18:00 2020<br />
 <strong>Drafted:</strong> Francesco Maria Sabatini<br />
-<strong>Revised:</strong><br />
-<strong>version:</strong> 1.0</p>
+<strong>Revised:</strong> Helge Bruelheide<br />
+<strong>Version:</strong> 1.1</p>
 <p>This report documents the construction of the DT table for sPlot 3.0. It is based on dataset sPlot_3.0.2, received on 24/07/2019 from Stephan Hennekens.</p>
+<p>Caution: Layer information is not available for all species in each plot. In case of missing information Layer is set to zero.</p>
+<p><em>Changes in version 1.1</em><br />
+1) Added explanation of fields<br />
+2) Fixed <code>taxon_group</code> of Friesodielsia<br />
+3) Only export the fields <code>Ab_scale</code> and <code>Abundance</code></p>
 <pre class="r"><code>knitr::opts_chunk$set(echo = TRUE)
 library(tidyverse)
 library(readr)
@@ -395,12 +662,12 @@ library(knitr)
 library(kableExtra)
 
 #save temporary files
-write(&quot;TMPDIR = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.getenv('TMPDIR'), '.Renviron'))
-write(&quot;R_USER = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.getenv('R_USER'), '.Renviron'))
+write(&quot;TMPDIR = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.getenv(&#39;TMPDIR&#39;), &#39;.Renviron&#39;))
+write(&quot;R_USER = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.getenv(&#39;R_USER&#39;), &#39;.Renviron&#39;))
 #rasterOptions(tmpdir=&quot;/data/sPlot/users/Francesco/_tmp&quot;)</code></pre>
 <p>Search and replace unclosed quotation marks and escape them. Run in Linux terminal</p>
 <pre class="bash"><code># escape all double quotation marks. Run in Linux terminal
-# sed 's/&quot;/\\&quot;/g' sPlot_3_0_2_species.csv &gt; sPlot_3_0_2_species_test.csv</code></pre>
+# sed &#39;s/&quot;/\\&quot;/g&#39; sPlot_3_0_2_species.csv &gt; sPlot_3_0_2_species_test.csv</code></pre>
 <div id="import-data-table" class="section level2">
 <h2>Import data Table</h2>
 <p>DT table is the species x plot matrix, in long format.</p>
@@ -422,7 +689,11 @@ write(&quot;R_USER = /data/sPlot/users/Francesco/_tmp&quot;, file=file.path(Sys.
                          ) 
 nplots &lt;- length(unique(DT0$PlotObservationID))
 nspecies &lt;- length(unique(DT0$`Matched concept`))</code></pre>
-<p>Species data include 43103312 species * plot records, across 1978589 plots. Before taxonomic resolution, there are 107676 species .<br />
+<p>Match plots with those in <code>header</code></p>
+<pre class="r"><code>load(&quot;../_output/header_sPlot3.0.RData&quot;)
+DT0 &lt;- DT0 %&gt;% 
+  filter(PlotObservationID %in% unique(header$PlotObservationID))</code></pre>
+<p>The DT table includes 43103293 species * plot records, across 1978589 plots. Before taxonomic resolution, there are 107676 species .<br />
 </p>
 <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
 <caption>
@@ -468,7 +739,7 @@ x_
 <tbody>
 <tr>
 <td style="text-align:right;">
-354857
+447771
 </td>
 <td style="text-align:left;">
 NO-Europe_lenoir
@@ -480,10 +751,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Agrostis capillaris
+Achillea millefolium subsp. millefolium
 </td>
 <td style="text-align:left;">
-Agrostis capillaris
+Achillea millefolium subsp. millefolium
 </td>
 <td style="text-align:right;">
 3
@@ -503,7 +774,7 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-354857
+447771
 </td>
 <td style="text-align:left;">
 NO-Europe_lenoir
@@ -515,13 +786,13 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Ammophila arenaria
+Achillea ptarmica
 </td>
 <td style="text-align:left;">
-Ammophila arenaria
+Achillea ptarmica
 </td>
 <td style="text-align:right;">
-1
+3
 </td>
 <td style="text-align:right;">
 0
@@ -538,25 +809,25 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-354857
+447771
 </td>
 <td style="text-align:left;">
 NO-Europe_lenoir
 </td>
 <td style="text-align:left;">
-Moss
+Vascular plant
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:left;">
-Bryophyta species
+Agrostis capillaris
 </td>
 <td style="text-align:left;">
-Bryophyta species
+Agrostis capillaris
 </td>
 <td style="text-align:right;">
-1
+3
 </td>
 <td style="text-align:right;">
 0
@@ -573,7 +844,7 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-354857
+447771
 </td>
 <td style="text-align:left;">
 NO-Europe_lenoir
@@ -585,13 +856,13 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Carex arenaria
+Carex ovalis
 </td>
 <td style="text-align:left;">
-Carex arenaria
+Carex leporina
 </td>
 <td style="text-align:right;">
-1
+3
 </td>
 <td style="text-align:right;">
 0
@@ -608,7 +879,7 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-354857
+447771
 </td>
 <td style="text-align:left;">
 NO-Europe_lenoir
@@ -620,13 +891,13 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Festuca rubra subsp. arenaria
+Cerastium fontanum subsp. vulgare var. vulgare
 </td>
 <td style="text-align:left;">
-Festuca arenaria
+Cerastium fontanum subsp. holosteoides
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:right;">
 0
@@ -643,7 +914,7 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-354857
+447771
 </td>
 <td style="text-align:left;">
 NO-Europe_lenoir
@@ -655,10 +926,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Galium verum
+Chenopodium album subsp. album
 </td>
 <td style="text-align:left;">
-Galium verum
+Chenopodium album subsp. album
 </td>
 <td style="text-align:right;">
 3
@@ -678,7 +949,7 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-354857
+447771
 </td>
 <td style="text-align:left;">
 NO-Europe_lenoir
@@ -690,10 +961,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Linaria vulgaris
+Deschampsia cespitosa
 </td>
 <td style="text-align:left;">
-Linaria vulgaris
+Deschampsia cespitosa
 </td>
 <td style="text-align:right;">
 3
@@ -713,7 +984,7 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-354857
+447771
 </td>
 <td style="text-align:left;">
 NO-Europe_lenoir
@@ -725,10 +996,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Poa pratensis subsp. pratensis
+Galeopsis tetrahit
 </td>
 <td style="text-align:left;">
-Poa pratensis subsp. pratensis
+Galeopsis tetrahit
 </td>
 <td style="text-align:right;">
 3
@@ -748,7 +1019,7 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-354857
+447771
 </td>
 <td style="text-align:left;">
 NO-Europe_lenoir
@@ -760,13 +1031,13 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Salix repens subsp. repens var. argentea
+Holcus lanatus
 </td>
 <td style="text-align:left;">
-Salix repens subsp. repens
+Holcus lanatus
 </td>
 <td style="text-align:right;">
-2
+3
 </td>
 <td style="text-align:right;">
 0
@@ -783,10 +1054,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+NO-Europe_lenoir
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -795,22 +1066,22 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Agrostis rupestris
+Lolium perenne
 </td>
 <td style="text-align:left;">
-Agrostis rupestris
+Lolium perenne
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:left;">
-1
+x
 </td>
 <td style="text-align:right;">
 NA
@@ -818,10 +1089,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+NO-Europe_lenoir
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -830,22 +1101,22 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Avenella flexuosa
+Poa pratensis subsp. pratensis
 </td>
 <td style="text-align:left;">
-Avenella flexuosa
+Poa pratensis subsp. pratensis
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:left;">
-1
+x
 </td>
 <td style="text-align:right;">
 NA
@@ -853,10 +1124,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+NO-Europe_lenoir
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -865,22 +1136,22 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Avenula versicolor
+Poa trivialis
 </td>
 <td style="text-align:left;">
-Helictochloa versicolor
+Poa trivialis
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
-38
+1
 </td>
 <td style="text-align:left;">
-3
+x
 </td>
 <td style="text-align:right;">
 NA
@@ -888,10 +1159,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+NO-Europe_lenoir
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -900,33 +1171,33 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Calamagrostis villosa
+Ranunculus acris
 </td>
 <td style="text-align:left;">
-Calamagrostis villosa
+Ranunculus acris
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
-2
+1
 </td>
 <td style="text-align:left;">
-<ul>
-<li></td>
+x
+</td>
 <td style="text-align:right;">
 NA
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+NO-Europe_lenoir
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -935,22 +1206,22 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Campanula alpina
+Ranunculus repens
 </td>
 <td style="text-align:left;">
-Campanula alpina
+Ranunculus repens
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:left;">
-1
+x
 </td>
 <td style="text-align:right;">
 NA
@@ -958,10 +1229,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+NO-Europe_lenoir
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -970,22 +1241,22 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Carex sempervirens
+Taraxacum sect. Ruderalia
 </td>
 <td style="text-align:left;">
-Carex sempervirens
+Taraxacum sect. Taraxacum
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:left;">
-1
+x
 </td>
 <td style="text-align:right;">
 NA
@@ -993,34 +1264,34 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+NO-Europe_lenoir
 </td>
 <td style="text-align:left;">
-Lichen
+Vascular plant
 </td>
 <td style="text-align:right;">
-4
+1
 </td>
 <td style="text-align:left;">
-Cetraria islandica
+Trifolium repens
 </td>
 <td style="text-align:left;">
-Cetraria islandica
+Trifolium repens
 </td>
 <td style="text-align:right;">
-1
+3
 </td>
 <td style="text-align:right;">
-9
+0
 </td>
 <td style="text-align:right;">
-13
+1
 </td>
 <td style="text-align:left;">
-2
+x
 </td>
 <td style="text-align:right;">
 NA
@@ -1028,10 +1299,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+608448
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1040,16 +1311,16 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Empetrum nigrum
+Arrhenatherum elatius
 </td>
 <td style="text-align:left;">
-Empetrum nigrum
+Arrhenatherum elatius
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
 2
@@ -1063,10 +1334,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+608448
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1075,16 +1346,16 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Geum montanum
+Asplenium adiantum-nigrum subsp. onopteris
 </td>
 <td style="text-align:left;">
-Geum montanum
+Asplenium adiantum-nigrum subsp. onopteris
 </td>
 <td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
 2
@@ -1098,10 +1369,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+608448
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1110,16 +1381,16 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Hieracium alpinum
+Chenopodium bonus-henricus
 </td>
 <td style="text-align:left;">
-Hieracium alpinum
+Blitum bonus-henricus
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
 2
@@ -1133,10 +1404,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+608448
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1145,33 +1416,33 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Homogyne alpina
+Cynosurus echinatus
 </td>
 <td style="text-align:left;">
-Homogyne alpina
+Cynosurus echinatus
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:left;">
-1
-</td>
+<ul>
+<li></td>
 <td style="text-align:right;">
 NA
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+608448
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1180,33 +1451,33 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Hypochaeris uniflora
+Digitalis purpurea
 </td>
 <td style="text-align:left;">
-Hypochaeris uniflora
+Digitalis purpurea
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
-13
-</td>
-<td style="text-align:left;">
 2
 </td>
+<td style="text-align:left;">
+<ul>
+<li></td>
 <td style="text-align:right;">
 NA
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+608448
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1215,33 +1486,33 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Persicaria vivipara
+Epilobium montanum
 </td>
 <td style="text-align:left;">
-Bistorta vivipara
+Epilobium montanum
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
-1
+2
 </td>
 <td style="text-align:left;">
-r
-</td>
+<ul>
+<li></td>
 <td style="text-align:right;">
 NA
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+608448
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1250,33 +1521,33 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Potentilla aurea
+Fagus sylvatica
 </td>
 <td style="text-align:left;">
-Potentilla aurea
+Fagus sylvatica
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+1
 </td>
 <td style="text-align:right;">
-2
+38
 </td>
 <td style="text-align:left;">
-<ul>
-<li></td>
+3
+</td>
 <td style="text-align:right;">
 NA
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+608448
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1285,22 +1556,22 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Pulsatilla alpina subsp. alba auct. sudet. &amp; carpat.
+Galium rotundifolium
 </td>
 <td style="text-align:left;">
-Pulsatilla alpina subsp. alba
+Galium rotundifolium
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
-1
+3
 </td>
 <td style="text-align:left;">
-r
+1
 </td>
 <td style="text-align:right;">
 NA
@@ -1308,10 +1579,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+608448
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1320,33 +1591,33 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Vaccinium gaultherioides
+Geranium robertianum
 </td>
 <td style="text-align:left;">
-Vaccinium uliginosum
+Geranium robertianum
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:left;">
-1
-</td>
+<ul>
+<li></td>
 <td style="text-align:right;">
 NA
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+608448
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1355,33 +1626,33 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Vaccinium myrtillus
+Hypochaeris taraxacoides
 </td>
 <td style="text-align:left;">
-Vaccinium myrtillus
+Hypochaeris taraxacoides
 </td>
 <td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:left;">
-1
-</td>
+<ul>
+<li></td>
 <td style="text-align:right;">
 NA
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+608448
 </td>
 <td style="text-align:left;">
-CS-Czechia_slovakia_2015
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1390,16 +1661,16 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Vaccinium vitis-idaea
+Mycelis muralis
 </td>
 <td style="text-align:left;">
-Vaccinium vitis-idaea
+Lactuca muralis
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-6
+0
 </td>
 <td style="text-align:right;">
 2
@@ -1413,10 +1684,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-RU-Russia
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1425,33 +1696,33 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Betula pubescens
+Poa nemoralis
 </td>
 <td style="text-align:left;">
-Betula pubescens
+Poa nemoralis
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-1
+0
 </td>
 <td style="text-align:right;">
-38
+2
 </td>
 <td style="text-align:left;">
-3
-</td>
+<ul>
+<li></td>
 <td style="text-align:right;">
 NA
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-RU-Russia
+FR-France_sophy
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1460,22 +1731,22 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Betula pubescens
+Stellaria media
 </td>
 <td style="text-align:left;">
-Betula pubescens
+Stellaria media
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-2
+0
 </td>
 <td style="text-align:right;">
-38
+3
 </td>
 <td style="text-align:left;">
-3
+1
 </td>
 <td style="text-align:right;">
 NA
@@ -1483,10 +1754,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-RU-Russia
+BR-Britain
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1495,10 +1766,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Calamagrostis arundinacea
+Agrostis stolonifera
 </td>
 <td style="text-align:left;">
-Calamagrostis arundinacea
+Agrostis stolonifera
 </td>
 <td style="text-align:right;">
 3
@@ -1507,10 +1778,10 @@ Calamagrostis arundinacea
 6
 </td>
 <td style="text-align:right;">
-3
+8
 </td>
 <td style="text-align:left;">
-1
+8
 </td>
 <td style="text-align:right;">
 NA
@@ -1518,10 +1789,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-RU-Russia
+BR-Britain
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1530,10 +1801,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Carex rhizina
+Alopecurus geniculatus
 </td>
 <td style="text-align:left;">
-Carex pediformis subsp. rhizodes
+Alopecurus geniculatus
 </td>
 <td style="text-align:right;">
 3
@@ -1542,10 +1813,10 @@ Carex pediformis subsp. rhizodes
 6
 </td>
 <td style="text-align:right;">
-3
+6
 </td>
 <td style="text-align:left;">
-1
+6
 </td>
 <td style="text-align:right;">
 NA
@@ -1553,10 +1824,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-RU-Russia
+BR-Britain
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1565,10 +1836,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Chelidonium majus
+Alopecurus pratensis
 </td>
 <td style="text-align:left;">
-Chelidonium majus
+Alopecurus pratensis
 </td>
 <td style="text-align:right;">
 3
@@ -1577,10 +1848,10 @@ Chelidonium majus
 6
 </td>
 <td style="text-align:right;">
-3
+10
 </td>
 <td style="text-align:left;">
-1
+10
 </td>
 <td style="text-align:right;">
 NA
@@ -1588,10 +1859,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-RU-Russia
+BR-Britain
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1600,10 +1871,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Convallaria majalis
+Anthoxanthum odoratum
 </td>
 <td style="text-align:left;">
-Convallaria majalis
+Anthoxanthum odoratum
 </td>
 <td style="text-align:right;">
 3
@@ -1612,10 +1883,10 @@ Convallaria majalis
 6
 </td>
 <td style="text-align:right;">
-3
+10
 </td>
 <td style="text-align:left;">
-1
+10
 </td>
 <td style="text-align:right;">
 NA
@@ -1623,10 +1894,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-RU-Russia
+BR-Britain
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1635,10 +1906,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Dryopteris carthusiana
+Cardamine pratensis
 </td>
 <td style="text-align:left;">
-Dryopteris carthusiana
+Cardamine pratensis
 </td>
 <td style="text-align:right;">
 3
@@ -1647,10 +1918,10 @@ Dryopteris carthusiana
 6
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:left;">
-1
+2
 </td>
 <td style="text-align:right;">
 NA
@@ -1658,10 +1929,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-RU-Russia
+BR-Britain
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1670,10 +1941,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Galium mollugo
+Cerastium fontanum
 </td>
 <td style="text-align:left;">
-Galium mollugo
+Cerastium fontanum
 </td>
 <td style="text-align:right;">
 3
@@ -1682,7 +1953,7 @@ Galium mollugo
 6
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:left;">
 1
@@ -1693,10 +1964,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-RU-Russia
+BR-Britain
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1705,10 +1976,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Hypericum perforatum
+Glyceria fluitans
 </td>
 <td style="text-align:left;">
-Hypericum perforatum
+Glyceria fluitans
 </td>
 <td style="text-align:right;">
 3
@@ -1717,10 +1988,10 @@ Hypericum perforatum
 6
 </td>
 <td style="text-align:right;">
-3
+15
 </td>
 <td style="text-align:left;">
-1
+15
 </td>
 <td style="text-align:right;">
 NA
@@ -1728,10 +1999,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-RU-Russia
+BR-Britain
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1740,10 +2011,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Melampyrum pratense
+Poa trivialis
 </td>
 <td style="text-align:left;">
-Melampyrum pratense
+Poa trivialis
 </td>
 <td style="text-align:right;">
 3
@@ -1752,10 +2023,10 @@ Melampyrum pratense
 6
 </td>
 <td style="text-align:right;">
-3
+45
 </td>
 <td style="text-align:left;">
-1
+45
 </td>
 <td style="text-align:right;">
 NA
@@ -1763,10 +2034,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-RU-Russia
+BR-Britain
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1775,10 +2046,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Moehringia trinervia
+Polygonum amphibium
 </td>
 <td style="text-align:left;">
-Moehringia trinervia
+Persicaria amphibia
 </td>
 <td style="text-align:right;">
 3
@@ -1787,7 +2058,7 @@ Moehringia trinervia
 6
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:left;">
 1
@@ -1798,10 +2069,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-RU-Russia
+BR-Britain
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1810,10 +2081,10 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Oxalis acetosella
+Ranunculus acris
 </td>
 <td style="text-align:left;">
-Oxalis acetosella
+Ranunculus acris
 </td>
 <td style="text-align:right;">
 3
@@ -1822,7 +2093,7 @@ Oxalis acetosella
 6
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:left;">
 1
@@ -1833,10 +2104,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-RU-Russia
+BR-Britain
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1845,19 +2116,19 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Picea obovata
+Ranunculus repens
 </td>
 <td style="text-align:left;">
-Picea obovata
+Ranunculus repens
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-1
+6
 </td>
 <td style="text-align:right;">
-68
+4
 </td>
 <td style="text-align:left;">
 4
@@ -1868,10 +2139,10 @@ NA
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-RU-Russia
+BR-Britain
 </td>
 <td style="text-align:left;">
 Vascular plant
@@ -1880,419 +2151,435 @@ Vascular plant
 1
 </td>
 <td style="text-align:left;">
-Picea obovata
+Rumex acetosa
 </td>
 <td style="text-align:left;">
-Picea obovata
+Rumex acetosa
 </td>
 <td style="text-align:right;">
 3
 </td>
 <td style="text-align:right;">
-2
+6
 </td>
 <td style="text-align:right;">
-68
+1
 </td>
 <td style="text-align:left;">
-4
+1
 </td>
 <td style="text-align:right;">
 NA
 </td>
 </tr>
+</tbody>
+</table></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul>
+</div>
+<div id="match-species-names-from-dt0-to-those-in-backbone" class="section level2">
+<h2>Match species names from DT0 to those in Backbone</h2>
+<p>Import taxonomic backbone</p>
+<pre class="r"><code>load(&quot;../_output/Backbone3.0.RData&quot;)</code></pre>
+<p>Match to DT0, using <code>Taxonomic concept</code> as matching key. This is the field that was used to build, and resolve, the Backbone.</p>
+<pre class="r"><code>DT1 &lt;- DT0 %&gt;% 
+  left_join(Backbone %&gt;% 
+              dplyr::select(Name_sPlot_TRY, Name_short, `Taxon group`, Rank_correct) %&gt;%
+              rename(`Matched concept`=Name_sPlot_TRY,
+                     Taxongroup_BB=`Taxon group`), 
+            by=&quot;Matched concept&quot;) %&gt;% 
+  # Simplify Rank_correct
+  mutate(Rank_correct=fct_collapse(Rank_correct, 
+                                   lower=c(&quot;subspecies&quot;, &quot;variety&quot;, &quot;infraspecies&quot;, &quot;race&quot;, &quot;forma&quot;))) %&gt;% 
+  mutate(Rank_correct=fct_explicit_na(Rank_correct, &quot;No_match&quot;)) %&gt;% 
+  mutate(Name_short=replace(Name_short, 
+                            list=Name_short==&quot;No suitable&quot;, 
+                            values=NA))</code></pre>
+</div>
+<div id="explore-name-matching-based-on-backbone-v1.2" class="section level2">
+<h2>Explore name matching based on Backbone v1.2</h2>
+<p>Select species entries that changed after taxonomic standardization, as a way to check the backbone.</p>
+<pre class="r"><code>name.check &lt;- DT1 %&gt;% 
+  dplyr::select(`Turboveg2 concept`:`Matched concept`, Name_short) %&gt;% 
+  rename(Name_TNRS=Name_short) %&gt;% 
+  distinct() %&gt;% 
+  mutate(Matched_short=word(`Matched concept`, start = 1L, end=2L)) %&gt;% 
+  filter(is.na(Name_TNRS) | Matched_short != Name_TNRS) %&gt;%
+  dplyr::select(-Matched_short) %&gt;% 
+  arrange(Name_TNRS)</code></pre>
+<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
+<caption>
+Check 30 random species names from DT that changed name after matching to backbone
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+Turboveg2 concept
+</th>
+<th style="text-align:left;">
+Matched concept
+</th>
+<th style="text-align:left;">
+Name_TNRS
+</th>
+</tr>
+</thead>
+<tbody>
 <tr>
-<td style="text-align:right;">
-1585163
-</td>
 <td style="text-align:left;">
-RU-Russia
+Silber lanzettblatt breit 136307
 </td>
 <td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-1
+Silber lanzettblatt breit 136307
 </td>
 <td style="text-align:left;">
-Pinus sylvestris
+NA
 </td>
+</tr>
+<tr>
 <td style="text-align:left;">
-Pinus sylvestris
+Anthosachne scabra
 </td>
-<td style="text-align:right;">
-3
+<td style="text-align:left;">
+Anthosachne scabra
 </td>
-<td style="text-align:right;">
-1
+<td style="text-align:left;">
+Elymus scabrus
 </td>
-<td style="text-align:right;">
-3
+</tr>
+<tr>
+<td style="text-align:left;">
+Koeleria cristata subsp. gracilis
 </td>
 <td style="text-align:left;">
-1
+Koeleria cristata subsp. gracilis
 </td>
-<td style="text-align:right;">
-NA
+<td style="text-align:left;">
+Koeleria macrantha
 </td>
 </tr>
 <tr>
-<td style="text-align:right;">
-1585163
-</td>
 <td style="text-align:left;">
-RU-Russia
+Frustulia rhomboides var. saxonica
 </td>
 <td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-1
+Frustulia rhomboides var. saxonica
 </td>
 <td style="text-align:left;">
-Pinus sylvestris
+Frustulia
 </td>
+</tr>
+<tr>
 <td style="text-align:left;">
-Pinus sylvestris
+Hypericum elongatum subsp. microcalycinum
 </td>
-<td style="text-align:right;">
-3
+<td style="text-align:left;">
+Hypericum elongatum subsp. microcalycinum
 </td>
-<td style="text-align:right;">
-6
+<td style="text-align:left;">
+Hypericum microcalycinum
 </td>
-<td style="text-align:right;">
-3
+</tr>
+<tr>
+<td style="text-align:left;">
+Tortula intermedia
 </td>
 <td style="text-align:left;">
-1
+Tortula intermedia
 </td>
-<td style="text-align:right;">
-NA
+<td style="text-align:left;">
+Syntrichia montana
 </td>
 </tr>
 <tr>
-<td style="text-align:right;">
-1585163
-</td>
 <td style="text-align:left;">
-RU-Russia
+Randia formosa
 </td>
 <td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-1
+Randia formosa
 </td>
 <td style="text-align:left;">
-Rubus idaeus
+Rosenbergiodendron formosum
 </td>
+</tr>
+<tr>
 <td style="text-align:left;">
-Rubus idaeus
+Papaver species
 </td>
-<td style="text-align:right;">
-3
+<td style="text-align:left;">
+Papaver species
 </td>
-<td style="text-align:right;">
-6
+<td style="text-align:left;">
+Papaver
 </td>
-<td style="text-align:right;">
-3
+</tr>
+<tr>
+<td style="text-align:left;">
+Inga sp4_UMICH1
 </td>
 <td style="text-align:left;">
-1
+Inga sp4_UMICH1
 </td>
-<td style="text-align:right;">
-NA
+<td style="text-align:left;">
+Inga
 </td>
 </tr>
 <tr>
-<td style="text-align:right;">
-1585163
-</td>
 <td style="text-align:left;">
-RU-Russia
+Diospyros species [M11]
 </td>
 <td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-1
+Diospyros species [M11]
 </td>
 <td style="text-align:left;">
-Rumex acetosella
+Diospyros
 </td>
+</tr>
+<tr>
 <td style="text-align:left;">
-Rumex acetosella
+Ficus radula
 </td>
-<td style="text-align:right;">
-3
+<td style="text-align:left;">
+Ficus radula
 </td>
-<td style="text-align:right;">
-6
+<td style="text-align:left;">
+Ficus obtusiuscula
 </td>
-<td style="text-align:right;">
-3
+</tr>
+<tr>
+<td style="text-align:left;">
+CYPERACEAE SPECIES
 </td>
 <td style="text-align:left;">
-1
+CYPERACEAE SPECIES
 </td>
-<td style="text-align:right;">
-NA
+<td style="text-align:left;">
+Cyperaceae
 </td>
 </tr>
 <tr>
-<td style="text-align:right;">
-1585163
-</td>
 <td style="text-align:left;">
-RU-Russia
+Diospyros species [DIOFLE]
 </td>
 <td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-1
+Diospyros species [DIOFLE]
 </td>
 <td style="text-align:left;">
-Sambucus racemosa
+Diospyros
 </td>
+</tr>
+<tr>
 <td style="text-align:left;">
-Sambucus racemosa
+Tribulopis pentandra
 </td>
-<td style="text-align:right;">
-3
+<td style="text-align:left;">
+Tribulopis pentandra
 </td>
-<td style="text-align:right;">
-4
+<td style="text-align:left;">
+Kallstroemia pentandra
 </td>
-<td style="text-align:right;">
-3
+</tr>
+<tr>
+<td style="text-align:left;">
+Stipagrostis sp 134344A
 </td>
 <td style="text-align:left;">
-1
+Stipagrostis sp 134344A
 </td>
-<td style="text-align:right;">
-NA
+<td style="text-align:left;">
+Stipagrostis
 </td>
 </tr>
 <tr>
-<td style="text-align:right;">
-1585163
-</td>
 <td style="text-align:left;">
-RU-Russia
+Osmorhiza claytonii
 </td>
 <td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-1
+Osmorhiza claytonii
 </td>
 <td style="text-align:left;">
-Solidago virgaurea
+Osmorhiza aristata
 </td>
+</tr>
+<tr>
 <td style="text-align:left;">
-Solidago virgaurea
+Tetrapora glomerata
 </td>
-<td style="text-align:right;">
-3
+<td style="text-align:left;">
+Tetrapora glomerata
 </td>
-<td style="text-align:right;">
-6
+<td style="text-align:left;">
+Baeckea pentandra
 </td>
-<td style="text-align:right;">
-3
+</tr>
+<tr>
+<td style="text-align:left;">
+Torilis elongata
 </td>
 <td style="text-align:left;">
-1
+Torilis elongata
 </td>
-<td style="text-align:right;">
-NA
+<td style="text-align:left;">
+Torilis arvensis
 </td>
 </tr>
 <tr>
-<td style="text-align:right;">
-1585163
-</td>
 <td style="text-align:left;">
-RU-Russia
+Crossostylis species
 </td>
 <td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-1
+Crossostylis species
 </td>
 <td style="text-align:left;">
-Sorbus aucuparia
+Crossostylis
 </td>
+</tr>
+<tr>
 <td style="text-align:left;">
-Sorbus aucuparia
+Asarum dimidiatum
 </td>
-<td style="text-align:right;">
-3
+<td style="text-align:left;">
+Asarum dimidiatum
 </td>
-<td style="text-align:right;">
-4
+<td style="text-align:left;">
+Asarum sieboldii
 </td>
-<td style="text-align:right;">
-3
+</tr>
+<tr>
+<td style="text-align:left;">
+Ferdinandusa cf. elliptica
 </td>
 <td style="text-align:left;">
-1
+Ferdinandusa cf. elliptica
 </td>
-<td style="text-align:right;">
-NA
+<td style="text-align:left;">
+Ferdinandusa elliptica
 </td>
 </tr>
 <tr>
-<td style="text-align:right;">
-1585163
-</td>
 <td style="text-align:left;">
-RU-Russia
+Juncus gerardii subsp. persicus
 </td>
 <td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-1
+Juncus gerardii subsp. persicus
 </td>
 <td style="text-align:left;">
-Stellaria media
+Juncus persicus
 </td>
+</tr>
+<tr>
 <td style="text-align:left;">
-Stellaria media
+Hypopitys_monotropa species
 </td>
-<td style="text-align:right;">
-3
+<td style="text-align:left;">
+Hypopitys_monotropa species
 </td>
-<td style="text-align:right;">
-6
+<td style="text-align:left;">
+Monotropa hypopitys
 </td>
-<td style="text-align:right;">
-3
+</tr>
+<tr>
+<td style="text-align:left;">
+Acer morrisonense
 </td>
 <td style="text-align:left;">
-1
+Acer morrisonense
 </td>
-<td style="text-align:right;">
-NA
+<td style="text-align:left;">
+Acer caudatifolium
 </td>
 </tr>
 <tr>
-<td style="text-align:right;">
-1585163
+<td style="text-align:left;">
+Pilosella hoppeana subsp. pilisquama
 </td>
 <td style="text-align:left;">
-RU-Russia
+Pilosella hoppeana subsp. testimonialis
 </td>
 <td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-1
+Pilosella pilisquama
 </td>
+</tr>
+<tr>
 <td style="text-align:left;">
-Vaccinium myrtillus
+Seedlings of
 </td>
 <td style="text-align:left;">
-Vaccinium myrtillus
-</td>
-<td style="text-align:right;">
-3
-</td>
-<td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+Seedlings of
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
 NA
 </td>
 </tr>
 <tr>
-<td style="text-align:right;">
-1585163
+<td style="text-align:left;">
+Heracleum alpinum x montanum
 </td>
 <td style="text-align:left;">
-RU-Russia
+Heracleum alpinum x montanum
 </td>
 <td style="text-align:left;">
-Vascular plant
+Heracleum sphondylium
 </td>
-<td style="text-align:right;">
-1
+</tr>
+<tr>
+<td style="text-align:left;">
+Arabidopsis parvula
 </td>
 <td style="text-align:left;">
-Veronica officinalis
+Arabidopsis parvula
 </td>
 <td style="text-align:left;">
-Veronica officinalis
+Eutrema parvulum
 </td>
-<td style="text-align:right;">
-3
+</tr>
+<tr>
+<td style="text-align:left;">
+Symphyotrichum species [lanceolatum + lateriflorum + racemosum]
 </td>
-<td style="text-align:right;">
-6
+<td style="text-align:left;">
+Symphyotrichum species [lanceolatum + lateriflorum + racemosum]
 </td>
-<td style="text-align:right;">
-3
+<td style="text-align:left;">
+Symphyotrichum lanceolatum
 </td>
+</tr>
+<tr>
 <td style="text-align:left;">
-1
+Sisyrinchium alatum
 </td>
-<td style="text-align:right;">
-NA
+<td style="text-align:left;">
+Sisyrinchium alatum
+</td>
+<td style="text-align:left;">
+Sisyrinchium vaginatum
 </td>
 </tr>
 </tbody>
-</table></li>
-</ul></li>
-</ul></li>
-</ul></li>
-</ul></li>
-</ul></li>
-</ul>
-</div>
-<div id="match-species-names-from-dt0-to-those-in-backbone" class="section level2">
-<h2>Match species names from DT0 to those in Backbone</h2>
-<p>Import taxonomic backbone</p>
-<pre class="r"><code>load(&quot;../_output/Backbone3.0.RData&quot;)</code></pre>
-<p>Match to DT0, using <code>Taxonomic concept</code> as matching key. This is the field that was used to build, and resolve, the Backbone.</p>
-<pre class="r"><code>DT1 &lt;- DT0 %&gt;% 
-  left_join(Backbone %&gt;% 
-              dplyr::select(Name_sPlot_TRY, Name_short, `Taxon group`, Rank_correct) %&gt;%
-              rename(`Matched concept`=Name_sPlot_TRY,
-                     Taxongroup_BB=`Taxon group`), 
-            by=&quot;Matched concept&quot;) %&gt;% 
-  # Simplify Rank_correct
-  mutate(Rank_correct=fct_collapse(Rank_correct, 
-                                   lower=c(&quot;subspecies&quot;, &quot;variety&quot;, &quot;infraspecies&quot;, &quot;race&quot;, &quot;forma&quot;))) %&gt;% 
-  mutate(Rank_correct=fct_explicit_na(Rank_correct, &quot;No_match&quot;)) %&gt;% 
-  mutate(Name_short=replace(Name_short, 
-                            list=Name_short==&quot;No suitable&quot;, 
-                            values=NA))</code></pre>
-</div>
-<div id="explore-name-matching-based-on-backbone-v1.2" class="section level2">
-<h2>Explore name matching based on Backbone v1.2</h2>
-<p>Select species entries that changed after taxonomic standardization, as a way to check the backbone.</p>
-<pre class="r"><code>name.check &lt;- DT1 %&gt;% 
+</table>
+<p>Check the most common species names from DT after matching to backbone</p>
+<pre class="r"><code>name.check.freq &lt;- DT1 %&gt;% 
   dplyr::select(`Turboveg2 concept`:`Matched concept`, Name_short) %&gt;% 
   rename(Name_TNRS=Name_short) %&gt;% 
-  distinct() %&gt;% 
+  group_by(`Turboveg2 concept`, `Matched concept`, Name_TNRS) %&gt;% 
+  summarize(n=n()) %&gt;% 
   mutate(Matched_short=word(`Matched concept`, start = 1L, end=2L)) %&gt;% 
   filter(is.na(Name_TNRS) | Matched_short != Name_TNRS) %&gt;%
   dplyr::select(-Matched_short) %&gt;% 
-  arrange(Name_TNRS)</code></pre>
+  ungroup() %&gt;% 
+  arrange(desc(n)) </code></pre>
+<pre><code>## `summarise()` regrouping output by &#39;Turboveg2 concept&#39;, &#39;Matched concept&#39; (override with `.groups` argument)</code></pre>
 <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
 <caption>
-Check 30 random species names from DT that changed name after matching to backbone
+Check 40 most common species names from DT that changed name after matching to backbone
 </caption>
 <thead>
 <tr>
@@ -2305,1528 +2592,905 @@ Matched concept
 <th style="text-align:left;">
 Name_TNRS
 </th>
+<th style="text-align:right;">
+n
+</th>
 </tr>
 </thead>
 <tbody>
 <tr>
 <td style="text-align:left;">
-Cyclotella comta
+Deschampsia flexuosa
 </td>
 <td style="text-align:left;">
-Cyclotella comta
+Avenella flexuosa
 </td>
 <td style="text-align:left;">
-Cyclotella
+Deschampsia flexuosa
+</td>
+<td style="text-align:right;">
+126515
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Lespedeza species #2
+Festuca pratensis
 </td>
 <td style="text-align:left;">
-Lespedeza species #2
+Schedonorus pratensis
 </td>
 <td style="text-align:left;">
-Lespedeza
+Festuca pratensis
+</td>
+<td style="text-align:right;">
+84008
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Alopecurus x brachystylus
+Elymus repens
 </td>
 <td style="text-align:left;">
-Alopecurus x brachystylus
+Elytrigia repens
 </td>
 <td style="text-align:left;">
-Alopecurus ×
+Elymus repens
+</td>
+<td style="text-align:right;">
+82891
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Verbascum leptocladum
+Phalaris arundinacea
 </td>
 <td style="text-align:left;">
-Verbascum leptocladum
+Phalaroides arundinacea
 </td>
 <td style="text-align:left;">
-Verbascum glabratum
+Phalaris arundinacea
+</td>
+<td style="text-align:right;">
+75296
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Anisomeridium polypori
+Bryophyta species
 </td>
 <td style="text-align:left;">
-Anisomeridium nyssaegenum
+Bryophyta species
 </td>
 <td style="text-align:left;">
-Anisomeridium nyssigenum
+NA
+</td>
+<td style="text-align:right;">
+74393
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Klasea boetica subsp. lusitanica
+Poa annua
 </td>
 <td style="text-align:left;">
-Klasea boetica subsp. lusitanica
+Ochlopoa annua
 </td>
 <td style="text-align:left;">
-Klasea baetica
+Poa annua
+</td>
+<td style="text-align:right;">
+67460
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Arenaria armeniaca
+Potentilla anserina
 </td>
 <td style="text-align:left;">
-Arenaria armeniaca
+Argentina anserina
 </td>
 <td style="text-align:left;">
-Eremogone armeniaca
+Potentilla anserina
+</td>
+<td style="text-align:right;">
+63786
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Lauraceae species [FB 87]
+Taraxacum sect. Ruderalia
 </td>
 <td style="text-align:left;">
-Lauraceae species [FB 87]
+Taraxacum sect. Taraxacum
 </td>
 <td style="text-align:left;">
-Lauraceae
+Taraxacum
+</td>
+<td style="text-align:right;">
+58429
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Lobelia species #5
+Taraxacum species
 </td>
 <td style="text-align:left;">
-Lobelia species #5
+Taraxacum species
 </td>
 <td style="text-align:left;">
-Lobelia
+Taraxacum
+</td>
+<td style="text-align:right;">
+57167
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Petrocoptis pyrenaica subsp. pyrenaica
+Cornus sanguinea
 </td>
 <td style="text-align:left;">
-Petrocoptis pyrenaica subsp. pyrenaica
+Cornus sanguinea
 </td>
 <td style="text-align:left;">
-Silene glaucifolia
+Cornus controversa
+</td>
+<td style="text-align:right;">
+52651
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Plinia species
+Elytrigia repens
 </td>
 <td style="text-align:left;">
-Plinia species
+Elytrigia repens
 </td>
 <td style="text-align:left;">
-Plinia
+Elymus repens
+</td>
+<td style="text-align:right;">
+51670
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Stereocaulon species
+Taraxacum officinale
 </td>
 <td style="text-align:left;">
-Stereocaulon species
+Taraxacum sect. Taraxacum
 </td>
 <td style="text-align:left;">
-Stereocaulon
+Taraxacum
+</td>
+<td style="text-align:right;">
+50502
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Gesneria acuminata
+Weinmannia racemosa
 </td>
 <td style="text-align:left;">
-Gesneria acuminata
+Weinmannia racemosa
 </td>
 <td style="text-align:left;">
-Gesneria humilis
+Leiospermum racemosum
+</td>
+<td style="text-align:right;">
+38269
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Tephrocactus articulatus
+Bromus erectus
 </td>
 <td style="text-align:left;">
-Tephrocactus articulatus
+Bromopsis erecta
 </td>
 <td style="text-align:left;">
-Opuntia articulata
+Bromus erectus
+</td>
+<td style="text-align:right;">
+33765
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Tulostoma brumale
+Cladonia species
 </td>
 <td style="text-align:left;">
-Tulostoma brumale
+Cladonia species
 </td>
 <td style="text-align:left;">
-NA
+Cladonia
+</td>
+<td style="text-align:right;">
+32464
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Fontinalis species
+Avenella flexuosa
 </td>
 <td style="text-align:left;">
-Fontinalis species
+Avenella flexuosa
 </td>
 <td style="text-align:left;">
-Fontinalis
+Deschampsia flexuosa
+</td>
+<td style="text-align:right;">
+30787
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Michelia shiluensis
+Rubus sect. Rubus
 </td>
 <td style="text-align:left;">
-Michelia shiluensis
+Rubus sect. Rubus
 </td>
 <td style="text-align:left;">
-Magnolia shiluensis
+Rubus
+</td>
+<td style="text-align:right;">
+28684
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Calamus aff.
+Festuca arundinacea
 </td>
 <td style="text-align:left;">
-Calamus aff.
+Schedonorus arundinaceus
 </td>
 <td style="text-align:left;">
-Calamus
+Festuca arundinacea
+</td>
+<td style="text-align:right;">
+26124
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Lespedeza daurica
+Trientalis europaea
 </td>
 <td style="text-align:left;">
-Lespedeza daurica
+Trientalis europaea
 </td>
 <td style="text-align:left;">
-Lespedeza davurica
+Lysimachia europaea
+</td>
+<td style="text-align:right;">
+25940
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Arrabidaea truncata
+Rubus fruticosus aggr.
 </td>
 <td style="text-align:left;">
-Arrabidaea truncata
+Rubus fruticosus aggr.
 </td>
 <td style="text-align:left;">
-Fridericia truncata
+Rubus vestitus
+</td>
+<td style="text-align:right;">
+23669
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Launaea acanthoclada
+Glaux maritima
 </td>
 <td style="text-align:left;">
-Launaea acanthoclada
+Glaux maritima
 </td>
 <td style="text-align:left;">
-Launaea lanifera
+Lysimachia maritima
+</td>
+<td style="text-align:right;">
+23306
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Jagera pseudorhus var. pseudorhus
+Taraxacum officinale aggr.
 </td>
 <td style="text-align:left;">
-Jagera pseudorhus var. pseudorhus
+Taraxacum sect. Taraxacum
 </td>
 <td style="text-align:left;">
-Cupania pseudorhus
+Taraxacum
+</td>
+<td style="text-align:right;">
+22837
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Alliaria_petiolata species
+Rubus species
 </td>
 <td style="text-align:left;">
-Alliaria_petiolata species
+Rubus species
 </td>
 <td style="text-align:left;">
-Alliaria petiolata
+Rubus
+</td>
+<td style="text-align:right;">
+22098
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Hevea cf. guianensis
+Festuca gigantea
 </td>
 <td style="text-align:left;">
-Hevea cf. guianensis
+Schedonorus giganteus
 </td>
 <td style="text-align:left;">
-Hevea guianensis
+Festuca gigantea
+</td>
+<td style="text-align:right;">
+20917
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Riccia beirichiana
+Taraxacum sectie Ruderalia
 </td>
 <td style="text-align:left;">
-Riccia beirichiana
+Taraxacum sect. Taraxacum
 </td>
 <td style="text-align:left;">
-Riccia beyrichiana
+Taraxacum
+</td>
+<td style="text-align:right;">
+20888
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Thesium billardieri
+Lophozonia menziesii
 </td>
 <td style="text-align:left;">
-Thesium billardieri
+Lophozonia menziesii
 </td>
 <td style="text-align:left;">
-Thesium billardierei
+Lophozonia
+</td>
+<td style="text-align:right;">
+20249
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Hugonia sp.
+Juncus gerardi
 </td>
 <td style="text-align:left;">
-Hugonia sp.
+Juncus gerardi
 </td>
 <td style="text-align:left;">
-Hugonia
+Juncus gerardii
+</td>
+<td style="text-align:right;">
+19094
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Coreopsis falcata
+Sphagnum species
 </td>
 <td style="text-align:left;">
-Coreopsis falcata
+Sphagnum species
 </td>
 <td style="text-align:left;">
-Coreopsis gladiata
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Vismia species [CMG 3029]
-</td>
-<td style="text-align:left;">
-Vismia species [CMG 3029]
-</td>
-<td style="text-align:left;">
-Vismia
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Bufonia mauritanica
-</td>
-<td style="text-align:left;">
-Bufonia mauritanica
-</td>
-<td style="text-align:left;">
-Bufonia perennis
-</td>
-</tr>
-</tbody>
-</table>
-<p>Check the most common species names from DT after matching to backbone</p>
-<pre class="r"><code>name.check.freq &lt;- DT1 %&gt;% 
-  dplyr::select(`Turboveg2 concept`:`Matched concept`, Name_short) %&gt;% 
-  rename(Name_TNRS=Name_short) %&gt;% 
-  group_by(`Turboveg2 concept`, `Matched concept`, Name_TNRS) %&gt;% 
-  summarize(n=n()) %&gt;% 
-  mutate(Matched_short=word(`Matched concept`, start = 1L, end=2L)) %&gt;% 
-  filter(is.na(Name_TNRS) | Matched_short != Name_TNRS) %&gt;%
-  dplyr::select(-Matched_short) %&gt;% 
-  ungroup() %&gt;% 
-  arrange(desc(n)) </code></pre>
-<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
-<caption>
-Check 40 most common species names from DT that changed name after matching to backbone
-</caption>
-<thead>
-<tr>
-<th style="text-align:left;">
-Turboveg2 concept
-</th>
-<th style="text-align:left;">
-Matched concept
-</th>
-<th style="text-align:left;">
-Name_TNRS
-</th>
-<th style="text-align:right;">
-n
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:left;">
-Deschampsia flexuosa
-</td>
-<td style="text-align:left;">
-Avenella flexuosa
-</td>
-<td style="text-align:left;">
-Deschampsia flexuosa
-</td>
-<td style="text-align:right;">
-126515
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Festuca pratensis
-</td>
-<td style="text-align:left;">
-Schedonorus pratensis
-</td>
-<td style="text-align:left;">
-Festuca pratensis
-</td>
-<td style="text-align:right;">
-84008
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Elymus repens
-</td>
-<td style="text-align:left;">
-Elytrigia repens
-</td>
-<td style="text-align:left;">
-Elymus repens
-</td>
-<td style="text-align:right;">
-82891
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Phalaris arundinacea
-</td>
-<td style="text-align:left;">
-Phalaroides arundinacea
-</td>
-<td style="text-align:left;">
-Phalaris arundinacea
-</td>
-<td style="text-align:right;">
-75296
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Bryophyta species
-</td>
-<td style="text-align:left;">
-Bryophyta species
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-74393
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Poa annua
-</td>
-<td style="text-align:left;">
-Ochlopoa annua
-</td>
-<td style="text-align:left;">
-Poa annua
-</td>
-<td style="text-align:right;">
-67460
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Potentilla anserina
-</td>
-<td style="text-align:left;">
-Argentina anserina
-</td>
-<td style="text-align:left;">
-Potentilla anserina
+Sphagnum
 </td>
 <td style="text-align:right;">
-63786
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Taraxacum sect. Ruderalia
-</td>
-<td style="text-align:left;">
-Taraxacum sect. Taraxacum
-</td>
-<td style="text-align:left;">
-Taraxacum
-</td>
-<td style="text-align:right;">
-58429
+18293
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Taraxacum species
+Festuca rupicola
 </td>
 <td style="text-align:left;">
-Taraxacum species
+Festuca stricta subsp. sulcata
 </td>
 <td style="text-align:left;">
-Taraxacum
+Festuca rupicola
 </td>
 <td style="text-align:right;">
-57167
+18010
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Cornus sanguinea
+Rosa species
 </td>
 <td style="text-align:left;">
-Cornus sanguinea
+Rosa species
 </td>
 <td style="text-align:left;">
-Cornus controversa
+Rosa
 </td>
 <td style="text-align:right;">
-52651
+16657
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Elytrigia repens
+Podocarpus laetus
 </td>
 <td style="text-align:left;">
-Elytrigia repens
+Podocarpus laetus
 </td>
 <td style="text-align:left;">
-Elymus repens
+Podocarpus spinulosus
 </td>
 <td style="text-align:right;">
-51670
+16356
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Taraxacum officinale
+Bromus tectorum
 </td>
 <td style="text-align:left;">
-Taraxacum sect. Taraxacum
+Anisantha tectorum
 </td>
 <td style="text-align:left;">
-Taraxacum
+Bromus tectorum
 </td>
 <td style="text-align:right;">
-50502
+16305
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Weinmannia racemosa
+Carex species
 </td>
 <td style="text-align:left;">
-Weinmannia racemosa
+Carex species
 </td>
 <td style="text-align:left;">
-Leiospermum racemosum
+Carex
 </td>
 <td style="text-align:right;">
-38269
+15744
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Bromus erectus
+Ripogonum scandens
 </td>
 <td style="text-align:left;">
-Bromopsis erecta
+Ripogonum scandens
 </td>
 <td style="text-align:left;">
-Bromus erectus
+Rhipogonum
 </td>
 <td style="text-align:right;">
-33765
+14984
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Cladonia species
+Rubus hirtus
 </td>
 <td style="text-align:left;">
-Cladonia species
+Rubus hirtus aggr.
 </td>
 <td style="text-align:left;">
-Cladonia
+Rubus proiectus
 </td>
 <td style="text-align:right;">
-32464
+14191
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Avenella flexuosa
+Avenula pubescens
 </td>
 <td style="text-align:left;">
-Avenella flexuosa
+Avenula pubescens
 </td>
 <td style="text-align:left;">
-Deschampsia flexuosa
+Helictotrichon pubescens
 </td>
 <td style="text-align:right;">
-30787
+13490
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Rubus sect. Rubus
+Notogrammitis billardierei
 </td>
 <td style="text-align:left;">
-Rubus sect. Rubus
+Notogrammitis billardierei
 </td>
 <td style="text-align:left;">
-Rubus
+NA
 </td>
 <td style="text-align:right;">
-28684
+13117
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Festuca arundinacea
+Crataegus species
 </td>
 <td style="text-align:left;">
-Schedonorus arundinaceus
+Crataegus species
 </td>
 <td style="text-align:left;">
-Festuca arundinacea
+Crataegus
 </td>
 <td style="text-align:right;">
-26124
+13072
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Trientalis europaea
+Helictotrichon pubescens
 </td>
 <td style="text-align:left;">
-Trientalis europaea
+Avenula pubescens
 </td>
 <td style="text-align:left;">
-Lysimachia europaea
+Helictotrichon pubescens
 </td>
 <td style="text-align:right;">
-25940
+12941
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Rubus fruticosus aggr.
+Erophila verna
 </td>
 <td style="text-align:left;">
-Rubus fruticosus aggr.
+Draba verna
 </td>
 <td style="text-align:left;">
-Rubus vestitus
+Erophila verna
 </td>
 <td style="text-align:right;">
-23669
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Glaux maritima
-</td>
-<td style="text-align:left;">
-Glaux maritima
-</td>
-<td style="text-align:left;">
-Lysimachia maritima
-</td>
-<td style="text-align:right;">
-23306
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Taraxacum officinale aggr.
-</td>
-<td style="text-align:left;">
-Taraxacum sect. Taraxacum
-</td>
-<td style="text-align:left;">
-Taraxacum
-</td>
-<td style="text-align:right;">
-22837
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Rubus species
-</td>
-<td style="text-align:left;">
-Rubus species
-</td>
-<td style="text-align:left;">
-Rubus
-</td>
-<td style="text-align:right;">
-22098
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Festuca gigantea
-</td>
-<td style="text-align:left;">
-Schedonorus giganteus
-</td>
-<td style="text-align:left;">
-Festuca gigantea
-</td>
-<td style="text-align:right;">
-20917
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Taraxacum sectie Ruderalia
-</td>
-<td style="text-align:left;">
-Taraxacum sect. Taraxacum
-</td>
-<td style="text-align:left;">
-Taraxacum
-</td>
-<td style="text-align:right;">
-20888
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Lophozonia menziesii
-</td>
-<td style="text-align:left;">
-Lophozonia menziesii
-</td>
-<td style="text-align:left;">
-Lophozonia
-</td>
-<td style="text-align:right;">
-20249
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Juncus gerardi
-</td>
-<td style="text-align:left;">
-Juncus gerardi
-</td>
-<td style="text-align:left;">
-Juncus gerardii
-</td>
-<td style="text-align:right;">
-19094
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Sphagnum species
-</td>
-<td style="text-align:left;">
-Sphagnum species
-</td>
-<td style="text-align:left;">
-Sphagnum
-</td>
-<td style="text-align:right;">
-18293
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Festuca rupicola
-</td>
-<td style="text-align:left;">
-Festuca stricta subsp. sulcata
-</td>
-<td style="text-align:left;">
-Festuca rupicola
-</td>
-<td style="text-align:right;">
-18010
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Rosa species
-</td>
-<td style="text-align:left;">
-Rosa species
-</td>
-<td style="text-align:left;">
-Rosa
-</td>
-<td style="text-align:right;">
-16657
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Podocarpus laetus
-</td>
-<td style="text-align:left;">
-Podocarpus laetus
-</td>
-<td style="text-align:left;">
-Podocarpus spinulosus
-</td>
-<td style="text-align:right;">
-16356
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Bromus tectorum
-</td>
-<td style="text-align:left;">
-Anisantha tectorum
-</td>
-<td style="text-align:left;">
-Bromus tectorum
-</td>
-<td style="text-align:right;">
-16305
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Carex species
-</td>
-<td style="text-align:left;">
-Carex species
-</td>
-<td style="text-align:left;">
-Carex
-</td>
-<td style="text-align:right;">
-15744
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Ripogonum scandens
-</td>
-<td style="text-align:left;">
-Ripogonum scandens
-</td>
-<td style="text-align:left;">
-Rhipogonum
-</td>
-<td style="text-align:right;">
-14984
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Rubus hirtus
-</td>
-<td style="text-align:left;">
-Rubus hirtus aggr.
-</td>
-<td style="text-align:left;">
-Rubus proiectus
-</td>
-<td style="text-align:right;">
-14191
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Avenula pubescens
-</td>
-<td style="text-align:left;">
-Avenula pubescens
-</td>
-<td style="text-align:left;">
-Helictotrichon pubescens
-</td>
-<td style="text-align:right;">
-13490
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Notogrammitis billardierei
-</td>
-<td style="text-align:left;">
-Notogrammitis billardierei
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:right;">
-13117
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Crataegus species
-</td>
-<td style="text-align:left;">
-Crataegus species
-</td>
-<td style="text-align:left;">
-Crataegus
-</td>
-<td style="text-align:right;">
-13072
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Helictotrichon pubescens
-</td>
-<td style="text-align:left;">
-Avenula pubescens
-</td>
-<td style="text-align:left;">
-Helictotrichon pubescens
-</td>
-<td style="text-align:right;">
-12941
-</td>
-</tr>
-<tr>
-<td style="text-align:left;">
-Erophila verna
-</td>
-<td style="text-align:left;">
-Draba verna
-</td>
-<td style="text-align:left;">
-Erophila verna
-</td>
-<td style="text-align:right;">
-12646
-</td>
-</tr>
-</tbody>
-</table>
-</div>
-<div id="complete-field-taxon-group" class="section level2">
-<h2>Complete field <code>taxon group</code></h2>
-<p><code>Taxon group</code> information is only available for 35708898 entries, but absent for 7394414. To improve the completeness of this field, we derive additional info from the <code>Backbone</code>, and merge it with the data already present in <code>DT</code>.</p>
-<pre class="r"><code>table(DT1$`Taxon group`, exclude=NULL)</code></pre>
-<pre><code>## 
-##           Alga         Lichen           Moss       Mushroom      Stonewort 
-##           9497         324080        2035007            513          12166 
-##        Unknown Vascular plant 
-##        7394414       33327635</code></pre>
-<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
-  mutate(`Taxon group`=ifelse(`Taxon group`==&quot;Unknown&quot;, NA, `Taxon group`)) %&gt;% 
-  mutate(Taxongroup_BB=ifelse(Taxongroup_BB==&quot;Unknown&quot;, NA, Taxongroup_BB)) %&gt;% 
-  mutate(`Taxon group`=coalesce(`Taxon group`, Taxongroup_BB)) %&gt;% 
-  dplyr::select(-Taxongroup_BB)
-
-
-table(DT1$`Taxon group`, exclude=NULL)</code></pre>
-<pre><code>## 
-##           Alga         Lichen           Moss       Mushroom      Stonewort 
-##           9991         366997        2090994            513          12166 
-## Vascular plant           &lt;NA&gt; 
-##       40532073          90578</code></pre>
-<p>Those taxa for which a measuress of Basal Area exists can be safely assumed to belong to vascular plants</p>
-<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
-  mutate(`Taxon group`=replace(`Taxon group`, 
-                               list=`Cover code`==&quot;x_BA&quot;, 
-                               values=&quot;Vascular plant&quot;))</code></pre>
-<p>Cross-complement <code>Taxon group</code> information. This means that, whenever a taxon is marked to belong to one group, then assign the same taxon to that group throughout the <code>DT</code> table.</p>
-<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
-  left_join(DT1 %&gt;% 
-              filter(!is.na(Name_short)) %&gt;% 
-              filter(`Taxon group` != &quot;Unknown&quot;) %&gt;% 
-              dplyr::select(Name_short, `Taxon group`) %&gt;% 
-              distinct(Name_short, .keep_all=T) %&gt;% 
-              rename(TaxonGroup_compl=`Taxon group`),
-            by=&quot;Name_short&quot;) %&gt;% 
-  mutate(`Taxon group`=coalesce(`Taxon group`, TaxonGroup_compl)) %&gt;% 
-  dplyr::select(-TaxonGroup_compl)
-
-table(DT1$`Taxon group`, exclude=NULL)</code></pre>
-<pre><code>## 
-##           Alga         Lichen           Moss       Mushroom      Stonewort 
-##           9994         367586        2100627            513          12166 
-## Vascular plant           &lt;NA&gt; 
-##       40533651          78775</code></pre>
-<p>Check species with conflicting <code>Taxon group</code> information and fix manually.</p>
-<pre class="r"><code>#check for conflicts in attribution of genera to Taxon groups
-DT1 %&gt;% 
-  filter(!is.na(Name_short)) %&gt;% 
-  filter(!is.na(`Taxon group`)) %&gt;% 
-  distinct(Name_short, `Taxon group`) %&gt;% 
-  mutate(Genus=word(Name_short,1)) %&gt;% 
-  dplyr::select(Genus, `Taxon group`) %&gt;% 
-  distinct() %&gt;% 
-  group_by(Genus) %&gt;% 
-  summarize(n=n()) %&gt;% 
-  filter(n&gt;1) %&gt;% 
-  arrange(desc(n))</code></pre>
-<pre><code>## # A tibble: 16 x 2
-##    Genus                 n
-##    &lt;chr&gt;             &lt;int&gt;
-##  1 Brachytheciastrum     2
-##  2 Brachythecium         2
-##  3 Chara                 2
-##  4 Characeae             2
-##  5 Hepatica              2
-##  6 Hypericum             2
-##  7 Hypnum                2
-##  8 Lamprothamnus         2
-##  9 Leptorhaphis          2
-## 10 Lychnothamnus         2
-## 11 Nitella               2
-## 12 Oxymitra              2
-## 13 Pancovia              2
-## 14 Peltaria              2
-## 15 Tonina                2
-## 16 Zygodon               2</code></pre>
-<p>Manually fix some known problems in <code>Taxon group</code> attribution. Some lists of taxa (e.g., <code>lichen.genera</code>, <code>mushroom.genera</code>) were defined when building the <code>Backbone</code>.</p>
-<pre class="r"><code>#Attach genus info
-DT1 &lt;- DT1 %&gt;% 
-    left_join(Backbone %&gt;% 
-              dplyr::select(Name_sPlot_TRY, Name_short) %&gt;%
-              mutate(Genus=word(Name_short, 1, 1)) %&gt;%
-              dplyr::select(-Name_short) %&gt;% 
-              rename(`Matched concept`=Name_sPlot_TRY),
-            by=&quot;Matched concept&quot;) %&gt;% 
-    mutate(`Taxon group`=fct_collapse(`Taxon group`, 
-                                    Alga_Stonewort=c(&quot;Alga&quot;, &quot;Stonewort&quot;)))
-#manually fix some known problems
-mosses.gen    &lt;- c(&quot;Hypnum&quot;, &quot;Brachytheciastrum&quot;,&quot;Brachythecium&quot;,&quot;Hypnum&quot;,  
-                  &quot;Zygodon&quot;, &quot;Oxymitra&quot;, &quot;Bryophyta&quot;, &quot;Musci&quot;, '\\\&quot;Moos\\\&quot;')
-vascular.gen  &lt;- c(&quot;Polystichum&quot;, &quot;Hypericum&quot;, &quot;Peltaria&quot;, &quot;Pancovia&quot;, &quot;Calythrix&quot;, &quot;Ripogonum&quot;,
-                  &quot;Notogrammitis&quot;, &quot;Fuscospora&quot;, &quot;Lophozonia&quot;,  &quot;Rostellularia&quot;, 
-                  &quot;Hesperostipa&quot;, &quot;Microsorium&quot;, &quot;Angiosperm&quot;,&quot;Dicotyledonae&quot;, &quot;Spermatophy&quot;)
-alga.gen      &lt;- c(&quot;Chara&quot;, &quot;Characeae&quot;, &quot;Tonina&quot;, &quot;Nostoc&quot;, &quot;Entermorpha&quot;, &quot;Hydrocoleum&quot; )
- 
-DT1 &lt;- DT1 %&gt;% 
-  mutate(`Taxon group`=replace(`Taxon group`, 
-                               list=Genus %in% mosses.gen, 
-                               values=&quot;Moss&quot;)) %&gt;% 
-  mutate(`Taxon group`=replace(`Taxon group`, 
-                               list=Genus %in% vascular.gen, 
-                               values=&quot;Vascular plant&quot;)) %&gt;% 
-  mutate(`Taxon group`=replace(`Taxon group`, 
-                               list=Genus %in% alga.gen, 
-                               values=&quot;Alga_Stonewort&quot;)) %&gt;% 
-  mutate(`Taxon group`=replace(`Taxon group`, 
-                               list=Genus %in% c(lichen.genera, &quot;Lichenes&quot;),
-                               values=&quot;Lichen&quot;)) %&gt;% 
-  mutate(`Taxon group`=replace(`Taxon group`, 
-                               list=Genus %in% mushroom, 
-                               values=&quot;Mushroom&quot;))
-  
-table(DT1$`Taxon group`, exclude=NULL)</code></pre>
-<pre><code>## 
-## Alga_Stonewort         Lichen           Moss       Mushroom Vascular plant 
-##          23071         367587        2100767            513       40535429 
-##           &lt;NA&gt; 
-##          75945</code></pre>
-<p>Delete all records of fungi, and use lists of genera to fix additional problems. While in the previous round the matching was done on the resolved Genus name, here the match is based on unresolved Genus names.</p>
-<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
-  dplyr::select(-Genus) %&gt;% 
-  left_join(DT1 %&gt;% 
-              distinct(`Matched concept`) %&gt;% 
-              mutate(Genus=word(`Matched concept`, 1)), 
-            by=&quot;Matched concept&quot;) %&gt;% 
-  mutate(`Taxon group`=replace(`Taxon group`, 
-                                 list=Genus %in% mushroom, 
-                                 values = &quot;Mushroom&quot;)) %&gt;% 
-  mutate(`Taxon group`=replace(`Taxon group`, 
-                               list=Genus %in% lichen.genera, 
-                               values=&quot;Lichen&quot;)) %&gt;% 
-  mutate(`Taxon group`=replace(`Taxon group`, 
-                               list=Genus %in% mosses.gen, 
-                               values=&quot;Moss&quot;)) %&gt;% 
-  mutate(`Taxon group`=replace(`Taxon group`, 
-                               list=Genus %in% vascular.gen, 
-                               values=&quot;Vascular plant&quot;)) %&gt;% 
-  mutate(`Taxon group` = fct_explicit_na(`Taxon group`, &quot;Unknown&quot;)) %&gt;% 
-  filter(`Taxon group`!=&quot;Mushroom&quot;) %&gt;%
-  mutate(`Taxon group`=factor(`Taxon group`))
-  #dplyr::select(-Genus)
-
-table(DT1$`Taxon group`, exclude=NULL)</code></pre>
-<pre><code>## 
-## Alga_Stonewort         Lichen           Moss Vascular plant        Unknown 
-##          23071         367933        2103429       40572721          35721</code></pre>
-<p>After cross-checking all sources of information, the number of taxa not having <code>Taxon group</code> information decreased to 35721 entries</p>
-</div>
-<div id="calculate-relative-cover-per-layer-per-species-in-each-plot" class="section level2">
-<h2>Calculate relative cover per layer per species in each plot</h2>
-<p>Species abundance information varies across datasets and plots. While for the large majority of plots abundance values are returned as percentage cover, there is a subset where abundance is returned with different scales. These are marked in the column <code>Cover code</code> as follows:  <em>x_BA</em> - Basal Area<br />
-<em>x_IC</em> - Individual count<br />
-<em>x_SC</em> - Stem count<br />
-<em>x_IV</em> - Relative Importance<br />
-<em>x_RF</em> - Relative Frequency<br />
-<em>x</em> - Presence absence<br />
- Still, it’s not really intuitive that in case <code>Cover code</code> belongs to one of the classes above, then the actual abundance value is stored in the <code>x_</code> column. This stems from the way this data is stored in <code>TURBOVEG</code>.<br />
-To make the cover data more user friendly, I simplify the way cover is stored, so that there are only two columns:<br />
-<code>Ab_scale</code> - to report the type of scale used<br />
-<code>Abundance</code> - to coalesce the cover\abundance values previously in the columns <code>Cover %</code> and <code>x_</code>.</p>
-<pre class="r"><code># Create Ab_scale field
-DT1 &lt;- DT1 %&gt;% 
-  mutate(Ab_scale = ifelse(`Cover code` %in% 
-                             c(&quot;x_BA&quot;, &quot;x_IC&quot;, &quot;x_SC&quot;, &quot;x_IV&quot;, &quot;x_RF&quot;) &amp; !is.na(x_), 
-                           `Cover code`, 
-                           &quot;CoverPerc&quot;))  </code></pre>
-<p>Fix some errors. There are some plots where all species have zeros in the field <code>Cover %</code>. Some of them are marked as p\a (<code>Cover code==&quot;x&quot;</code>), but other not. Consider all this plots as presence\absence and transform <code>Cover %</code> to 1.<br />
-!! There are some other plots having layers with all zeros. This should be double-checked, but are not being transformed here !!</p>
-<pre class="r"><code>allzeroes &lt;- DT1 %&gt;% 
-  group_by(PlotObservationID) %&gt;% 
-  summarize(allzero=all(`Cover %`==0) ) %&gt;% 
-  filter(allzero==T) %&gt;% 
-  pull(PlotObservationID)
-DT1 &lt;- DT1 %&gt;% 
-  mutate(`Cover %`=replace(`Cover %`, 
-                           list=(PlotObservationID %in% allzeroes), 
-                           values=1)) %&gt;% 
-  mutate(`Cover code`=replace(`Cover code`, 
-                           list=(PlotObservationID %in% allzeroes), 
-                           values=&quot;x&quot;))</code></pre>
-<p>Consider all plot-layer combinations where <code>Cover code==&quot;x&quot;</code>, and all the entries of the field <code>Cover % == 1</code> as presence\absence data, and transform <code>Ab_scale</code> to “pa”. This is done to avoid confusion with plots where <code>Cover code==&quot;x&quot;</code> but “x” has to be intended as a class in the cover scale used. For p\a plots, replace the field <code>Cover %</code> with NA, and assign the value 1 to the field <code>x_</code>.</p>
-<pre class="r"><code>#plots with at least one entry in Cover code==&quot;x&quot;
-sel &lt;- DT1 %&gt;% 
-  filter(`Cover code`==&quot;x&quot;) %&gt;% 
-  distinct(PlotObservationID) %&gt;% 
-  pull(PlotObservationID)
-
-DT1 &lt;- DT1 %&gt;% 
-  left_join(DT1 %&gt;%
-              filter(PlotObservationID %in% sel) %&gt;% 
-              group_by(PlotObservationID, Layer) %&gt;% 
-              mutate(to.pa= all(`Cover %`==1 &amp; `Cover code`==&quot;x&quot;)) %&gt;% 
-              distinct(PlotObservationID, Layer, to.pa), 
-            by=c(&quot;PlotObservationID&quot;, &quot;Layer&quot;)) %&gt;% 
-  replace_na(list(to.pa=F)) %&gt;% 
-  mutate(Ab_scale=ifelse(to.pa==T, &quot;pa&quot;, Ab_scale)) %&gt;% 
-  mutate(`Cover %`=ifelse(to.pa==T, NA, `Cover %`)) %&gt;% 
-  mutate(x_=ifelse(to.pa==T, 1, x_)) %&gt;% 
-  dplyr::select(-to.pa)</code></pre>
-<p>There are also some plots having different cover scales in the same layer. They are not many, and I will reduce their cover value to p\a.<br />
-Find these plots first:</p>
-<pre class="r"><code>mixed &lt;- DT1 %&gt;% 
-  distinct(PlotObservationID, Ab_scale, Layer) %&gt;% 
-  group_by(PlotObservationID, Layer) %&gt;% 
-  summarize(n=n()) %&gt;% 
-  filter(n&gt;1) %&gt;% 
-  pull(PlotObservationID) %&gt;% 
-  unique()
-length(mixed)</code></pre>
-<pre><code>## [1] 335</code></pre>
-<p>Transform these plots to p\a and correct field <code>Ab_scale</code>. Note: the column <code>Abundance</code> is only created here.</p>
-<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
-  mutate(Ab_scale=replace(Ab_scale, 
-                           list=PlotObservationID %in% mixed, 
-                           values=&quot;mixed&quot;)) %&gt;%
-  mutate(`Cover %`=replace(`Cover %`, 
-                           list=Ab_scale==&quot;mixed&quot;,
-                           values=NA)) %&gt;% 
-  mutate(x_=replace(x_,  list=Ab_scale==&quot;mixed&quot;, values=1)) %&gt;% 
-  mutate(Ab_scale=replace(Ab_scale, list=Ab_scale==&quot;mixed&quot;, values=&quot;pa&quot;)) %&gt;% 
-  #Create additional field Abundance to avoid overwriting original data
-  mutate(Abundance =ifelse(Ab_scale %in% c(&quot;x_BA&quot;, &quot;x_IC&quot;, &quot;x_SC&quot;, &quot;x_IV&quot;, &quot;x_RF&quot;, &quot;pa&quot;), 
-                          x_, `Cover %`)) %&gt;% 
-  mutate(Abundance=replace(Abundance, 
-                           list=PlotObservationID %in% mixed, 
-                           values=1))</code></pre>
-<p>Double check and summarize <code>Ab_scales</code></p>
-<pre class="r"><code>scale_check &lt;- DT1 %&gt;% 
-  distinct(PlotObservationID, Layer, Ab_scale) %&gt;% 
-  group_by(PlotObservationID) %&gt;% 
-  summarise(Ab_scale_combined=ifelse(length(unique(Ab_scale))==1, 
-                                     unique(Ab_scale), 
-                                     &quot;Multiple_scales&quot;))
-
-nrow(scale_check)== length(unique(DT1$PlotObservationID))</code></pre>
-<pre><code>## [1] TRUE</code></pre>
-<pre class="r"><code>table(scale_check$Ab_scale_combined)</code></pre>
-<pre><code>## 
-##       CoverPerc Multiple_scales              pa            x_BA            x_IC 
-##         1691454            2084          271057            6293            2092 
-##            x_IV            x_RF            x_SC 
-##             146             585            4878</code></pre>
-<p>Transform abundances to relative abundance. For consistency with the previous version of sPlot, this field is called <code>Relative cover</code>.<br />
-<em>Watch out</em> - Even plots with p\a information are transformed to relative cover.</p>
-<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
-  left_join(x=., 
-            y={.} %&gt;%
-              group_by(PlotObservationID) %&gt;% 
-              summarize(tot.abundance=sum(Abundance)), 
-            by=c(&quot;PlotObservationID&quot;)) %&gt;% 
-  mutate(Relative.cover=Abundance/tot.abundance)
-
-# check: there should be no plot where the sum of all relative covers !=0
-DT1 %&gt;% 
-  group_by(PlotObservationID) %&gt;% 
-  summarize(tot.cover=sum(Relative.cover), 
-            num.layers=sum(unique(Layer))) %&gt;% 
-  filter(tot.cover != num.layers) %&gt;% 
-  nrow()</code></pre>
-<pre><code>## [1] 1958816</code></pre>
-</div>
-<div id="clean-dt-and-export" class="section level2">
-<h2>Clean DT and export</h2>
-<pre class="r"><code>DT2 &lt;- DT1 %&gt;% 
-  dplyr::select(PlotObservationID, Name_short, `Turboveg2 concept`, Rank_correct, `Taxon group`, Layer:x_, Ab_scale, Abundance, Relative.cover ) %&gt;% 
-  rename(species_original=`Turboveg2 concept`, 
-         species=Name_short,
-         taxon_group=`Taxon group`, 
-         cover_perc=`Cover %`, 
-         cover_code=`Cover code`)</code></pre>
-<p>The output of the DT table contains 43102875 records, over 1978589 plots. The total number of taxa is 116256 and 76912, before and after standardization, respectively. Information on the <code>Taxon group</code> is available for 76548 standardized species.</p>
-<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
-<caption>
-Example of initial DT table (same 3 randomly selected plots shown above)
-</caption>
-<thead>
-<tr>
-<th style="text-align:right;">
-PlotObservationID
-</th>
-<th style="text-align:left;">
-species
-</th>
-<th style="text-align:left;">
-species_original
-</th>
-<th style="text-align:left;">
-Rank_correct
-</th>
-<th style="text-align:left;">
-taxon_group
-</th>
-<th style="text-align:right;">
-Layer
-</th>
-<th style="text-align:right;">
-cover_perc
-</th>
-<th style="text-align:left;">
-cover_code
-</th>
-<th style="text-align:right;">
-x_
-</th>
-<th style="text-align:left;">
-Ab_scale
-</th>
-<th style="text-align:right;">
-Abundance
-</th>
-<th style="text-align:right;">
-Relative.cover
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:right;">
-354857
-</td>
-<td style="text-align:left;">
-Agrostis capillaris
-</td>
-<td style="text-align:left;">
-Agrostis capillaris
-</td>
-<td style="text-align:left;">
-species
-</td>
-<td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-NA
-</td>
-<td style="text-align:left;">
-x
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:left;">
-pa
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0.1111111
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-354857
-</td>
-<td style="text-align:left;">
-Ammophila arenaria
-</td>
-<td style="text-align:left;">
-Ammophila arenaria
-</td>
-<td style="text-align:left;">
-species
-</td>
-<td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-NA
-</td>
-<td style="text-align:left;">
-x
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:left;">
-pa
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0.1111111
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-354857
-</td>
-<td style="text-align:left;">
-NA
-</td>
-<td style="text-align:left;">
-Bryophyta species
-</td>
-<td style="text-align:left;">
-higher
-</td>
-<td style="text-align:left;">
-Moss
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-NA
-</td>
-<td style="text-align:left;">
-x
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:left;">
-pa
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0.1111111
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-354857
-</td>
-<td style="text-align:left;">
-Carex arenaria
-</td>
-<td style="text-align:left;">
-Carex arenaria
-</td>
-<td style="text-align:left;">
-species
-</td>
-<td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-NA
-</td>
-<td style="text-align:left;">
-x
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:left;">
-pa
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0.1111111
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-354857
-</td>
-<td style="text-align:left;">
-Festuca vaginata
-</td>
-<td style="text-align:left;">
-Festuca rubra subsp. arenaria
-</td>
-<td style="text-align:left;">
-species
-</td>
-<td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-NA
-</td>
-<td style="text-align:left;">
-x
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:left;">
-pa
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0.1111111
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-354857
-</td>
-<td style="text-align:left;">
-Galium verum
-</td>
-<td style="text-align:left;">
-Galium verum
-</td>
-<td style="text-align:left;">
-species
-</td>
-<td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-NA
-</td>
-<td style="text-align:left;">
-x
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:left;">
-pa
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0.1111111
+12646
 </td>
 </tr>
+</tbody>
+</table>
+</div>
+<div id="complete-field-taxon-group" class="section level2">
+<h2>Complete field <code>taxon group</code></h2>
+<p><code>Taxon group</code> information is only available for 35708898 entries, but absent for 7394395. To improve the completeness of this field, we derive additional info from the <code>Backbone</code>, and merge it with the data already present in <code>DT</code>.</p>
+<pre class="r"><code>table(DT1$`Taxon group`, exclude=NULL)</code></pre>
+<pre><code>## 
+##           Alga         Lichen           Moss       Mushroom      Stonewort 
+##           9497         324080        2035007            513          12166 
+##        Unknown Vascular plant 
+##        7394395       33327635</code></pre>
+<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
+  mutate(`Taxon group`=ifelse(`Taxon group`==&quot;Unknown&quot;, NA, `Taxon group`)) %&gt;% 
+  mutate(Taxongroup_BB=ifelse(Taxongroup_BB==&quot;Unknown&quot;, NA, Taxongroup_BB)) %&gt;% 
+  mutate(`Taxon group`=coalesce(`Taxon group`, Taxongroup_BB)) %&gt;% 
+  dplyr::select(-Taxongroup_BB)
+
+
+table(DT1$`Taxon group`, exclude=NULL)</code></pre>
+<pre><code>## 
+##           Alga         Lichen           Moss       Mushroom      Stonewort 
+##           9991         366997        2090994            513          12166 
+## Vascular plant           &lt;NA&gt; 
+##       40532027          90605</code></pre>
+<p>Those taxa for which a measures of Basal Area exists can be safely assumed to belong to vascular plants</p>
+<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
+  mutate(`Taxon group`=replace(`Taxon group`, 
+                               list=`Cover code`==&quot;x_BA&quot;, 
+                               values=&quot;Vascular plant&quot;))</code></pre>
+<p>Cross-complement <code>Taxon group</code> information. This means that, whenever a taxon is marked to belong to one group, then assign the same taxon to that group throughout the <code>DT</code> table.</p>
+<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
+  left_join(DT1 %&gt;% 
+              filter(!is.na(Name_short)) %&gt;% 
+              filter(`Taxon group` != &quot;Unknown&quot;) %&gt;% 
+              dplyr::select(Name_short, `Taxon group`) %&gt;% 
+              distinct(Name_short, .keep_all=T) %&gt;% 
+              rename(TaxonGroup_compl=`Taxon group`),
+            by=&quot;Name_short&quot;) %&gt;% 
+  mutate(`Taxon group`=coalesce(`Taxon group`, TaxonGroup_compl)) %&gt;% 
+  dplyr::select(-TaxonGroup_compl)
+
+table(DT1$`Taxon group`, exclude=NULL)</code></pre>
+<pre><code>## 
+##           Alga         Lichen           Moss       Mushroom      Stonewort 
+##           9994         367586        2100627            513          12193 
+## Vascular plant           &lt;NA&gt; 
+##       40533605          78775</code></pre>
+<p>Check species with conflicting <code>Taxon group</code> information and fix manually.</p>
+<pre class="r"><code>#check for conflicts in attribution of genera to Taxon groups
+DT1 %&gt;% 
+  filter(!is.na(Name_short)) %&gt;% 
+  filter(!is.na(`Taxon group`)) %&gt;% 
+  distinct(Name_short, `Taxon group`) %&gt;% 
+  mutate(Genus=word(Name_short,1)) %&gt;% 
+  dplyr::select(Genus, `Taxon group`) %&gt;% 
+  distinct() %&gt;% 
+  group_by(Genus) %&gt;% 
+  summarize(n=n()) %&gt;% 
+  filter(n&gt;1) %&gt;% 
+  arrange(desc(n))</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
+<pre><code>## # A tibble: 15 x 2
+##    Genus                 n
+##    &lt;chr&gt;             &lt;int&gt;
+##  1 Brachytheciastrum     2
+##  2 Brachythecium         2
+##  3 Chara                 2
+##  4 Characeae             2
+##  5 Hepatica              2
+##  6 Hypericum             2
+##  7 Hypnum                2
+##  8 Leptorhaphis          2
+##  9 Lychnothamnus         2
+## 10 Nitella               2
+## 11 Oxymitra              2
+## 12 Pancovia              2
+## 13 Peltaria              2
+## 14 Tonina                2
+## 15 Zygodon               2</code></pre>
+<p>Manually fix some known problems in <code>Taxon group</code> attribution. Some lists of taxa (e.g., <code>lichen.genera</code>, <code>mushroom.genera</code>) were defined when building the <code>Backbone</code>.</p>
+<pre class="r"><code>#Attach genus info
+DT1 &lt;- DT1 %&gt;% 
+    left_join(Backbone %&gt;% 
+              dplyr::select(Name_sPlot_TRY, Name_short) %&gt;%
+              mutate(Genus=word(Name_short, 1, 1)) %&gt;%
+              dplyr::select(-Name_short) %&gt;% 
+              rename(`Matched concept`=Name_sPlot_TRY),
+            by=&quot;Matched concept&quot;) %&gt;% 
+    mutate(`Taxon group`=fct_collapse(`Taxon group`, 
+                                    Alga_Stonewort=c(&quot;Alga&quot;, &quot;Stonewort&quot;)))
+#manually fix some known problems
+mosses.gen    &lt;- c(&quot;Hypnum&quot;, &quot;Brachytheciastrum&quot;,&quot;Brachythecium&quot;,&quot;Hypnum&quot;,  
+                  &quot;Zygodon&quot;, &quot;Oxymitra&quot;, &quot;Bryophyta&quot;, &quot;Musci&quot;, &#39;\\\&quot;Moos\\\&quot;&#39;)
+vascular.gen  &lt;- c(&quot;Polystichum&quot;, &quot;Hypericum&quot;, &quot;Peltaria&quot;, &quot;Pancovia&quot;, &quot;Calythrix&quot;, &quot;Ripogonum&quot;,
+                  &quot;Notogrammitis&quot;, &quot;Fuscospora&quot;, &quot;Lophozonia&quot;,  &quot;Rostellularia&quot;, 
+                  &quot;Hesperostipa&quot;, &quot;Microsorium&quot;, &quot;Angiosperm&quot;,&quot;Dicotyledonae&quot;, &quot;Spermatophy&quot;, 
+                  &quot;Oxymitra&quot;, &quot;Friesodielsia&quot;)
+alga.gen      &lt;- c(&quot;Chara&quot;, &quot;Characeae&quot;, &quot;Tonina&quot;, &quot;Nostoc&quot;, &quot;Entermorpha&quot;, &quot;Hydrocoleum&quot; )
+ 
+DT1 &lt;- DT1 %&gt;% 
+  mutate(`Taxon group`=replace(`Taxon group`, 
+                               list=Genus %in% mosses.gen, 
+                               values=&quot;Moss&quot;)) %&gt;% 
+  mutate(`Taxon group`=replace(`Taxon group`, 
+                               list=Genus %in% vascular.gen, 
+                               values=&quot;Vascular plant&quot;)) %&gt;% 
+  mutate(`Taxon group`=replace(`Taxon group`, 
+                               list=Genus %in% alga.gen, 
+                               values=&quot;Alga_Stonewort&quot;)) %&gt;% 
+  mutate(`Taxon group`=replace(`Taxon group`, 
+                               list=Genus %in% c(lichen.genera, &quot;Lichenes&quot;),
+                               values=&quot;Lichen&quot;)) %&gt;% 
+  mutate(`Taxon group`=replace(`Taxon group`, 
+                               list=Genus %in% mushroom, 
+                               values=&quot;Mushroom&quot;))
+  
+table(DT1$`Taxon group`, exclude=NULL)</code></pre>
+<pre><code>## 
+## Alga_Stonewort         Lichen           Moss       Mushroom Vascular plant 
+##          23098         367587        2100704            513       40535446 
+##           &lt;NA&gt; 
+##          75945</code></pre>
+<p>Delete all records of fungi, and use lists of genera to fix additional problems. While in the previous round the matching was done on the resolved Genus name, here the match is based on unresolved Genus names.</p>
+<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
+  dplyr::select(-Genus) %&gt;% 
+  left_join(DT1 %&gt;% 
+              distinct(`Matched concept`) %&gt;% 
+              mutate(Genus=word(`Matched concept`, 1)), 
+            by=&quot;Matched concept&quot;) %&gt;% 
+  mutate(`Taxon group`=replace(`Taxon group`, 
+                                 list=Genus %in% mushroom, 
+                                 values = &quot;Mushroom&quot;)) %&gt;% 
+  mutate(`Taxon group`=replace(`Taxon group`, 
+                               list=Genus %in% lichen.genera, 
+                               values=&quot;Lichen&quot;)) %&gt;% 
+  mutate(`Taxon group`=replace(`Taxon group`, 
+                               list=Genus %in% mosses.gen, 
+                               values=&quot;Moss&quot;)) %&gt;% 
+  mutate(`Taxon group`=replace(`Taxon group`, 
+                               list=Genus %in% vascular.gen, 
+                               values=&quot;Vascular plant&quot;)) %&gt;% 
+  mutate(`Taxon group` = fct_explicit_na(`Taxon group`, &quot;Unknown&quot;)) %&gt;% 
+  filter(`Taxon group`!=&quot;Mushroom&quot;) %&gt;%
+  mutate(`Taxon group`=factor(`Taxon group`))
+  #dplyr::select(-Genus)
+
+table(DT1$`Taxon group`, exclude=NULL)</code></pre>
+<pre><code>## 
+## Alga_Stonewort         Lichen           Moss Vascular plant        Unknown 
+##          23098         367933        2103361       40572743          35721</code></pre>
+<p>After cross-checking all sources of information, the number of taxa not having <code>Taxon group</code> information decreased to 35721 entries</p>
+</div>
+<div id="standardize-abundance-values" class="section level2">
+<h2>Standardize abundance values</h2>
+<p>Species abundance information varies across datasets and plots. While for the large majority of plots abundance values are returned as percentage cover, there is a subset where abundance is returned with different scales. These are marked in the column <code>Cover code</code> as follows:<br />
+ <em>x_BA</em> - Basal Area<br />
+<em>x_IC</em> - Individual count<br />
+<em>x_SC</em> - Stem count<br />
+<em>x_IV</em> - Relative Importance<br />
+<em>x_RF</em> - Relative Frequency<br />
+<em>x</em> - Presence absence<br />
+ Still, it’s not really intuitive that in case <code>Cover code</code> belongs to one of the classes above, then the actual abundance value is stored in the <code>x_</code> column. This stems from the way this data is stored in <code>TURBOVEG</code>.<br />
+To make the cover data more user friendly, I simplify the way cover it is stored, so that there are only two columns:<br />
+<code>Ab_scale</code> - to report the type of scale used<br />
+<code>Abundance</code> - to coalesce the cover\abundance values previously in the columns <code>Cover %</code> and <code>x_</code>.</p>
+<pre class="r"><code># Create Ab_scale field
+DT1 &lt;- DT1 %&gt;% 
+  mutate(Ab_scale = ifelse(`Cover code` %in% 
+                             c(&quot;x_BA&quot;, &quot;x_IC&quot;, &quot;x_SC&quot;, &quot;x_IV&quot;, &quot;x_RF&quot;) &amp; !is.na(x_), 
+                           `Cover code`, 
+                           &quot;CoverPerc&quot;))  </code></pre>
+<p>Fix some errors. There are some plots where all species have zeros in the field <code>Cover %</code>. Some of them are marked as p\a (<code>Cover code==&quot;x&quot;</code>), but other not. Consider all this plots as presence\absence and transform <code>Cover %</code> to 1.</p>
+<pre class="r"><code>allzeroes &lt;- DT1 %&gt;% 
+  group_by(PlotObservationID) %&gt;% 
+  summarize(allzero=all(`Cover %`==0) ) %&gt;% 
+  filter(allzero==T) %&gt;% 
+  pull(PlotObservationID)</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
+<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
+  mutate(`Cover %`=replace(`Cover %`, 
+                           list=(PlotObservationID %in% allzeroes), 
+                           values=1)) %&gt;% 
+  mutate(`Cover code`=replace(`Cover code`, 
+                           list=(PlotObservationID %in% allzeroes), 
+                           values=&quot;x&quot;))</code></pre>
+<p>Consider all plot-layer combinations where <code>Cover code==&quot;x&quot;</code>, and all the entries of the field <code>Cover % == 1</code> as presence\absence data, and transform <code>Ab_scale</code> to “pa”. This is done to avoid confusion with plots where <code>Cover code==&quot;x&quot;</code> but “x” has to be intended as a class in the cover scale used. For p\a plots, replace the field <code>Cover %</code> with NA, and assign the value 1 to the field <code>x_</code>.</p>
+<pre class="r"><code>#plots with at least one entry in Cover code==&quot;x&quot;
+sel &lt;- DT1 %&gt;% 
+  filter(`Cover code`==&quot;x&quot;) %&gt;% 
+  distinct(PlotObservationID) %&gt;% 
+  pull(PlotObservationID)
+
+DT1 &lt;- DT1 %&gt;% 
+  left_join(DT1 %&gt;%
+              filter(PlotObservationID %in% sel) %&gt;% 
+              group_by(PlotObservationID, Layer) %&gt;% 
+              mutate(to.pa= all(`Cover %`==1 &amp; `Cover code`==&quot;x&quot;)) %&gt;% 
+              distinct(PlotObservationID, Layer, to.pa), 
+            by=c(&quot;PlotObservationID&quot;, &quot;Layer&quot;)) %&gt;% 
+  replace_na(list(to.pa=F)) %&gt;% 
+  mutate(Ab_scale=ifelse(to.pa==T, &quot;pa&quot;, Ab_scale)) %&gt;% 
+  mutate(`Cover %`=ifelse(to.pa==T, NA, `Cover %`)) %&gt;% 
+  mutate(x_=ifelse(to.pa==T, 1, x_)) %&gt;% 
+  dplyr::select(-to.pa)</code></pre>
+<p>There are also some plots having different cover scales in the same layer. They are not many, and I will reduce their cover value to p\a.<br />
+Find these plots first:</p>
+<pre class="r"><code>mixed &lt;- DT1 %&gt;% 
+  distinct(PlotObservationID, Ab_scale, Layer) %&gt;% 
+  group_by(PlotObservationID, Layer) %&gt;% 
+  summarize(n=n()) %&gt;% 
+  filter(n&gt;1) %&gt;% 
+  pull(PlotObservationID) %&gt;% 
+  unique()</code></pre>
+<pre><code>## `summarise()` regrouping output by &#39;PlotObservationID&#39; (override with `.groups` argument)</code></pre>
+<pre class="r"><code>length(mixed)</code></pre>
+<pre><code>## [1] 335</code></pre>
+<p>Transform these plots to p\a and correct field <code>Ab_scale</code>. Note: the column <code>Abundance</code> is only created here.</p>
+<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
+  mutate(Ab_scale=replace(Ab_scale, 
+                           list=PlotObservationID %in% mixed, 
+                           values=&quot;mixed&quot;)) %&gt;%
+  mutate(`Cover %`=replace(`Cover %`, 
+                           list=Ab_scale==&quot;mixed&quot;,
+                           values=NA)) %&gt;% 
+  mutate(x_=replace(x_,  list=Ab_scale==&quot;mixed&quot;, values=1)) %&gt;% 
+  mutate(Ab_scale=replace(Ab_scale, list=Ab_scale==&quot;mixed&quot;, values=&quot;pa&quot;)) %&gt;% 
+  #Create additional field Abundance to avoid overwriting original data
+  mutate(Abundance =ifelse(Ab_scale %in% c(&quot;x_BA&quot;, &quot;x_IC&quot;, &quot;x_SC&quot;, &quot;x_IV&quot;, &quot;x_RF&quot;, &quot;pa&quot;), 
+                          x_, `Cover %`)) %&gt;% 
+  mutate(Abundance=replace(Abundance, 
+                           list=PlotObservationID %in% mixed, 
+                           values=1))</code></pre>
+<p>Double check and summarize <code>Ab_scales</code></p>
+<pre class="r"><code>scale_check &lt;- DT1 %&gt;% 
+  distinct(PlotObservationID, Layer, Ab_scale) %&gt;% 
+  group_by(PlotObservationID) %&gt;% 
+  summarise(Ab_scale_combined=ifelse(length(unique(Ab_scale))==1, 
+                                     unique(Ab_scale), 
+                                     &quot;Multiple_scales&quot;))</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
+<pre class="r"><code>nrow(scale_check)== length(unique(DT1$PlotObservationID))</code></pre>
+<pre><code>## [1] TRUE</code></pre>
+<pre class="r"><code>table(scale_check$Ab_scale_combined)</code></pre>
+<pre><code>## 
+##       CoverPerc Multiple_scales              pa            x_BA            x_IC 
+##         1691447            2084          271057            6293            2092 
+##            x_IV            x_RF            x_SC 
+##             146             585            4878</code></pre>
+</div>
+<div id="calculate-species-relative-covers-in-each-plot" class="section level2">
+<h2>Calculate species’ relative covers in each plot</h2>
+<p>Transform abundances to relative abundance. For consistency with the previous version of sPlot, this field is called <code>Relative_cover</code>.<br />
+<em>Watch out</em> - Even plots with p\a information are transformed to relative cover.</p>
+<pre class="r"><code>DT1 &lt;- DT1 %&gt;% 
+  left_join(x=., 
+            y={.} %&gt;%
+              group_by(PlotObservationID) %&gt;% 
+              summarize(tot.abundance=sum(Abundance)), 
+            by=c(&quot;PlotObservationID&quot;)) %&gt;% 
+  mutate(Relative.cover=Abundance/tot.abundance)</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
+<pre class="r"><code># check: there should be no plot where the sum of all relative covers !=0
+DT1 %&gt;% 
+  group_by(PlotObservationID) %&gt;% 
+  summarize(tot.cover=sum(Relative.cover), 
+            num.layers=sum(unique(Layer))) %&gt;% 
+  filter(tot.cover != num.layers) %&gt;% 
+  nrow()</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
+<pre><code>## [1] 1958809</code></pre>
+</div>
+<div id="clean-dt-and-export" class="section level2">
+<h2>Clean DT and export</h2>
+<pre class="r"><code>DT2 &lt;- DT1 %&gt;% 
+  dplyr::select(PlotObservationID, Name_short, `Turboveg2 concept`, Rank_correct, `Taxon group`, Layer:x_, Ab_scale, Abundance, Relative.cover ) %&gt;% 
+  rename(Species_original=`Turboveg2 concept`, 
+         Species=Name_short,
+         Taxon_group=`Taxon group`, 
+         Cover_perc=`Cover %`, 
+         Cover_code=`Cover code`, 
+         Relative_cover=Relative.cover) %&gt;% 
+  ## change in Version 1.1.
+  dplyr::select(-x_, -Cover_perc)</code></pre>
+<p>The output of the DT table contains 43102856 records, over 1978582 plots. The total number of taxa is 116256 and 0, before and after standardization, respectively. Information on the <code>Taxon group</code> is available for 76548 standardized species.</p>
+<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
+<caption>
+Example of initial DT table (same 3 randomly selected plots shown above)
+</caption>
+<thead>
 <tr>
-<td style="text-align:right;">
-354857
-</td>
-<td style="text-align:left;">
-Linaria vulgaris
-</td>
-<td style="text-align:left;">
-Linaria vulgaris
-</td>
-<td style="text-align:left;">
-species
-</td>
-<td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-NA
-</td>
-<td style="text-align:left;">
-x
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:left;">
-pa
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0.1111111
-</td>
+<th style="text-align:right;">
+PlotObservationID
+</th>
+<th style="text-align:left;">
+Species
+</th>
+<th style="text-align:left;">
+Species_original
+</th>
+<th style="text-align:left;">
+Rank_correct
+</th>
+<th style="text-align:left;">
+Taxon_group
+</th>
+<th style="text-align:right;">
+Layer
+</th>
+<th style="text-align:left;">
+Cover_code
+</th>
+<th style="text-align:left;">
+Ab_scale
+</th>
+<th style="text-align:right;">
+Abundance
+</th>
+<th style="text-align:right;">
+Relative_cover
+</th>
 </tr>
+</thead>
+<tbody>
 <tr>
 <td style="text-align:right;">
-354857
+447771
 </td>
 <td style="text-align:left;">
-Poa pratensis
+Achillea millefolium
 </td>
 <td style="text-align:left;">
-Poa pratensis subsp. pratensis
+Achillea millefolium subsp. millefolium
 </td>
 <td style="text-align:left;">
 lower
@@ -3837,148 +3501,28 @@ Vascular plant
 <td style="text-align:right;">
 0
 </td>
-<td style="text-align:right;">
-NA
-</td>
-<td style="text-align:left;">
-x
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:left;">
-pa
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0.1111111
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-354857
-</td>
-<td style="text-align:left;">
-Salix
-</td>
-<td style="text-align:left;">
-Salix repens subsp. repens var. argentea
-</td>
-<td style="text-align:left;">
-genus
-</td>
-<td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-0
-</td>
-<td style="text-align:right;">
-NA
-</td>
-<td style="text-align:left;">
-x
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:left;">
-pa
-</td>
-<td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-0.1111111
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-1462431
-</td>
-<td style="text-align:left;">
-Agrostis rupestris
-</td>
-<td style="text-align:left;">
-Agrostis rupestris
-</td>
-<td style="text-align:left;">
-species
-</td>
-<td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
-</td>
-<td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
-</td>
-<td style="text-align:left;">
-CoverPerc
-</td>
-<td style="text-align:right;">
-3
-</td>
-<td style="text-align:right;">
-0.0303030
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-1462431
-</td>
-<td style="text-align:left;">
-Deschampsia flexuosa
-</td>
-<td style="text-align:left;">
-Avenella flexuosa
-</td>
-<td style="text-align:left;">
-species
-</td>
-<td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
-</td>
-<td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
+<td style="text-align:left;">
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
-0.0303030
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Helictochloa versicolor
+Achillea ptarmica
 </td>
 <td style="text-align:left;">
-Avenula versicolor
+Achillea ptarmica
 </td>
 <td style="text-align:left;">
 species
@@ -3987,36 +3531,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-38
+0
 </td>
 <td style="text-align:left;">
-3
-</td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-38
+1
 </td>
 <td style="text-align:right;">
-0.3838384
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Calamagrostis villosa
+Agrostis capillaris
 </td>
 <td style="text-align:left;">
-Calamagrostis villosa
+Agrostis capillaris
 </td>
 <td style="text-align:left;">
 species
@@ -4025,36 +3563,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-2
+0
 </td>
 <td style="text-align:left;">
-<ul>
-<li></td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-2
+1
 </td>
 <td style="text-align:right;">
-0.0202020
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Campanula alpina
+Carex leporina
 </td>
 <td style="text-align:left;">
-Campanula alpina
+Carex ovalis
 </td>
 <td style="text-align:left;">
 species
@@ -4063,112 +3595,94 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
-0.0303030
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Carex sempervirens
+Cerastium fontanum
 </td>
 <td style="text-align:left;">
-Carex sempervirens
+Cerastium fontanum subsp. vulgare var. vulgare
 </td>
 <td style="text-align:left;">
-species
+lower
 </td>
 <td style="text-align:left;">
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
-0.0303030
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Cetraria islandica
+Chenopodium album
 </td>
 <td style="text-align:left;">
-Cetraria islandica
+Chenopodium album subsp. album
 </td>
 <td style="text-align:left;">
-species
+higher
 </td>
 <td style="text-align:left;">
-Lichen
-</td>
-<td style="text-align:right;">
-9
+Vascular plant
 </td>
 <td style="text-align:right;">
-13
+0
 </td>
 <td style="text-align:left;">
-2
-</td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-13
+1
 </td>
 <td style="text-align:right;">
-0.1313131
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Empetrum nigrum
+Deschampsia cespitosa
 </td>
 <td style="text-align:left;">
-Empetrum nigrum
+Deschampsia cespitosa
 </td>
 <td style="text-align:left;">
 species
@@ -4177,36 +3691,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-2
+0
 </td>
 <td style="text-align:left;">
-<ul>
-<li></td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-2
+1
 </td>
 <td style="text-align:right;">
-0.0202020
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Geum montanum
+Galeopsis tetrahit
 </td>
 <td style="text-align:left;">
-Geum montanum
+Galeopsis tetrahit
 </td>
 <td style="text-align:left;">
 species
@@ -4215,36 +3723,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-2
+0
 </td>
 <td style="text-align:left;">
-<ul>
-<li></td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-2
+1
 </td>
 <td style="text-align:right;">
-0.0202020
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Hieracium alpinum
+Holcus lanatus
 </td>
 <td style="text-align:left;">
-Hieracium alpinum
+Holcus lanatus
 </td>
 <td style="text-align:left;">
 species
@@ -4253,36 +3755,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-2
+0
 </td>
 <td style="text-align:left;">
-<ul>
-<li></td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-2
+1
 </td>
 <td style="text-align:right;">
-0.0202020
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Homogyne alpina
+Lolium perenne
 </td>
 <td style="text-align:left;">
-Homogyne alpina
+Lolium perenne
 </td>
 <td style="text-align:left;">
 species
@@ -4291,74 +3787,62 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
-0.0303030
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Hypochaeris uniflora
+Poa pratensis
 </td>
 <td style="text-align:left;">
-Hypochaeris uniflora
+Poa pratensis subsp. pratensis
 </td>
 <td style="text-align:left;">
-species
+lower
 </td>
 <td style="text-align:left;">
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-13
+0
 </td>
 <td style="text-align:left;">
-2
-</td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-13
+1
 </td>
 <td style="text-align:right;">
-0.1313131
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Persicaria vivipara
+Poa trivialis
 </td>
 <td style="text-align:left;">
-Persicaria vivipara
+Poa trivialis
 </td>
 <td style="text-align:left;">
 species
@@ -4367,36 +3851,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-1
+0
 </td>
 <td style="text-align:left;">
-r
-</td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:right;">
-0.0101010
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Potentilla aurea
+Ranunculus acris
 </td>
 <td style="text-align:left;">
-Potentilla aurea
+Ranunculus acris
 </td>
 <td style="text-align:left;">
 species
@@ -4405,112 +3883,94 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-2
+0
 </td>
 <td style="text-align:left;">
-<ul>
-<li></td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-2
+1
 </td>
 <td style="text-align:right;">
-0.0202020
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Anemone scherfelii
+Ranunculus repens
 </td>
 <td style="text-align:left;">
-Pulsatilla alpina subsp. alba auct. sudet. &amp; carpat.
+Ranunculus repens
 </td>
 <td style="text-align:left;">
-lower
+species
 </td>
 <td style="text-align:left;">
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-1
+0
 </td>
 <td style="text-align:left;">
-r
-</td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:right;">
-0.0101010
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Vaccinium uliginosum
+Taraxacum
 </td>
 <td style="text-align:left;">
-Vaccinium gaultherioides
+Taraxacum sect. Ruderalia
 </td>
 <td style="text-align:left;">
-species
+genus
 </td>
 <td style="text-align:left;">
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
-0.0303030
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+447771
 </td>
 <td style="text-align:left;">
-Vaccinium myrtillus
+Trifolium repens
 </td>
 <td style="text-align:left;">
-Vaccinium myrtillus
+Trifolium repens
 </td>
 <td style="text-align:left;">
 species
@@ -4519,36 +3979,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
+x
 </td>
 <td style="text-align:left;">
-CoverPerc
+pa
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
-0.0303030
+0.0625000
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1462431
+608448
 </td>
 <td style="text-align:left;">
-Vaccinium vitis-idaea
+Arrhenatherum elatius
 </td>
 <td style="text-align:left;">
-Vaccinium vitis-idaea
+Arrhenatherum elatius
 </td>
 <td style="text-align:left;">
 species
@@ -4557,17 +4011,11 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-2
+0
 </td>
 <td style="text-align:left;">
 <ul>
 <li></td>
-<td style="text-align:right;">
-NA
-</td>
 <td style="text-align:left;">
 CoverPerc
 </td>
@@ -4575,18 +4023,18 @@ CoverPerc
 2
 </td>
 <td style="text-align:right;">
-0.0202020
+0.0312500
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-Betula pubescens
+Asplenium adiantum-nigrum
 </td>
 <td style="text-align:left;">
-Betula pubescens
+Asplenium adiantum-nigrum subsp. onopteris
 </td>
 <td style="text-align:left;">
 species
@@ -4595,74 +4043,62 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-38
+0
 </td>
 <td style="text-align:left;">
-3
-</td>
-<td style="text-align:right;">
-NA
-</td>
+<ul>
+<li></td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-38
+2
 </td>
 <td style="text-align:right;">
-0.1397059
+0.0312500
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
-</td>
-<td style="text-align:left;">
-Betula pubescens
+608448
 </td>
 <td style="text-align:left;">
-Betula pubescens
+Chenopodium bonus-henricus
 </td>
 <td style="text-align:left;">
-species
+Chenopodium bonus-henricus
 </td>
 <td style="text-align:left;">
-Vascular plant
-</td>
-<td style="text-align:right;">
-2
-</td>
-<td style="text-align:right;">
-38
+species
 </td>
 <td style="text-align:left;">
-3
+Vascular plant
 </td>
 <td style="text-align:right;">
-NA
+0
 </td>
 <td style="text-align:left;">
+<ul>
+<li></td>
+<td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-38
+2
 </td>
 <td style="text-align:right;">
-0.1397059
+0.0312500
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-Calamagrostis arundinacea
+Cynosurus echinatus
 </td>
 <td style="text-align:left;">
-Calamagrostis arundinacea
+Cynosurus echinatus
 </td>
 <td style="text-align:left;">
 species
@@ -4671,74 +4107,62 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
-</td>
+<ul>
+<li></td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0312500
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-Carex rhizina
+Digitalis purpurea
 </td>
 <td style="text-align:left;">
-Carex rhizina
+Digitalis purpurea
 </td>
 <td style="text-align:left;">
-lower
+species
 </td>
 <td style="text-align:left;">
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
-</td>
+<ul>
+<li></td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0312500
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-Chelidonium majus
+Epilobium montanum
 </td>
 <td style="text-align:left;">
-Chelidonium majus
+Epilobium montanum
 </td>
 <td style="text-align:left;">
 species
@@ -4747,36 +4171,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
-</td>
+<ul>
+<li></td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0312500
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-Convallaria majalis
+Fagus sylvatica
 </td>
 <td style="text-align:left;">
-Convallaria majalis
+Fagus sylvatica
 </td>
 <td style="text-align:left;">
 species
@@ -4785,36 +4203,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
-</td>
-<td style="text-align:left;">
 1
 </td>
-<td style="text-align:right;">
-NA
+<td style="text-align:left;">
+3
 </td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+38
 </td>
 <td style="text-align:right;">
-0.0110294
+0.5937500
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-Dryopteris carthusiana
+Galium rotundifolium
 </td>
 <td style="text-align:left;">
-Dryopteris carthusiana
+Galium rotundifolium
 </td>
 <td style="text-align:left;">
 species
@@ -4823,17 +4235,11 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
 1
 </td>
-<td style="text-align:right;">
-NA
-</td>
 <td style="text-align:left;">
 CoverPerc
 </td>
@@ -4841,18 +4247,18 @@ CoverPerc
 3
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0468750
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-Galium mollugo
+Geranium robertianum
 </td>
 <td style="text-align:left;">
-Galium mollugo
+Geranium robertianum
 </td>
 <td style="text-align:left;">
 species
@@ -4861,36 +4267,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
-</td>
+<ul>
+<li></td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0312500
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-Hypericum perforatum
+Hypochaeris taraxacoides
 </td>
 <td style="text-align:left;">
-Hypericum perforatum
+Hypochaeris taraxacoides
 </td>
 <td style="text-align:left;">
 species
@@ -4899,36 +4299,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
-</td>
+<ul>
+<li></td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0312500
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-Melampyrum pratense
+Lactuca muralis
 </td>
 <td style="text-align:left;">
-Melampyrum pratense
+Mycelis muralis
 </td>
 <td style="text-align:left;">
 species
@@ -4937,36 +4331,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
-</td>
+<ul>
+<li></td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0312500
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-Moehringia trinervia
+Poa nemoralis
 </td>
 <td style="text-align:left;">
-Moehringia trinervia
+Poa nemoralis
 </td>
 <td style="text-align:left;">
 species
@@ -4975,36 +4363,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
-</td>
+<ul>
+<li></td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0312500
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+608448
 </td>
 <td style="text-align:left;">
-Oxalis acetosella
+Stellaria media
 </td>
 <td style="text-align:left;">
-Oxalis acetosella
+Stellaria media
 </td>
 <td style="text-align:left;">
 species
@@ -5013,17 +4395,11 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-6
-</td>
-<td style="text-align:right;">
-3
+0
 </td>
 <td style="text-align:left;">
 1
 </td>
-<td style="text-align:right;">
-NA
-</td>
 <td style="text-align:left;">
 CoverPerc
 </td>
@@ -5031,18 +4407,18 @@ CoverPerc
 3
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0468750
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-Picea obovata
+Agrostis stolonifera
 </td>
 <td style="text-align:left;">
-Picea obovata
+Agrostis stolonifera
 </td>
 <td style="text-align:left;">
 species
@@ -5051,36 +4427,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-68
+6
 </td>
 <td style="text-align:left;">
-4
-</td>
-<td style="text-align:right;">
-NA
+8
 </td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-68
+8
 </td>
 <td style="text-align:right;">
-0.2500000
+0.0769231
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-Picea obovata
+Alopecurus geniculatus
 </td>
 <td style="text-align:left;">
-Picea obovata
+Alopecurus geniculatus
 </td>
 <td style="text-align:left;">
 species
@@ -5089,36 +4459,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-2
-</td>
-<td style="text-align:right;">
-68
+6
 </td>
 <td style="text-align:left;">
-4
-</td>
-<td style="text-align:right;">
-NA
+6
 </td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-68
+6
 </td>
 <td style="text-align:right;">
-0.2500000
+0.0576923
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-Pinus sylvestris
+Alopecurus pratensis
 </td>
 <td style="text-align:left;">
-Pinus sylvestris
+Alopecurus pratensis
 </td>
 <td style="text-align:left;">
 species
@@ -5127,36 +4491,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-1
-</td>
-<td style="text-align:right;">
-3
+6
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
+10
 </td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+10
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0961538
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-Pinus sylvestris
+Anthoxanthum odoratum
 </td>
 <td style="text-align:left;">
-Pinus sylvestris
+Anthoxanthum odoratum
 </td>
 <td style="text-align:left;">
 species
@@ -5167,34 +4525,28 @@ Vascular plant
 <td style="text-align:right;">
 6
 </td>
-<td style="text-align:right;">
-3
-</td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
+10
 </td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+10
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0961538
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-Rubus idaeus
+Cardamine pratensis
 </td>
 <td style="text-align:left;">
-Rubus idaeus
+Cardamine pratensis
 </td>
 <td style="text-align:left;">
 species
@@ -5205,34 +4557,28 @@ Vascular plant
 <td style="text-align:right;">
 6
 </td>
-<td style="text-align:right;">
-3
-</td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
+2
 </td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0192308
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-Rumex acetosella
+Cerastium fontanum
 </td>
 <td style="text-align:left;">
-Rumex acetosella
+Cerastium fontanum
 </td>
 <td style="text-align:left;">
 species
@@ -5243,34 +4589,28 @@ Vascular plant
 <td style="text-align:right;">
 6
 </td>
-<td style="text-align:right;">
-3
-</td>
 <td style="text-align:left;">
 1
 </td>
-<td style="text-align:right;">
-NA
-</td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0096154
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-Sambucus racemosa
+Glyceria fluitans
 </td>
 <td style="text-align:left;">
-Sambucus racemosa
+Glyceria fluitans
 </td>
 <td style="text-align:left;">
 species
@@ -5279,36 +4619,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-4
-</td>
-<td style="text-align:right;">
-3
+6
 </td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
+15
 </td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+15
 </td>
 <td style="text-align:right;">
-0.0110294
+0.1442308
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-Solidago virgaurea
+Poa trivialis
 </td>
 <td style="text-align:left;">
-Solidago virgaurea
+Poa trivialis
 </td>
 <td style="text-align:left;">
 species
@@ -5319,34 +4653,28 @@ Vascular plant
 <td style="text-align:right;">
 6
 </td>
-<td style="text-align:right;">
-3
-</td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
+45
 </td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+45
 </td>
 <td style="text-align:right;">
-0.0110294
+0.4326923
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-Sorbus aucuparia
+Persicaria amphibia
 </td>
 <td style="text-align:left;">
-Sorbus aucuparia
+Polygonum amphibium
 </td>
 <td style="text-align:left;">
 species
@@ -5355,36 +4683,30 @@ species
 Vascular plant
 </td>
 <td style="text-align:right;">
-4
-</td>
-<td style="text-align:right;">
-3
+6
 </td>
 <td style="text-align:left;">
 1
 </td>
-<td style="text-align:right;">
-NA
-</td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0096154
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-Stellaria media
+Ranunculus acris
 </td>
 <td style="text-align:left;">
-Stellaria media
+Ranunculus acris
 </td>
 <td style="text-align:left;">
 species
@@ -5395,34 +4717,28 @@ Vascular plant
 <td style="text-align:right;">
 6
 </td>
-<td style="text-align:right;">
-3
-</td>
 <td style="text-align:left;">
 1
 </td>
-<td style="text-align:right;">
-NA
-</td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0096154
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-Vaccinium myrtillus
+Ranunculus repens
 </td>
 <td style="text-align:left;">
-Vaccinium myrtillus
+Ranunculus repens
 </td>
 <td style="text-align:left;">
 species
@@ -5433,34 +4749,28 @@ Vascular plant
 <td style="text-align:right;">
 6
 </td>
-<td style="text-align:right;">
-3
-</td>
 <td style="text-align:left;">
-1
-</td>
-<td style="text-align:right;">
-NA
+4
 </td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+4
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0384615
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1585163
+1607503
 </td>
 <td style="text-align:left;">
-Veronica officinalis
+Rumex acetosa
 </td>
 <td style="text-align:left;">
-Veronica officinalis
+Rumex acetosa
 </td>
 <td style="text-align:left;">
 species
@@ -5471,32 +4781,50 @@ Vascular plant
 <td style="text-align:right;">
 6
 </td>
-<td style="text-align:right;">
-3
-</td>
 <td style="text-align:left;">
 1
 </td>
-<td style="text-align:right;">
-NA
-</td>
 <td style="text-align:left;">
 CoverPerc
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
-0.0110294
+0.0096154
 </td>
 </tr>
 </tbody>
-</table></li>
+</table>
+<h2 id="field-list">Field List</h2></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
 </ul></li>
 </ul></li>
 </ul></li>
 </ul></li>
 </ul></li>
+<li><code>PlotObservationID</code> - Plot ID, as in <code>header</code>.<br />
+</li>
+<li><code>Species</code> - Resolved species name, based on taxonomic backbone<br />
+</li>
+<li><code>Species_original</code> - Original species name, as provided by data contributor.<br />
+</li>
+<li><code>Rank_correct</code> - Taxonomic rank at which <code>Species_original</code> was matched.<br />
+</li>
+<li><code>Taxon_group</code> - Possible entries are: <em>Alga_Stonewort</em>, <em>Lichen</em>, <em>Moss</em>, <em>Vascular plant</em>, <em>Unknown</em>.<br />
+</li>
+<li><code>Layer</code> - Vegetation layer, as specified in Turboveg: <em>0</em>: No layer specified, <em>1</em>: Upper tree layer, <em>2</em>: Middle tree layer, <em>3</em>: Lower tree layer, <em>4</em>: Upper shrub layer, <em>5</em>: Lower shrub layer, <em>6</em>: Herb layer, <em>7</em>: Juvenile, <em>8</em>: Seedling, <em>9</em>: Moss layer.<br />
+</li>
+<li><code>Cover_code</code> - Cover\abundance value in original data, before transformation to percentage cover.<br />
+</li>
+<li><code>Ab_scale</code> - Abundance scale in original data. Possible values are: <em>CoverPerc</em>: Cover Percentage, <em>pa</em>: Presence absence, <em>x_BA</em>: Basal Area, <em>x_IC</em>: Individual count, <em>x_SC</em>: Stem count, <em>x_IV</em>: Relative Importance, <em>x_RF</em>: Relative Frequency.<br />
+</li>
+<li><code>Abundance</code> - Abundance value, in original value, or as transformed from original <code>Cover code</code> to quantitative values.<br />
+</li>
+<li><code>Relative_cover</code> - Abundance of each species after being normalized to 1 in each plot.</li>
 </ul>
 <pre class="r"><code>save(DT2, file = &quot;../_output/DT_sPlot3.0.RData&quot;)</code></pre>
 </div>
@@ -5504,7 +4832,7 @@ CoverPerc
 <h2>SessionInfo</h2>
 <pre><code>## R version 3.6.3 (2020-02-29)
 ## Platform: x86_64-pc-linux-gnu (64-bit)
-## Running under: Ubuntu 16.04.6 LTS
+## Running under: Ubuntu 16.04.7 LTS
 ## 
 ## Matrix products: default
 ## BLAS:   /usr/lib/openblas-base/libblas.so.3
@@ -5522,25 +4850,25 @@ CoverPerc
 ## [1] stats     graphics  grDevices utils     datasets  methods   base     
 ## 
 ## other attached packages:
-##  [1] kableExtra_1.1.0 knitr_1.28       xlsx_0.6.3       forcats_0.5.0   
-##  [5] stringr_1.4.0    dplyr_0.8.5      purrr_0.3.3      readr_1.3.1     
-##  [9] tidyr_1.0.2      tibble_2.1.3     ggplot2_3.3.0    tidyverse_1.3.0 
+##  [1] kableExtra_1.3.1 knitr_1.30       xlsx_0.6.5       forcats_0.5.0   
+##  [5] stringr_1.4.0    dplyr_1.0.2      purrr_0.3.4      readr_1.4.0     
+##  [9] tidyr_1.1.2      tibble_3.0.1     ggplot2_3.3.0    tidyverse_1.3.0 
 ## 
 ## loaded via a namespace (and not attached):
-##  [1] tidyselect_1.0.0  xfun_0.12         rJava_0.9-11      haven_2.2.0      
-##  [5] lattice_0.20-40   colorspace_1.4-1  vctrs_0.2.3       generics_0.0.2   
-##  [9] viridisLite_0.3.0 htmltools_0.4.0   yaml_2.2.1        utf8_1.1.4       
-## [13] rlang_0.4.4       pillar_1.4.2      glue_1.3.1        withr_2.1.2      
-## [17] DBI_1.1.0         dbplyr_1.4.2      modelr_0.1.6      readxl_1.3.1     
-## [21] lifecycle_0.2.0   munsell_0.5.0     gtable_0.3.0      cellranger_1.1.0 
-## [25] rvest_0.3.5       evaluate_0.14     xlsxjars_0.6.1    fansi_0.4.1      
-## [29] highr_0.8         broom_0.5.5       Rcpp_1.0.3        scales_1.1.0     
-## [33] backports_1.1.5   webshot_0.5.2     jsonlite_1.6.1    fs_1.3.2         
-## [37] hms_0.5.3         digest_0.6.23     stringi_1.4.6     grid_3.6.3       
-## [41] cli_2.0.2         tools_3.6.3       magrittr_1.5      crayon_1.3.4     
-## [45] pkgconfig_2.0.3   ellipsis_0.3.0    xml2_1.2.2        reprex_0.3.0     
-## [49] lubridate_1.7.4   assertthat_0.2.1  rmarkdown_2.1     httr_1.4.1       
-## [53] rstudioapi_0.11   R6_2.4.1          nlme_3.1-145      compiler_3.6.3</code></pre>
+##  [1] tidyselect_1.1.0  xfun_0.19         rJava_0.9-13      haven_2.3.1      
+##  [5] colorspace_2.0-0  vctrs_0.3.5       generics_0.1.0    viridisLite_0.3.0
+##  [9] htmltools_0.5.0   yaml_2.2.1        utf8_1.1.4        rlang_0.4.9      
+## [13] pillar_1.4.3      glue_1.4.2        withr_2.3.0       DBI_1.1.0        
+## [17] dbplyr_2.0.0      modelr_0.1.6      readxl_1.3.1      lifecycle_0.2.0  
+## [21] munsell_0.5.0     gtable_0.3.0      cellranger_1.1.0  rvest_0.3.6      
+## [25] evaluate_0.14     fansi_0.4.1       xlsxjars_0.6.1    highr_0.8        
+## [29] broom_0.7.0       Rcpp_1.0.5        scales_1.1.1      backports_1.2.0  
+## [33] webshot_0.5.2     jsonlite_1.7.1    fs_1.5.0          hms_0.5.3        
+## [37] digest_0.6.25     stringi_1.5.3     grid_3.6.3        cli_2.2.0        
+## [41] tools_3.6.3       magrittr_2.0.1    crayon_1.3.4      pkgconfig_2.0.3  
+## [45] ellipsis_0.3.1    xml2_1.3.2        reprex_0.3.0      lubridate_1.7.9.2
+## [49] assertthat_0.2.1  rmarkdown_2.5     httr_1.4.2        rstudioapi_0.13  
+## [53] R6_2.5.0          compiler_3.6.3</code></pre>
 </div>
 
 
@@ -5552,7 +4880,7 @@ CoverPerc
 
 // add bootstrap table styles to pandoc tables
 function bootstrapStylePandocTables() {
-  $('tr.header').parent('thead').parent('table').addClass('table table-condensed');
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
 }
 $(document).ready(function () {
   bootstrapStylePandocTables();
diff --git a/public/07_buildCWMs.html b/public/07_buildCWMs.html
index 7c0a50462be0601155acd231a192218434edb8e5..7dda436ccea4a92671a5b4e87be41b1364358926 100644
--- a/public/07_buildCWMs.html
+++ b/public/07_buildCWMs.html
@@ -208,6 +208,45 @@ color: #d14;
 }
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+            ? x.id : '');
+  };
+
+  // Add anchors
+  h.forEach(function(x) {
+    const id = x.id || section_id(x.parentElement);
+    if (id === '') {
+      return null;
+    }
+    let anchor = document.createElement('a');
+    anchor.href = '#' + id;
+    anchor.classList = ['anchor-section'];
+    x.classList.add('hasAnchor');
+    x.appendChild(anchor);
+  });
+});
+</script>
 <script>$(document).ready(function(){
     if (typeof $('[data-toggle="tooltip"]').tooltip === 'function') {
         $('[data-toggle="tooltip"]').tooltip();
@@ -217,6 +256,230 @@ color: #d14;
     }
 });
 </script>
+<style type="text/css">
+.lightable-minimal {
+border-collapse: separate;
+border-spacing: 16px 1px;
+width: 100%;
+margin-bottom: 10px;
+}
+.lightable-minimal td {
+margin-left: 5px;
+margin-right: 5px;
+}
+.lightable-minimal th {
+margin-left: 5px;
+margin-right: 5px;
+}
+.lightable-minimal thead tr:last-child th {
+border-bottom: 2px solid #00000050;
+empty-cells: hide;
+}
+.lightable-minimal tbody tr:first-child td {
+padding-top: 0.5em;
+}
+.lightable-minimal.lightable-hover tbody tr:hover {
+background-color: #f5f5f5;
+}
+.lightable-minimal.lightable-striped tbody tr:nth-child(even) {
+background-color: #f5f5f5;
+}
+.lightable-classic {
+border-top: 0.16em solid #111111;
+border-bottom: 0.16em solid #111111;
+width: 100%;
+margin-bottom: 10px;
+margin: 10px 5px;
+}
+.lightable-classic tfoot tr td {
+border: 0;
+}
+.lightable-classic tfoot tr:first-child td {
+border-top: 0.14em solid #111111;
+}
+.lightable-classic caption {
+color: #222222;
+}
+.lightable-classic td {
+padding-left: 5px;
+padding-right: 5px;
+color: #222222;
+}
+.lightable-classic th {
+padding-left: 5px;
+padding-right: 5px;
+font-weight: normal;
+color: #222222;
+}
+.lightable-classic thead tr:last-child th {
+border-bottom: 0.10em solid #111111;
+}
+.lightable-classic.lightable-hover tbody tr:hover {
+background-color: #F9EEC1;
+}
+.lightable-classic.lightable-striped tbody tr:nth-child(even) {
+background-color: #f5f5f5;
+}
+.lightable-classic-2 {
+border-top: 3px double #111111;
+border-bottom: 3px double #111111;
+width: 100%;
+margin-bottom: 10px;
+}
+.lightable-classic-2 tfoot tr td {
+border: 0;
+}
+.lightable-classic-2 tfoot tr:first-child td {
+border-top: 3px double #111111;
+}
+.lightable-classic-2 caption {
+color: #222222;
+}
+.lightable-classic-2 td {
+padding-left: 5px;
+padding-right: 5px;
+color: #222222;
+}
+.lightable-classic-2 th {
+padding-left: 5px;
+padding-right: 5px;
+font-weight: normal;
+color: #222222;
+}
+.lightable-classic-2 tbody tr:last-child td {
+border-bottom: 3px double #111111;
+}
+.lightable-classic-2 thead tr:last-child th {
+border-bottom: 1px solid #111111;
+}
+.lightable-classic-2.lightable-hover tbody tr:hover {
+background-color: #F9EEC1;
+}
+.lightable-classic-2.lightable-striped tbody tr:nth-child(even) {
+background-color: #f5f5f5;
+}
+.lightable-material {
+min-width: 100%;
+white-space: nowrap;
+table-layout: fixed;
+font-family: Roboto, sans-serif;
+border: 1px solid #EEE;
+border-collapse: collapse;
+margin-bottom: 10px;
+}
+.lightable-material tfoot tr td {
+border: 0;
+}
+.lightable-material tfoot tr:first-child td {
+border-top: 1px solid #EEE;
+}
+.lightable-material th {
+height: 56px;
+padding-left: 16px;
+padding-right: 16px;
+}
+.lightable-material td {
+height: 52px;
+padding-left: 16px;
+padding-right: 16px;
+border-top: 1px solid #eeeeee;
+}
+.lightable-material.lightable-hover tbody tr:hover {
+background-color: #f5f5f5;
+}
+.lightable-material.lightable-striped tbody tr:nth-child(even) {
+background-color: #f5f5f5;
+}
+.lightable-material.lightable-striped tbody td {
+border: 0;
+}
+.lightable-material.lightable-striped thead tr:last-child th {
+border-bottom: 1px solid #ddd;
+}
+.lightable-material-dark {
+min-width: 100%;
+white-space: nowrap;
+table-layout: fixed;
+font-family: Roboto, sans-serif;
+border: 1px solid #FFFFFF12;
+border-collapse: collapse;
+margin-bottom: 10px;
+background-color: #363640;
+}
+.lightable-material-dark tfoot tr td {
+border: 0;
+}
+.lightable-material-dark tfoot tr:first-child td {
+border-top: 1px solid #FFFFFF12;
+}
+.lightable-material-dark th {
+height: 56px;
+padding-left: 16px;
+padding-right: 16px;
+color: #FFFFFF60;
+}
+.lightable-material-dark td {
+height: 52px;
+padding-left: 16px;
+padding-right: 16px;
+color: #FFFFFF;
+border-top: 1px solid #FFFFFF12;
+}
+.lightable-material-dark.lightable-hover tbody tr:hover {
+background-color: #FFFFFF12;
+}
+.lightable-material-dark.lightable-striped tbody tr:nth-child(even) {
+background-color: #FFFFFF12;
+}
+.lightable-material-dark.lightable-striped tbody td {
+border: 0;
+}
+.lightable-material-dark.lightable-striped thead tr:last-child th {
+border-bottom: 1px solid #FFFFFF12;
+}
+.lightable-paper {
+width: 100%;
+margin-bottom: 10px;
+color: #444;
+}
+.lightable-paper tfoot tr td {
+border: 0;
+}
+.lightable-paper tfoot tr:first-child td {
+border-top: 1px solid #00000020;
+}
+.lightable-paper thead tr:last-child th {
+color: #666;
+vertical-align: bottom;
+border-bottom: 1px solid #00000020;
+line-height: 1.15em;
+padding: 10px 5px;
+}
+.lightable-paper td {
+vertical-align: middle;
+border-bottom: 1px solid #00000010;
+line-height: 1.15em;
+padding: 7px 5px;
+}
+.lightable-paper.lightable-hover tbody tr:hover {
+background-color: #F9EEC1;
+}
+.lightable-paper.lightable-striped tbody tr:nth-child(even) {
+background-color: #00000008;
+}
+.lightable-paper.lightable-striped tbody td {
+border: 0;
+}
+</style>
+
+<style type="text/css">
+  code{white-space: pre-wrap;}
+  span.smallcaps{font-variant: small-caps;}
+  span.underline{text-decoration: underline;}
+  div.column{display: inline-block; vertical-align: top; width: 50%;}
+  div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+  ul.task-list{list-style: none;}
+    </style>
 
 <style type="text/css">code{white-space: pre;}</style>
 <style type="text/css">
@@ -381,11 +644,12 @@ summary {
 <center>
 <img src="data:image/png;base64,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" title="sPlot Logo" />
 </center>
-<p><strong>Timestamp:</strong> Fri Mar 13 14:19:26 2020<br />
+<p><strong>Timestamp:</strong> Mon Nov 30 12:32:53 2020<br />
 <strong>Drafted:</strong> Francesco Maria Sabatini<br />
 <strong>Revised:</strong><br />
 <strong>version:</strong> 1.0</p>
 <p>This reports documents 1) the construction of Community Weighted Means (CWMs) and Variance (CWVs); and 2) the classification of plots into forest\non-forest based on species growth forms. It complements species composition data from sPlot 3.0 and gap-filled plant functional traits from TRY 5.0, as received by <a href="jkattge@bgc-jena.mpg.de">Jens Kattge</a> on Jan 21, 2020.</p>
+<p><em>Changes in version 1.1</em> - Standardized Growth form names in sPlot_traits.</p>
 <pre class="r"><code>library(tidyverse)
 library(readr)
 library(data.table)
@@ -396,8 +660,10 @@ library(caret)
 library(viridis)</code></pre>
 <div id="data-import-preparation-and-cleaning" class="section level1">
 <h1>1 Data import, preparation and cleaning</h1>
-<pre class="r"><code>load(&quot;../_output/DT_sPlot3.0.RData&quot;)
-load(&quot;../_output/Backbone3.0.RData&quot;)</code></pre>
+<pre class="r"><code>#load(&quot;/data/sPlot/releases/sPlot3.0/DT_sPlot3.0.RData&quot;)
+#load(&quot;/data/sPlot/releases/sPlot3.0/Backbone3.0.RData&quot;)
+load(&quot;../_output/Backbone3.0.RData&quot;)
+load(&quot;../_output/DT_sPlot3.0.RData&quot;)</code></pre>
 <p>Import TRY data</p>
 <pre class="r"><code># Species, Genus, Family
 try.species &lt;- read_csv(
@@ -426,10 +692,10 @@ try.individuals0 &lt;- read_csv(
 <p>After attaching resolved names, TRY data contains information on 50612 species.<br />
  Check for how many of the species in sPlot, trait information is available in TRY.</p>
 <pre class="r"><code>sPlot.species &lt;- DT2 %&gt;% 
-  distinct(species) 
+  distinct(Species) 
 
 sPlot.in.TRY &lt;- sPlot.species %&gt;% 
-  filter(species %in% (try.species.names %&gt;% 
+  filter(Species %in% (try.species.names %&gt;% 
                                   distinct(Name_short) %&gt;% 
                                   pull(Name_short))) </code></pre>
 <p>Out of the 76912 standardizes species names in sPlot 3.0, 29519 (38.4%) also occur in TRY 5.0. This number does not account for matches at the genus level.</p>
@@ -1116,6 +1382,7 @@ try.individuals &lt;- try.individuals0 %&gt;%
   filter(value&lt;0) %&gt;% 
   group_by(variable) %&gt;% 
   summarize(n=n())</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
 <pre><code>## # A tibble: 5 x 2
 ##   variable                 n
 ##   &lt;chr&gt;                &lt;int&gt;
@@ -1157,16 +1424,16 @@ try.individuals &lt;- try.individuals %&gt;%
 <pre class="r"><code>## Calculate species level trait means and sd. 
 try.species.means &lt;- try.individuals %&gt;% 
   group_by(Name_short) %&gt;% 
-  #Add a field to indicate the number of observation per taxon
+  #Add a field to indicate the number of observations per taxon
   left_join(x={.} %&gt;% 
               summarize(n=n()), 
             y={.} %&gt;% 
               summarize_at(.vars=vars(StemDens:LeafWaterCont ),
                            .funs=list(mean=~mean(.), sd=~sd(.))),
             by=&quot;Name_short&quot;) %&gt;% 
-  dplyr::select(Name_short, n, everything())
-
-## Calculate genus level trait means and sd.
+  dplyr::select(Name_short, n, everything())</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
+<pre class="r"><code>## Calculate genus level trait means and sd.
 try.genus.means &lt;- try.individuals %&gt;% 
   mutate(Genus=word(Name_short, 1)) %&gt;% 
   group_by(Genus) %&gt;% 
@@ -1177,6 +1444,7 @@ try.genus.means &lt;- try.individuals %&gt;%
                            .funs=list(mean=~mean(.), sd=~sd(.))),
             by=&quot;Genus&quot;) %&gt;% 
   dplyr::select(Genus, n, everything())</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
 <p>The average number of observations per species and genus is 12.1 and 81.5, respectively. As many as 17443 species have only one observation (1250 at the genus level).</p>
 <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
 <caption>
@@ -1393,1963 +1661,1963 @@ LeafWaterCont_sd
 <tbody>
 <tr>
 <td style="text-align:left;">
-Centaurium beyrichii
+Erythronium helenae
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
-0.567
+0.317
 </td>
 <td style="text-align:right;">
-0.095
+0.257
 </td>
 <td style="text-align:right;">
-30.607
+19.784
 </td>
 <td style="text-align:right;">
-454.321
+477.909
 </td>
 <td style="text-align:right;">
-17.857
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 </td>
 <td style="text-align:right;">
-0.943
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 </td>
 <td style="text-align:right;">
-0.178
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 <td style="text-align:right;">
-0.011
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 <td style="text-align:right;">
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-0.617
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 <td style="text-align:right;">
-9.812
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--0.503
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 </td>
 <td style="text-align:right;">
-96.860
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-0.472
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-43.813
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 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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-122.488
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-0.209
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-0.020
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-1.845
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-0.046
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-0.007
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-0.043
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-0.726
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-5.599
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-16.255
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-0.965
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-7.487
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-0.082
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 </tr>
 <tr>
 <td style="text-align:left;">
-Erythroxylum confusum
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 </td>
 <td style="text-align:right;">
-2
+1
 </td>
 <td style="text-align:right;">
-0.716
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 </td>
 <td style="text-align:right;">
-0.423
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 </td>
 <td style="text-align:right;">
-13.123
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 </td>
 <td style="text-align:right;">
-476.841
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 </td>
 <td style="text-align:right;">
-20.696
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 </td>
 <td style="text-align:right;">
-1.159
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 </td>
 <td style="text-align:right;">
-3.126
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 </td>
 <td style="text-align:right;">
-0.073
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 </td>
 <td style="text-align:right;">
-21.184
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 </td>
 <td style="text-align:right;">
-3.054
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 </td>
 <td style="text-align:right;">
-0.259
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 </td>
 <td style="text-align:right;">
-0.372
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 </td>
 <td style="text-align:right;">
-1.749
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 </td>
 <td style="text-align:right;">
-114.034
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 </td>
 <td style="text-align:right;">
-1.149
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 </td>
 <td style="text-align:right;">
-101.707
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 </td>
 <td style="text-align:right;">
-4564.633
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 </td>
 <td style="text-align:right;">
-28.599
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 </td>
 <td style="text-align:right;">
-1.095
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 </td>
 <td style="text-align:right;">
-24.657
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 </td>
 <td style="text-align:right;">
-0.312
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 </td>
 <td style="text-align:right;">
-86.468
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 </td>
 <td style="text-align:right;">
-26.279
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 </td>
 <td style="text-align:right;">
-5.787
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 </td>
 <td style="text-align:right;">
-3.586
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 </td>
 <td style="text-align:right;">
-34.429
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 </td>
 <td style="text-align:right;">
-628.565
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 </td>
 <td style="text-align:right;">
-1095.258
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 </td>
 <td style="text-align:right;">
-3670.488
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 </td>
 <td style="text-align:right;">
-760.530
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 </td>
 <td style="text-align:right;">
-896.085
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 </td>
 <td style="text-align:right;">
-2253.745
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 </td>
 <td style="text-align:right;">
-2.558
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-0.007
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-0.009
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-0.012
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-1.407
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-0.330
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-0.019
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-0.006
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-0.001
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-0.675
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-0.046
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-0.001
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-0.034
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-13.479
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-0.057
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-0.396
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-731.495
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-0.293
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-0.029
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-0.035
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-0.091
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-0.002
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-0.024
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-0.253
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-9.497
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-13.031
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-209.586
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-90.219
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-74.498
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-119.474
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-0.020
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 </tr>
 <tr>
 <td style="text-align:left;">
-Macledium plantaginifolium
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 </td>
 <td style="text-align:right;">
-6
+1
 </td>
 <td style="text-align:right;">
-0.431
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 </td>
 <td style="text-align:right;">
-0.500
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 </td>
 <td style="text-align:right;">
-17.947
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 </td>
 <td style="text-align:right;">
-430.942
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 </td>
 <td style="text-align:right;">
-22.385
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 </td>
 <td style="text-align:right;">
-1.649
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 </td>
 <td style="text-align:right;">
-0.062
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 </td>
 <td style="text-align:right;">
-0.006
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 </td>
 <td style="text-align:right;">
-0.439
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 </td>
 <td style="text-align:right;">
-1.722
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 </td>
 <td style="text-align:right;">
-0.288
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 </td>
 <td style="text-align:right;">
-0.179
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 </td>
 <td style="text-align:right;">
-1.431
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 </td>
 <td style="text-align:right;">
-63.346
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 </td>
 <td style="text-align:right;">
-0.979
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 </td>
 <td style="text-align:right;">
-95.583
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 </td>
 <td style="text-align:right;">
-353.093
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 </td>
 <td style="text-align:right;">
-89.627
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 </td>
 <td style="text-align:right;">
-4.693
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 </td>
 <td style="text-align:right;">
-29.159
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 </td>
 <td style="text-align:right;">
-0.325
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 </td>
 <td style="text-align:right;">
-150.132
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 </td>
 <td style="text-align:right;">
-27.710
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 </td>
 <td style="text-align:right;">
-4.911
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 </td>
 <td style="text-align:right;">
-2.614
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 </td>
 <td style="text-align:right;">
-29.815
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 </td>
 <td style="text-align:right;">
-503.140
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 </td>
 <td style="text-align:right;">
-771.329
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 </td>
 <td style="text-align:right;">
-7342.450
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 </td>
 <td style="text-align:right;">
-875.005
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 </td>
 <td style="text-align:right;">
-711.051
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 </td>
 <td style="text-align:right;">
-1369.476
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 </td>
 <td style="text-align:right;">
-5.995
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 </td>
 <td style="text-align:right;">
-0.013
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-0.048
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-0.523
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-2.510
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-0.481
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-0.068
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-0.017
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-0.001
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-0.046
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-0.153
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-0.006
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-0.006
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-0.040
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-29.034
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-0.160
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-1.364
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-188.830
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-67.290
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-0.143
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-0.149
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-10.999
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-1.288
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-0.278
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-0.221
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 <td style="text-align:right;">
-1.487
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 <td style="text-align:right;">
-34.732
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 <td style="text-align:right;">
-49.044
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 <td style="text-align:right;">
-279.968
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 <td style="text-align:right;">
-402.163
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 <td style="text-align:right;">
-286.723
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 </td>
 <td style="text-align:right;">
-863.639
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 </td>
 <td style="text-align:right;">
-0.189
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 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Dracocephalum stamineum
+Thymus odoratissimus
 </td>
 <td style="text-align:right;">
-1
+13
 </td>
 <td style="text-align:right;">
-0.473
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 </td>
 <td style="text-align:right;">
-0.397
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 </td>
 <td style="text-align:right;">
-17.156
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 </td>
 <td style="text-align:right;">
-456.988
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 </td>
 <td style="text-align:right;">
-32.450
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 </td>
 <td style="text-align:right;">
-0.947
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 </td>
 <td style="text-align:right;">
-0.142
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 </td>
 <td style="text-align:right;">
-0.039
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 </td>
 <td style="text-align:right;">
-1.238
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 </td>
 <td style="text-align:right;">
-1.891
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 </td>
 <td style="text-align:right;">
-0.234
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 </td>
 <td style="text-align:right;">
-0.249
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 </td>
 <td style="text-align:right;">
-1.782
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 </td>
 <td style="text-align:right;">
-9.338
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 </td>
 <td style="text-align:right;">
-0.786
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 </td>
 <td style="text-align:right;">
-75.895
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 </td>
 <td style="text-align:right;">
-33.682
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 </td>
 <td style="text-align:right;">
-20.333
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 </td>
 <td style="text-align:right;">
-1.049
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 </td>
 <td style="text-align:right;">
-15.238
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 </td>
 <td style="text-align:right;">
-0.042
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 </td>
 <td style="text-align:right;">
-64.487
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 </td>
 <td style="text-align:right;">
-16.098
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 </td>
 <td style="text-align:right;">
-2.232
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 </td>
 <td style="text-align:right;">
-2.541
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 </td>
 <td style="text-align:right;">
-30.286
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 </td>
 <td style="text-align:right;">
-199.930
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 </td>
 <td style="text-align:right;">
-524.451
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 </td>
 <td style="text-align:right;">
-3880.706
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 </td>
 <td style="text-align:right;">
-143.676
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 </td>
 <td style="text-align:right;">
-281.742
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 </td>
 <td style="text-align:right;">
-438.693
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 </td>
 <td style="text-align:right;">
-4.710
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 <td style="text-align:right;">
-NA
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 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Gutenbergia westii
+Machilus kwangtungensis
 </td>
 <td style="text-align:right;">
-5
+1
 </td>
 <td style="text-align:right;">
-0.463
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 </td>
 <td style="text-align:right;">
-0.848
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 </td>
 <td style="text-align:right;">
-18.387
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 </td>
 <td style="text-align:right;">
-443.249
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 </td>
 <td style="text-align:right;">
-19.592
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 </td>
 <td style="text-align:right;">
-1.429
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 </td>
 <td style="text-align:right;">
-0.795
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 </td>
 <td style="text-align:right;">
-0.022
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 </td>
 <td style="text-align:right;">
-0.784
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 </td>
 <td style="text-align:right;">
-2.192
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 </td>
 <td style="text-align:right;">
-0.240
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 </td>
 <td style="text-align:right;">
-0.244
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 </td>
 <td style="text-align:right;">
-1.152
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 </td>
 <td style="text-align:right;">
-43.960
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 </td>
 <td style="text-align:right;">
--0.106
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 </td>
 <td style="text-align:right;">
-69.580
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 </td>
 <td style="text-align:right;">
-877.181
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 </td>
 <td style="text-align:right;">
-59.294
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 </td>
 <td style="text-align:right;">
-1.850
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 </td>
 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-187.695
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 <td style="text-align:right;">
-26.786
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 <td style="text-align:right;">
-0.996
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-0.347
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 <td style="text-align:right;">
-0.852
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 <td style="text-align:right;">
-0.145
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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-256.539
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-0.091
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 </tr>
 <tr>
 <td style="text-align:left;">
-Ximenia americana
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 </td>
 <td style="text-align:right;">
-37
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 </td>
 <td style="text-align:right;">
-0.822
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-452.916
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 </td>
 <td style="text-align:right;">
-17.692
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 <td style="text-align:right;">
-5.405
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 <td style="text-align:right;">
-0.053
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 <td style="text-align:right;">
-656.444
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 </td>
 <td style="text-align:right;">
-24.254
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 <td style="text-align:right;">
-0.654
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 <td style="text-align:right;">
-63.714
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-74.972
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-42.643
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 </td>
 <td style="text-align:right;">
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 <td style="text-align:right;">
-44.078
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 <td style="text-align:right;">
-0.064
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 </td>
 <td style="text-align:right;">
-10.389
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-25.811
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 </td>
 <td style="text-align:right;">
-43.612
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 </td>
 <td style="text-align:right;">
-301.814
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 </td>
 <td style="text-align:right;">
-1267.811
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 </td>
 <td style="text-align:right;">
-1286.962
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 <td style="text-align:right;">
-1183.807
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 </td>
 <td style="text-align:right;">
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 <td style="text-align:right;">
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-0.542
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-1.399
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-110.898
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 </td>
 <td style="text-align:right;">
-192.507
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 </td>
 <td style="text-align:right;">
-168.663
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 </td>
 <td style="text-align:right;">
-65.260
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 <td style="text-align:right;">
-0.052
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 </tr>
 <tr>
 <td style="text-align:left;">
-Erica johnstoniana
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 </td>
 <td style="text-align:right;">
-10
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 </td>
 <td style="text-align:right;">
-0.577
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 </td>
 <td style="text-align:right;">
-0.174
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 <td style="text-align:right;">
-8.151
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 </td>
 <td style="text-align:right;">
-522.106
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 <td style="text-align:right;">
-9.422
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 </td>
 <td style="text-align:right;">
-0.818
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-0.727
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 <td style="text-align:right;">
-0.158
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 <td style="text-align:right;">
-0.082
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 <td style="text-align:right;">
-0.726
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 <td style="text-align:right;">
-0.166
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 </td>
 <td style="text-align:right;">
-0.390
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 <td style="text-align:right;">
-1.349
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 </td>
 <td style="text-align:right;">
-2.983
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 </td>
 <td style="text-align:right;">
--2.699
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 </td>
 <td style="text-align:right;">
-81.563
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 </td>
 <td style="text-align:right;">
-2046.082
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 </td>
 <td style="text-align:right;">
-4.012
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 <td style="text-align:right;">
-0.199
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 <td style="text-align:right;">
-58.180
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-0.008
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 </td>
 <td style="text-align:right;">
-146.991
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 <td style="text-align:right;">
-25.000
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 </td>
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-0.668
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 </td>
 <td style="text-align:right;">
-32.358
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-626.854
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 </td>
 <td style="text-align:right;">
-1284.830
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 </td>
 <td style="text-align:right;">
-23.114
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 </td>
 <td style="text-align:right;">
-12.807
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 </td>
 <td style="text-align:right;">
-13.890
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 </td>
 <td style="text-align:right;">
-2.340
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 </td>
 <td style="text-align:right;">
 0.007
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 <td style="text-align:right;">
-0.022
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 <td style="text-align:right;">
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 </td>
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-0.069
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 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Aegiphila cephalophora
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 </td>
 <td style="text-align:right;">
-47
+2
 </td>
 <td style="text-align:right;">
-0.454
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 </td>
 <td style="text-align:right;">
-0.396
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 </td>
 <td style="text-align:right;">
-24.788
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 </td>
 <td style="text-align:right;">
-464.402
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 </td>
 <td style="text-align:right;">
-30.305
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 </td>
 <td style="text-align:right;">
-1.633
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 </td>
 <td style="text-align:right;">
-7.634
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 </td>
 <td style="text-align:right;">
-0.068
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 </td>
 <td style="text-align:right;">
-20.383
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 <td style="text-align:right;">
-3.988
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 </td>
 <td style="text-align:right;">
-0.224
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 </td>
 <td style="text-align:right;">
-0.272
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 </td>
 <td style="text-align:right;">
-1.311
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 </td>
 <td style="text-align:right;">
-177.236
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 </td>
 <td style="text-align:right;">
-2.293
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 </td>
 <td style="text-align:right;">
-81.360
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 </td>
 <td style="text-align:right;">
-641.517
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 </td>
 <td style="text-align:right;">
-104.584
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 </td>
 <td style="text-align:right;">
-7.436
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 </td>
 <td style="text-align:right;">
-19.247
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 </td>
 <td style="text-align:right;">
-0.708
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 </td>
 <td style="text-align:right;">
-63.436
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 </td>
 <td style="text-align:right;">
-29.777
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 <td style="text-align:right;">
-2.436
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 </td>
 <td style="text-align:right;">
-5.781
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 </td>
 <td style="text-align:right;">
-34.463
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 </td>
 <td style="text-align:right;">
-383.310
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 <td style="text-align:right;">
-919.072
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 </td>
 <td style="text-align:right;">
-6514.713
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 </td>
 <td style="text-align:right;">
-4321.571
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 </td>
 <td style="text-align:right;">
-4416.020
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 </td>
 <td style="text-align:right;">
-4335.465
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 </td>
 <td style="text-align:right;">
-4.693
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-0.008
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-0.040
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 <td style="text-align:right;">
-3.746
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-0.604
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 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Tragia furialis
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 </td>
 <td style="text-align:right;">
-4
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 </td>
 <td style="text-align:right;">
-0.555
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 </td>
 <td style="text-align:right;">
-1.212
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 </td>
 <td style="text-align:right;">
-14.611
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 </td>
 <td style="text-align:right;">
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 <td style="text-align:right;">
-10.485
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 <td style="text-align:right;">
-0.790
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-0.023
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-1.809
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-88.764
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-89.915
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 <td style="text-align:right;">
-3.530
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 </td>
 <td style="text-align:right;">
-63.519
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 </td>
 <td style="text-align:right;">
-0.747
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 </td>
 <td style="text-align:right;">
-25.394
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 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-32.852
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 </td>
 <td style="text-align:right;">
-375.868
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 </td>
 <td style="text-align:right;">
-781.889
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 </td>
 <td style="text-align:right;">
-4291.968
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 </td>
 <td style="text-align:right;">
-2648.300
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 </td>
 <td style="text-align:right;">
-2712.412
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 </td>
 <td style="text-align:right;">
-4196.031
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 </td>
 <td style="text-align:right;">
-3.682
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 </td>
 <td style="text-align:right;">
-0.005
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 </td>
 <td style="text-align:right;">
-0.072
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 </td>
 <td style="text-align:right;">
-0.420
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 </td>
 <td style="text-align:right;">
-1.836
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 </td>
 <td style="text-align:right;">
-0.142
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 </td>
 <td style="text-align:right;">
-0.027
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 </td>
 <td style="text-align:right;">
-0.075
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 </td>
 <td style="text-align:right;">
 0.001
 </td>
 <td style="text-align:right;">
-0.701
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 </td>
 <td style="text-align:right;">
-0.077
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 </td>
 <td style="text-align:right;">
-0.004
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 </td>
 <td style="text-align:right;">
 0.005
 </td>
 <td style="text-align:right;">
-0.019
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 </td>
 <td style="text-align:right;">
-54.487
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 </td>
 <td style="text-align:right;">
-0.096
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 </td>
 <td style="text-align:right;">
-0.980
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 </td>
 <td style="text-align:right;">
-100.854
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 </td>
 <td style="text-align:right;">
-40.303
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 </td>
 <td style="text-align:right;">
-1.702
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 </td>
 <td style="text-align:right;">
-0.492
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 </td>
 <td style="text-align:right;">
-0.187
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 </td>
 <td style="text-align:right;">
-0.907
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 </td>
 <td style="text-align:right;">
-0.428
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 </td>
 <td style="text-align:right;">
-0.161
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 </td>
 <td style="text-align:right;">
-0.105
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 </td>
 <td style="text-align:right;">
-1.138
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 </td>
 <td style="text-align:right;">
-18.670
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 </td>
 <td style="text-align:right;">
-32.068
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 </td>
 <td style="text-align:right;">
-104.820
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 </td>
 <td style="text-align:right;">
-680.378
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 </td>
 <td style="text-align:right;">
-642.966
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 </td>
 <td style="text-align:right;">
-1517.291
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 </td>
 <td style="text-align:right;">
-0.065
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 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Amberboa glauca
+Tarasa operculata
 </td>
 <td style="text-align:right;">
 1
 </td>
 <td style="text-align:right;">
-0.473
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 </td>
 <td style="text-align:right;">
-0.875
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 </td>
 <td style="text-align:right;">
-14.916
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 </td>
 <td style="text-align:right;">
-444.242
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 </td>
 <td style="text-align:right;">
-20.238
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 </td>
 <td style="text-align:right;">
-1.620
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 </td>
 <td style="text-align:right;">
-0.628
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 </td>
 <td style="text-align:right;">
-0.018
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 </td>
 <td style="text-align:right;">
-2.967
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 </td>
 <td style="text-align:right;">
-3.419
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 </td>
 <td style="text-align:right;">
-0.287
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 </td>
 <td style="text-align:right;">
-0.255
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 </td>
 <td style="text-align:right;">
-1.453
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 </td>
 <td style="text-align:right;">
-39.809
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 </td>
 <td style="text-align:right;">
-0.634
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 </td>
 <td style="text-align:right;">
-89.827
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 </td>
 <td style="text-align:right;">
-661.733
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 </td>
 <td style="text-align:right;">
-63.102
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 <td style="text-align:right;">
-1.318
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 </td>
 <td style="text-align:right;">
-28.835
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 <td style="text-align:right;">
-0.165
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 <td style="text-align:right;">
-77.310
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 <td style="text-align:right;">
-27.461
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 <td style="text-align:right;">
-5.009
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-33.619
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 <td style="text-align:right;">
-456.478
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 <td style="text-align:right;">
-904.224
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 <td style="text-align:right;">
-3589.555
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 </td>
 <td style="text-align:right;">
-528.584
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 </td>
 <td style="text-align:right;">
-545.589
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 <td style="text-align:right;">
-642.198
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 </td>
 <td style="text-align:right;">
-4.578
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 </td>
 <td style="text-align:right;">
 NA
@@ -3453,1032 +3721,1032 @@ NA
 </tr>
 <tr>
 <td style="text-align:left;">
-Artabotrys vanprukii
+Cryptantha flava
 </td>
 <td style="text-align:right;">
-3
+1
 </td>
 <td style="text-align:right;">
-0.600
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 </td>
 <td style="text-align:right;">
-1.402
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 </td>
 <td style="text-align:right;">
-17.059
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 </td>
 <td style="text-align:right;">
-474.072
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 </td>
 <td style="text-align:right;">
-24.671
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 </td>
 <td style="text-align:right;">
-1.247
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 </td>
 <td style="text-align:right;">
-4.831
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 </td>
 <td style="text-align:right;">
-0.289
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 </td>
 <td style="text-align:right;">
-229.997
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 </td>
 <td style="text-align:right;">
-5.616
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 </td>
 <td style="text-align:right;">
-0.154
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 </td>
 <td style="text-align:right;">
-0.339
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 </td>
 <td style="text-align:right;">
-1.584
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 </td>
 <td style="text-align:right;">
-233.077
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 </td>
 <td style="text-align:right;">
-2.755
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 </td>
 <td style="text-align:right;">
-56.828
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 </td>
 <td style="text-align:right;">
-8.499
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 </td>
 <td style="text-align:right;">
-67.753
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 </td>
 <td style="text-align:right;">
-3.300
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 </td>
 <td style="text-align:right;">
-19.779
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 </td>
 <td style="text-align:right;">
-0.692
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 </td>
 <td style="text-align:right;">
-10.333
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 </td>
 <td style="text-align:right;">
-28.131
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 </td>
 <td style="text-align:right;">
-2.658
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 </td>
 <td style="text-align:right;">
-5.155
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 </td>
 <td style="text-align:right;">
-91.044
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 </td>
 <td style="text-align:right;">
-440.862
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 </td>
 <td style="text-align:right;">
-1024.450
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 </td>
 <td style="text-align:right;">
-545.714
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 </td>
 <td style="text-align:right;">
-3023.022
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 </td>
 <td style="text-align:right;">
-2610.311
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 </td>
 <td style="text-align:right;">
-3259.601
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 </td>
 <td style="text-align:right;">
-3.230
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 </td>
 <td style="text-align:right;">
-0.002
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-0.271
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 </td>
 <td style="text-align:right;">
-0.172
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 <td style="text-align:right;">
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-3.472
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-0.003
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 <td style="text-align:right;">
-0.002
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 </td>
 <td style="text-align:right;">
-0.027
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-17.721
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 <td style="text-align:right;">
-0.027
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 <td style="text-align:right;">
-1.510
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 </td>
 <td style="text-align:right;">
-6.724
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 </td>
 <td style="text-align:right;">
-5.591
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 </td>
 <td style="text-align:right;">
-0.371
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 <td style="text-align:right;">
-0.249
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 </td>
 <td style="text-align:right;">
-0.053
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 </td>
 <td style="text-align:right;">
-3.323
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 </td>
 <td style="text-align:right;">
-2.845
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 </td>
 <td style="text-align:right;">
-0.111
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 </td>
 <td style="text-align:right;">
-0.182
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 </td>
 <td style="text-align:right;">
-18.491
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 </td>
 <td style="text-align:right;">
-129.524
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 </td>
 <td style="text-align:right;">
-186.488
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 </td>
 <td style="text-align:right;">
-30.494
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 </td>
 <td style="text-align:right;">
-236.462
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 </td>
 <td style="text-align:right;">
-101.292
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 </td>
 <td style="text-align:right;">
-331.270
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 </td>
 <td style="text-align:right;">
-0.079
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 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Hakea minyma
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 </td>
 <td style="text-align:right;">
-9
+1
 </td>
 <td style="text-align:right;">
-0.793
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 </td>
 <td style="text-align:right;">
-5.485
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 </td>
 <td style="text-align:right;">
-2.916
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 </td>
 <td style="text-align:right;">
-464.200
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 </td>
 <td style="text-align:right;">
-8.469
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 </td>
 <td style="text-align:right;">
-0.265
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 </td>
 <td style="text-align:right;">
-2.218
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 </td>
 <td style="text-align:right;">
-0.137
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 </td>
 <td style="text-align:right;">
-9.630
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 </td>
 <td style="text-align:right;">
-3.624
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 </td>
 <td style="text-align:right;">
-0.932
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 </td>
 <td style="text-align:right;">
-0.441
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 </td>
 <td style="text-align:right;">
-2.909
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 </td>
 <td style="text-align:right;">
-142.431
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 </td>
 <td style="text-align:right;">
-0.288
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 </td>
 <td style="text-align:right;">
-95.392
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 </td>
 <td style="text-align:right;">
-450.913
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 </td>
 <td style="text-align:right;">
-17.614
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 </td>
 <td style="text-align:right;">
-1.596
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 </td>
 <td style="text-align:right;">
-56.156
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 </td>
 <td style="text-align:right;">
-0.319
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 </td>
 <td style="text-align:right;">
-208.862
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 </td>
 <td style="text-align:right;">
-13.329
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 </td>
 <td style="text-align:right;">
-1.968
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 </td>
 <td style="text-align:right;">
-4.373
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 </td>
 <td style="text-align:right;">
-16.555
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 </td>
 <td style="text-align:right;">
-305.234
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 </td>
 <td style="text-align:right;">
-636.889
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 </td>
 <td style="text-align:right;">
-4860.843
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 </td>
 <td style="text-align:right;">
-376.332
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 </td>
 <td style="text-align:right;">
-386.763
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 </td>
 <td style="text-align:right;">
-566.380
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 </td>
 <td style="text-align:right;">
-2.277
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 </td>
 <td style="text-align:right;">
-0.004
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 <td style="text-align:right;">
-0.250
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 <td style="text-align:right;">
-0.060
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 <td style="text-align:right;">
-1.099
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 <td style="text-align:right;">
-0.077
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-0.116
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-0.136
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 <td style="text-align:right;">
-0.009
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 <td style="text-align:right;">
-0.003
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 <td style="text-align:right;">
-0.062
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 <td style="text-align:right;">
-14.007
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 </td>
 <td style="text-align:right;">
-0.119
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 </td>
 <td style="text-align:right;">
-0.444
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 </td>
 <td style="text-align:right;">
-56.085
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 </td>
 <td style="text-align:right;">
-1.199
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 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-0.526
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 </td>
 <td style="text-align:right;">
-0.031
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 </td>
 <td style="text-align:right;">
-6.075
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 </td>
 <td style="text-align:right;">
-0.122
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 </td>
 <td style="text-align:right;">
-0.028
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 </td>
 <td style="text-align:right;">
-0.168
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 </td>
 <td style="text-align:right;">
-0.354
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 </td>
 <td style="text-align:right;">
-3.615
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 </td>
 <td style="text-align:right;">
-7.742
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 </td>
 <td style="text-align:right;">
-230.112
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 </td>
 <td style="text-align:right;">
-37.559
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 </td>
 <td style="text-align:right;">
-32.186
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 </td>
 <td style="text-align:right;">
-62.014
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 </td>
 <td style="text-align:right;">
-0.030
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 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Galanthus nivalis
+Lepidium montanum
 </td>
 <td style="text-align:right;">
-51
+1
 </td>
 <td style="text-align:right;">
-0.319
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 </td>
 <td style="text-align:right;">
-0.165
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 </td>
 <td style="text-align:right;">
-26.178
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 </td>
 <td style="text-align:right;">
-446.117
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 </td>
 <td style="text-align:right;">
-30.725
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 </td>
 <td style="text-align:right;">
-2.383
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 </td>
 <td style="text-align:right;">
-0.147
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 </td>
 <td style="text-align:right;">
-0.010
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 </td>
 <td style="text-align:right;">
-6.470
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 </td>
 <td style="text-align:right;">
-3.624
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 </td>
 <td style="text-align:right;">
-0.309
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 </td>
 <td style="text-align:right;">
-0.104
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 </td>
 <td style="text-align:right;">
-1.363
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 </td>
 <td style="text-align:right;">
-52.496
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 </td>
 <td style="text-align:right;">
-1.109
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 </td>
 <td style="text-align:right;">
-81.973
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 </td>
 <td style="text-align:right;">
-18.746
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 </td>
 <td style="text-align:right;">
-122.501
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 </td>
 <td style="text-align:right;">
-0.371
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 </td>
 <td style="text-align:right;">
-16.405
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 </td>
 <td style="text-align:right;">
-0.347
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 </td>
 <td style="text-align:right;">
-6.740
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 </td>
 <td style="text-align:right;">
-23.947
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-4.587
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 </td>
 <td style="text-align:right;">
-34.396
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 </td>
 <td style="text-align:right;">
-456.795
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 </td>
 <td style="text-align:right;">
-1341.087
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 </td>
 <td style="text-align:right;">
-2230.299
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 </td>
 <td style="text-align:right;">
-1079.673
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 </td>
 <td style="text-align:right;">
-1489.264
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-7.410
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-0.010
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 </td>
 <td style="text-align:right;">
-1.717
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 <td style="text-align:right;">
-1.024
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-0.674
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 <td style="text-align:right;">
-0.236
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 <td style="text-align:right;">
-0.008
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-0.062
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 </td>
 <td style="text-align:right;">
-7.422
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 </td>
 <td style="text-align:right;">
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 </td>
 <td style="text-align:right;">
-0.423
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 </td>
 <td style="text-align:right;">
-5.430
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 <td style="text-align:right;">
-9.929
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 <td style="text-align:right;">
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 <td style="text-align:right;">
-0.289
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 <td style="text-align:right;">
-0.044
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 <td style="text-align:right;">
-0.273
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 <td style="text-align:right;">
-0.264
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 </td>
 <td style="text-align:right;">
-0.255
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 </td>
 <td style="text-align:right;">
-0.280
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 </td>
 <td style="text-align:right;">
-0.989
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 </td>
 <td style="text-align:right;">
-12.361
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 </td>
 <td style="text-align:right;">
-30.863
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 </td>
 <td style="text-align:right;">
-89.896
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 </td>
 <td style="text-align:right;">
-125.672
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 </td>
 <td style="text-align:right;">
-185.267
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 </td>
 <td style="text-align:right;">
-54.073
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 </td>
 <td style="text-align:right;">
-0.238
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 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Utricularia baoulensis
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 </td>
 <td style="text-align:right;">
-3
+2
 </td>
 <td style="text-align:right;">
-0.464
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 </td>
 <td style="text-align:right;">
-0.102
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 </td>
 <td style="text-align:right;">
-67.929
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 </td>
 <td style="text-align:right;">
-405.155
+451.291
 </td>
 <td style="text-align:right;">
-28.444
+19.110
 </td>
 <td style="text-align:right;">
-1.508
+1.438
 </td>
 <td style="text-align:right;">
-0.282
+0.306
 </td>
 <td style="text-align:right;">
 0.009
 </td>
 <td style="text-align:right;">
-0.025
+0.921
 </td>
 <td style="text-align:right;">
-0.747
+2.060
 </td>
 <td style="text-align:right;">
-0.198
+0.214
 </td>
 <td style="text-align:right;">
-0.133
+0.365
 </td>
 <td style="text-align:right;">
-0.391
+1.429
 </td>
 <td style="text-align:right;">
-0.920
+33.458
 </td>
 <td style="text-align:right;">
-4.996
+-0.461
 </td>
 <td style="text-align:right;">
-88.306
+85.218
 </td>
 <td style="text-align:right;">
-34.012
+99.079
 </td>
 <td style="text-align:right;">
-22.633
+78.098
 </td>
 <td style="text-align:right;">
-0.091
+0.526
 </td>
 <td style="text-align:right;">
-12.104
+24.389
 </td>
 <td style="text-align:right;">
-0.007
+0.092
 </td>
 <td style="text-align:right;">
-39.560
+38.384
 </td>
 <td style="text-align:right;">
-42.740
+57.306
 </td>
 <td style="text-align:right;">
-0.772
+1.453
 </td>
 <td style="text-align:right;">
-1.040
+3.052
 </td>
 <td style="text-align:right;">
-19.627
+125.713
 </td>
 <td style="text-align:right;">
-98.105
+399.304
 </td>
 <td style="text-align:right;">
-376.070
+862.064
 </td>
 <td style="text-align:right;">
-17173.734
+5770.978
 </td>
 <td style="text-align:right;">
-62.818
+539.495
 </td>
 <td style="text-align:right;">
-118.325
+593.549
 </td>
 <td style="text-align:right;">
-64.294
+613.632
 </td>
 <td style="text-align:right;">
-15.393
+2.383
 </td>
 <td style="text-align:right;">
-0.005
+0.001
 </td>
 <td style="text-align:right;">
-0.008
+0.017
 </td>
 <td style="text-align:right;">
-3.112
+0.170
 </td>
 <td style="text-align:right;">
-0.937
+0.034
 </td>
 <td style="text-align:right;">
-0.853
+0.051
 </td>
 <td style="text-align:right;">
-0.011
+0.022
 </td>
 <td style="text-align:right;">
-0.046
+0.007
 </td>
 <td style="text-align:right;">
 0.000
 </td>
 <td style="text-align:right;">
-0.002
+0.015
 </td>
 <td style="text-align:right;">
-0.028
+0.001
 </td>
 <td style="text-align:right;">
-0.002
+0.001
 </td>
 <td style="text-align:right;">
-0.007
+0.000
 </td>
 <td style="text-align:right;">
-0.007
+0.025
 </td>
 <td style="text-align:right;">
-0.271
+3.382
 </td>
 <td style="text-align:right;">
-0.149
+0.103
 </td>
 <td style="text-align:right;">
-0.907
+0.313
 </td>
 <td style="text-align:right;">
-3.289
+7.590
 </td>
 <td style="text-align:right;">
-8.145
+4.617
 </td>
 <td style="text-align:right;">
 0.045
 </td>
 <td style="text-align:right;">
-0.185
+0.148
 </td>
 <td style="text-align:right;">
-0.002
+0.010
 </td>
 <td style="text-align:right;">
-0.627
+1.194
 </td>
 <td style="text-align:right;">
-0.656
+0.075
 </td>
 <td style="text-align:right;">
-0.040
+0.033
 </td>
 <td style="text-align:right;">
-0.025
+0.042
 </td>
 <td style="text-align:right;">
-0.470
+0.533
 </td>
 <td style="text-align:right;">
-5.702
+4.443
 </td>
 <td style="text-align:right;">
-11.754
+3.451
 </td>
 <td style="text-align:right;">
-425.072
+119.024
 </td>
 <td style="text-align:right;">
-19.667
+63.180
 </td>
 <td style="text-align:right;">
-32.632
+50.278
 </td>
 <td style="text-align:right;">
-24.557
+75.894
 </td>
 <td style="text-align:right;">
-0.490
+0.013
 </td>
 </tr>
 <tr>
 <td style="text-align:left;">
-Aspalathus pachyloba
+Sinobambusa tootsik
 </td>
 <td style="text-align:right;">
-1
+2
 </td>
 <td style="text-align:right;">
-0.571
+0.434
 </td>
 <td style="text-align:right;">
-0.979
+0.903
 </td>
 <td style="text-align:right;">
-11.230
+18.260
 </td>
 <td style="text-align:right;">
-464.302
+451.563
 </td>
 <td style="text-align:right;">
-23.558
+20.126
 </td>
 <td style="text-align:right;">
-1.296
+1.411
 </td>
 <td style="text-align:right;">
-1.994
+9.253
 </td>
 <td style="text-align:right;">
-0.130
+0.023
 </td>
 <td style="text-align:right;">
-5.021
+2.999
 </td>
 <td style="text-align:right;">
-3.027
+4.294
 </td>
 <td style="text-align:right;">
-0.244
+0.165
 </td>
 <td style="text-align:right;">
-0.354
+0.358
 </td>
 <td style="text-align:right;">
-2.188
+1.083
 </td>
 <td style="text-align:right;">
-66.808
+46.928
 </td>
 <td style="text-align:right;">
-0.944
+1.306
 </td>
 <td style="text-align:right;">
-95.009
+85.368
 </td>
 <td style="text-align:right;">
-78.946
+2598.157
 </td>
 <td style="text-align:right;">
-29.737
+88.123
 </td>
 <td style="text-align:right;">
-0.935
+0.987
 </td>
 <td style="text-align:right;">
-22.215
+21.096
 </td>
 <td style="text-align:right;">
-0.196
+0.143
 </td>
 <td style="text-align:right;">
-26.015
+32.831
 </td>
 <td style="text-align:right;">
-21.585
+27.569
 </td>
 <td style="text-align:right;">
-2.848
+6.129
 </td>
 <td style="text-align:right;">
-4.317
+4.890
 </td>
 <td style="text-align:right;">
-19.210
+41.483
 </td>
 <td style="text-align:right;">
-267.666
+440.927
 </td>
 <td style="text-align:right;">
-619.429
+1109.670
 </td>
 <td style="text-align:right;">
-1416.779
+7099.183
 </td>
 <td style="text-align:right;">
-809.560
+897.278
 </td>
 <td style="text-align:right;">
-579.425
+936.116
 </td>
 <td style="text-align:right;">
-558.678
+944.993
 </td>
 <td style="text-align:right;">
-2.919
+2.658
 </td>
 <td style="text-align:right;">
-NA
+0.002
 </td>
 <td style="text-align:right;">
-NA
+0.060
 </td>
 <td style="text-align:right;">
-NA
+0.685
 </td>
 <td style="text-align:right;">
-NA
+1.418
 </td>
 <td style="text-align:right;">
-NA
+0.035
 </td>
 <td style="text-align:right;">
-NA
+0.011
 </td>
 <td style="text-align:right;">
-NA
+0.888
 </td>
 <td style="text-align:right;">
-NA
+0.001
 </td>
 <td style="text-align:right;">
-NA
+0.111
 </td>
 <td style="text-align:right;">
-NA
+0.091
 </td>
 <td style="text-align:right;">
-NA
+0.003
 </td>
 <td style="text-align:right;">
-NA
+0.004
 </td>
 <td style="text-align:right;">
-NA
+0.038
 </td>
 <td style="text-align:right;">
-NA
+2.224
 </td>
 <td style="text-align:right;">
-NA
+0.050
 </td>
 <td style="text-align:right;">
-NA
+0.231
 </td>
 <td style="text-align:right;">
-NA
+457.735
 </td>
 <td style="text-align:right;">
-NA
+1.700
 </td>
 <td style="text-align:right;">
-NA
+0.004
 </td>
 <td style="text-align:right;">
-NA
+0.029
 </td>
 <td style="text-align:right;">
-NA
+0.005
 </td>
 <td style="text-align:right;">
-NA
+0.375
 </td>
 <td style="text-align:right;">
-NA
+0.251
 </td>
 <td style="text-align:right;">
-NA
+0.016
 </td>
 <td style="text-align:right;">
-NA
+0.029
 </td>
 <td style="text-align:right;">
-NA
+1.191
 </td>
 <td style="text-align:right;">
-NA
+4.326
 </td>
 <td style="text-align:right;">
-NA
+15.199
 </td>
 <td style="text-align:right;">
-NA
+36.147
 </td>
 <td style="text-align:right;">
-NA
+20.688
 </td>
 <td style="text-align:right;">
-NA
+13.544
 </td>
 <td style="text-align:right;">
-NA
+13.579
 </td>
 <td style="text-align:right;">
-NA
+0.040
 </td>
 </tr>
 </tbody>
@@ -4496,10 +4764,10 @@ NA
   dplyr::select(Taxon_name, Rank_correct, everything())
 
 total.matches &lt;- DT2 %&gt;%
-  distinct(species, Rank_correct) %&gt;%
+  distinct(Species, Rank_correct) %&gt;%
   left_join(try.combined.means %&gt;%
-              dplyr::rename(species=Taxon_name), 
-            by=c(&quot;species&quot;, &quot;Rank_correct&quot;)) %&gt;% 
+              dplyr::rename(Species=Taxon_name), 
+            by=c(&quot;Species&quot;, &quot;Rank_correct&quot;)) %&gt;% 
   filter(!is.na(SLA_mean)) %&gt;% 
   nrow()</code></pre>
 <p>The total number of matched taxa (either at species, or genus level) is 31822.</p>
@@ -4520,7 +4788,11 @@ total.matches &lt;- DT2 %&gt;%
   separate(variable, sep=&quot;_&quot;, into=c(&quot;variable&quot;, &quot;mean.sd&quot;, &quot;stat&quot;)) %&gt;% 
   mutate(stat=factor(stat, levels=c(&quot;min&quot;, &quot;q025&quot;, &quot;q50&quot;, &quot;q75&quot;, &quot;max&quot;, &quot;mean&quot;, &quot;sd&quot;))) %&gt;% 
   spread(key=stat, value=value) %&gt;% 
-  arrange(desc(Rank_correct))</code></pre>
+  arrange(desc(Rank_correct)) %&gt;% 
+  mutate_at(.vars=vars(min:sd),
+            .funs=~round(.,3))</code></pre>
+<pre><code>## Warning: attributes are not identical across measure variables;
+## they will be dropped</code></pre>
 <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
 <caption>
 Summary statistics for each trait, when summarized across species or genera
@@ -8802,17 +9074,19 @@ combine.cover &lt;- function(x){
 }
 
 DT2.comb &lt;- DT2 %&gt;% 
-  group_by(PlotObservationID, species, Rank_correct) %&gt;% 
-  summarize(Relative.cover=combine.cover(Relative.cover)) %&gt;%
+  group_by(PlotObservationID, Species, Rank_correct) %&gt;% 
+  summarize(Relative_cover=combine.cover(Relative_cover)) %&gt;%
   ungroup() %&gt;% 
   # re-normalize to 100%
   left_join(x=., 
             y={.} %&gt;% 
               group_by(PlotObservationID) %&gt;% 
-              summarize(Tot.cover=sum(Relative.cover)), 
+              summarize(Tot.cover=sum(Relative_cover)), 
             by=&quot;PlotObservationID&quot;) %&gt;% 
-  mutate(Relative.cover=Relative.cover/Tot.cover) %&gt;% 
+  mutate(Relative_cover=Relative_cover/Tot.cover) %&gt;% 
   dplyr::select(-Tot.cover)</code></pre>
+<pre><code>## `summarise()` regrouping output by &#39;PlotObservationID&#39;, &#39;Species&#39; (override with `.groups` argument)</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
 <p>Calculate CWMs and CWV, as well as plot coverage statistics (proportion of total cover for which trait info exist, and proportion of species for which we have trait info). To avoid misleading results, CWM is calculated ONLY for plots for which we have some abundance information. All plots where <code>Ab_scale</code>==“pa” in <strong>ANY</strong> of the layers are therefore excluded.</p>
 <pre class="r"><code># Tag plots where at least one layer has only p\a information 
 any_pa &lt;- DT2 %&gt;% 
@@ -8820,28 +9094,29 @@ any_pa &lt;- DT2 %&gt;%
   group_by(PlotObservationID) %&gt;% 
   summarize(any.pa=any(Ab_scale==&quot;pa&quot;)) %&gt;% 
   filter(any.pa==T) %&gt;% 
-  pull(PlotObservationID)
-length(any_pa)</code></pre>
-<pre><code>## [1] 270855</code></pre>
+  pull(PlotObservationID)</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
+<pre class="r"><code>length(any_pa)</code></pre>
+<pre><code>## [1] 272981</code></pre>
 <pre class="r"><code># Exclude plots above and merge species data table with traits
 CWM0 &lt;- DT2.comb %&gt;%
   filter(!PlotObservationID %in% any_pa) %&gt;% 
   left_join(try.combined.means %&gt;%
-              dplyr::rename(species=Taxon_name) %&gt;% 
-              dplyr::select(species, Rank_correct, ends_with(&quot;_mean&quot;)), 
-            by=c(&quot;species&quot;, &quot;Rank_correct&quot;))
+              dplyr::rename(Species=Taxon_name) %&gt;% 
+              dplyr::select(Species, Rank_correct, ends_with(&quot;_mean&quot;)), 
+            by=c(&quot;Species&quot;, &quot;Rank_correct&quot;))
 
 # Calculate CWM for each trait in each plot
 CWM1 &lt;- CWM0 %&gt;%
   group_by(PlotObservationID) %&gt;%
   summarize_at(.vars= vars(StemDens_mean:LeafWaterCont_mean),
-               .funs = list(~weighted.mean(., Relative.cover, na.rm=T))) %&gt;%
+               .funs = list(~weighted.mean(., Relative_cover, na.rm=T))) %&gt;%
   dplyr::select(PlotObservationID, order(colnames(.))) %&gt;%
   gather(key=variable, value=CWM, -PlotObservationID)
 
 # Calculate coverage for each trait in each plot
 CWM2 &lt;- CWM0 %&gt;%
-  mutate_at(.funs = list(~if_else(is.na(.),0,1) * Relative.cover), 
+  mutate_at(.funs = list(~if_else(is.na(.),0,1) * Relative_cover), 
             .vars = vars(StemDens_mean:LeafWaterCont_mean)) %&gt;%
   group_by(PlotObservationID) %&gt;%
   summarize_at(.vars= vars(StemDens_mean:LeafWaterCont_mean),
@@ -8863,2343 +9138,1585 @@ variance2.fun &lt;- function(trait, abu){
     m.trait &lt;- weighted.mean(trait,abu)
     res &lt;- sum(abu*(trait-m.trait)^2)
   }
-  res
-}
-
-CWM3 &lt;- CWM0 %&gt;%
-  group_by(PlotObservationID) %&gt;%
-  summarize_at(.vars= vars(StemDens_mean:LeafWaterCont_mean),
-               .funs = list(~variance2.fun(., Relative.cover))) %&gt;%
-  dplyr::select(PlotObservationID, order(colnames(.))) %&gt;%
-  gather(key=variable, value=CWV, -PlotObservationID)
-
-## Calculate proportion of species having traits
-CWM4 &lt;- CWM0 %&gt;%
-  group_by(PlotObservationID) %&gt;%
-  #distinct(PlotObservationID, species, .keep_all = T) %&gt;% 
-  summarize_at(.vars= vars(StemDens_mean:LeafWaterCont_mean),
-               .funs = list(~sum(!is.na(.)))) %&gt;%
-  dplyr::select(PlotObservationID, order(colnames(.))) %&gt;%
-  gather(key=variable, value=n.sp.with.trait, -PlotObservationID)
-
-# Join together
-CWM &lt;- CWM1 %&gt;%
-  left_join(CWM2, by=c(&quot;PlotObservationID&quot;, &quot;variable&quot;)) %&gt;%
-  left_join(CWM3, by=c(&quot;PlotObservationID&quot;, &quot;variable&quot;)) %&gt;%
-  left_join(CWM4, by=c(&quot;PlotObservationID&quot;, &quot;variable&quot;)) %&gt;%
-  left_join(CWM0 %&gt;% 
-              group_by(PlotObservationID) %&gt;%
-              summarize(sp.richness=n()), by=c(&quot;PlotObservationID&quot;)) %&gt;%
-  mutate(prop.sp.with.trait=n.sp.with.trait/sp.richness) %&gt;%
-  dplyr::select(PlotObservationID, variable, sp.richness, prop.sp.with.trait, trait.coverage, CWM, CWV) %&gt;% 
-  arrange(PlotObservationID)</code></pre>
-<div id="explore-cwm-output" class="section level3">
-<h3>2.1 Explore CWM output</h3>
-<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
-<caption>
-Community weighted means of 3 randomly selected plots
-</caption>
-<thead>
-<tr>
-<th style="text-align:right;">
-PlotObservationID
-</th>
-<th style="text-align:left;">
-variable
-</th>
-<th style="text-align:right;">
-sp.richness
-</th>
-<th style="text-align:right;">
-prop.sp.with.trait
-</th>
-<th style="text-align:right;">
-trait.coverage
-</th>
-<th style="text-align:right;">
-CWM
-</th>
-<th style="text-align:right;">
-CWV
-</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-Chromosome.cDNAcont_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-5.244
-</td>
-<td style="text-align:right;">
-6.690
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-Chromosome.n_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-30.680
-</td>
-<td style="text-align:right;">
-69.086
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-Disp.unit.leng_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-3.694
-</td>
-<td style="text-align:right;">
-1.455
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LDMC_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-0.320
-</td>
-<td style="text-align:right;">
-0.006
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafArea.leaflet.undef_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-745.622
-</td>
-<td style="text-align:right;">
-697935.874
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafArea.leaf.undef_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-564.225
-</td>
-<td style="text-align:right;">
-689875.144
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafArea.undef.undef_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-469.819
-</td>
-<td style="text-align:right;">
-299953.165
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafCN.ratio_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-26.432
-</td>
-<td style="text-align:right;">
-37.262
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafC.perdrymass_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-458.715
-</td>
-<td style="text-align:right;">
-183.249
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-Leaf.delta.15N_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
--1.825
-</td>
-<td style="text-align:right;">
-2.753
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafDryMass.single_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-33.667
-</td>
-<td style="text-align:right;">
-1627.341
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-Leaffreshmass_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-0.142
-</td>
-<td style="text-align:right;">
-0.090
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafLength_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-114.563
-</td>
-<td style="text-align:right;">
-3366.291
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafN_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-19.105
-</td>
-<td style="text-align:right;">
-35.752
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafNperArea_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-1.181
-</td>
-<td style="text-align:right;">
-0.044
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafP_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-1.594
-</td>
-<td style="text-align:right;">
-0.115
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafThickness_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-0.221
-</td>
-<td style="text-align:right;">
-0.004
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafWaterCont_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-3.601
-</td>
-<td style="text-align:right;">
-4.543
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-LeafWidth_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-0.997
-</td>
-<td style="text-align:right;">
-0.440
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-PlantHeight_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-0.356
-</td>
-<td style="text-align:right;">
-0.016
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-RootingDepth_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-0.282
-</td>
-<td style="text-align:right;">
-0.030
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-SeedGerminationRate_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-95.724
-</td>
-<td style="text-align:right;">
-50.734
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-Seed.length_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-3.000
-</td>
-<td style="text-align:right;">
-0.884
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-SeedMass_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-1.662
-</td>
-<td style="text-align:right;">
-3.275
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-Seed.num.rep.unit_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-312.290
-</td>
-<td style="text-align:right;">
-478574.430
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-SLA_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-16.936
-</td>
-<td style="text-align:right;">
-21.241
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-SpecificRootLength_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-5011.526
-</td>
-<td style="text-align:right;">
-25625710.566
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-Stem.cond.dens_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-60.399
-</td>
-<td style="text-align:right;">
-772.599
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-StemConduitDiameter_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-44.649
-</td>
-<td style="text-align:right;">
-1651.302
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-StemDens_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-0.363
-</td>
-<td style="text-align:right;">
-0.005
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-StemDiam_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-0.006
-</td>
-<td style="text-align:right;">
-0.000
-</td>
-</tr>
-<tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-WoodFiberLength_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-804.468
-</td>
-<td style="text-align:right;">
-35793.176
-</td>
-</tr>
+  res
+}
+
+CWM3 &lt;- CWM0 %&gt;%
+  group_by(PlotObservationID) %&gt;%
+  summarize_at(.vars= vars(StemDens_mean:LeafWaterCont_mean),
+               .funs = list(~variance2.fun(., Relative_cover))) %&gt;%
+  dplyr::select(PlotObservationID, order(colnames(.))) %&gt;%
+  gather(key=variable, value=CWV, -PlotObservationID)
+
+## Calculate proportion of species having traits
+CWM4 &lt;- CWM0 %&gt;%
+  group_by(PlotObservationID) %&gt;%
+  #distinct(PlotObservationID, species, .keep_all = T) %&gt;% 
+  summarize_at(.vars= vars(StemDens_mean:LeafWaterCont_mean),
+               .funs = list(~sum(!is.na(.)))) %&gt;%
+  dplyr::select(PlotObservationID, order(colnames(.))) %&gt;%
+  gather(key=variable, value=n.sp.with.trait, -PlotObservationID)
+
+# Join together
+CWM &lt;- CWM1 %&gt;%
+  left_join(CWM2, by=c(&quot;PlotObservationID&quot;, &quot;variable&quot;)) %&gt;%
+  left_join(CWM3, by=c(&quot;PlotObservationID&quot;, &quot;variable&quot;)) %&gt;%
+  left_join(CWM4, by=c(&quot;PlotObservationID&quot;, &quot;variable&quot;)) %&gt;%
+  left_join(CWM0 %&gt;% 
+              group_by(PlotObservationID) %&gt;%
+              summarize(sp.richness=n()), by=c(&quot;PlotObservationID&quot;)) %&gt;%
+  mutate(prop.sp.with.trait=n.sp.with.trait/sp.richness) %&gt;%
+  dplyr::select(PlotObservationID, variable, sp.richness, prop.sp.with.trait, trait.coverage, CWM, CWV) %&gt;% 
+  arrange(PlotObservationID)</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
+<div id="explore-cwm-output" class="section level3">
+<h3>2.1 Explore CWM output</h3>
+<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
+<caption>
+Community weighted means of 3 randomly selected plots
+</caption>
+<thead>
 <tr>
-<td style="text-align:right;">
-62739
-</td>
-<td style="text-align:left;">
-Wood.vessel.length_mean
-</td>
-<td style="text-align:right;">
-26
-</td>
-<td style="text-align:right;">
-0.846
-</td>
-<td style="text-align:right;">
-0.941
-</td>
-<td style="text-align:right;">
-492.260
-</td>
-<td style="text-align:right;">
-27213.267
-</td>
+<th style="text-align:right;">
+PlotObservationID
+</th>
+<th style="text-align:left;">
+variable
+</th>
+<th style="text-align:right;">
+sp.richness
+</th>
+<th style="text-align:right;">
+prop.sp.with.trait
+</th>
+<th style="text-align:right;">
+trait.coverage
+</th>
+<th style="text-align:right;">
+CWM
+</th>
+<th style="text-align:right;">
+CWV
+</th>
 </tr>
+</thead>
+<tbody>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 Chromosome.cDNAcont_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-4.718
+4.610
 </td>
 <td style="text-align:right;">
-11.528
+3.962500e+01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 Chromosome.n_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-41.252
+31.220
 </td>
 <td style="text-align:right;">
-106.114
+1.620460e+02
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 Disp.unit.leng_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-1.831
+42.398
 </td>
 <td style="text-align:right;">
-0.969
+9.593643e+04
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LDMC_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-0.239
+0.323
 </td>
 <td style="text-align:right;">
-0.002
+5.000000e-03
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafArea.leaflet.undef_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-348.742
+1791.514
 </td>
 <td style="text-align:right;">
-288472.020
+8.296512e+06
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafArea.leaf.undef_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-251.644
+2272310.513
 </td>
 <td style="text-align:right;">
-45279.816
+3.841014e+14
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafArea.undef.undef_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-411.875
+1702.047
 </td>
 <td style="text-align:right;">
-353167.476
+1.776553e+06
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafCN.ratio_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-20.280
+26.310
 </td>
 <td style="text-align:right;">
-23.234
+9.970200e+01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafC.perdrymass_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-441.364
+469.199
 </td>
 <td style="text-align:right;">
-126.327
+4.439610e+02
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 Leaf.delta.15N_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
--0.554
+-0.560
 </td>
 <td style="text-align:right;">
-0.129
+2.469000e+01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafDryMass.single_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-12.685
+123.828
 </td>
 <td style="text-align:right;">
-614.748
+2.821406e+04
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 Leaffreshmass_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-0.054
+0.574
 </td>
 <td style="text-align:right;">
-0.008
+3.567000e+00
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafLength_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-50.888
+93.050
 </td>
 <td style="text-align:right;">
-1175.144
+5.240739e+03
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafN_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-24.651
+19.974
 </td>
 <td style="text-align:right;">
-11.496
+2.104200e+01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafNperArea_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-1.188
+1.330
 </td>
 <td style="text-align:right;">
-0.128
+2.110000e-01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafP_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-1.876
+243.347
 </td>
 <td style="text-align:right;">
-0.096
+4.360164e+06
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafThickness_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-0.187
+0.219
 </td>
 <td style="text-align:right;">
-0.004
+8.000000e-03
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafWaterCont_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-4.692
+9.009
 </td>
 <td style="text-align:right;">
-0.884
+2.336575e+03
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 LeafWidth_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-0.677
+2.328
 </td>
 <td style="text-align:right;">
-0.181
+4.678000e+00
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 PlantHeight_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-0.347
+4.929
 </td>
 <td style="text-align:right;">
-0.015
+6.164000e+01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 RootingDepth_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-0.209
+0.555
 </td>
 <td style="text-align:right;">
-0.022
+1.010000e-01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 SeedGerminationRate_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-89.701
+85.594
 </td>
 <td style="text-align:right;">
-74.768
+8.822800e+01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 Seed.length_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-1.406
+13.557
 </td>
 <td style="text-align:right;">
-0.187
+6.270275e+03
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 SeedMass_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-0.596
+242.245
 </td>
 <td style="text-align:right;">
-0.311
+4.263994e+05
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 Seed.num.rep.unit_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-3636.007
+10154.788
 </td>
 <td style="text-align:right;">
-74356462.209
+3.771562e+09
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 SLA_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-24.377
+89.706
 </td>
 <td style="text-align:right;">
-65.668
+3.915915e+05
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 SpecificRootLength_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-12928.108
+11380611.499
 </td>
 <td style="text-align:right;">
-96188218.588
+9.640858e+15
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 Stem.cond.dens_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-72.800
+95.568
 </td>
 <td style="text-align:right;">
-8210.119
+4.202752e+03
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 StemConduitDiameter_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-46.710
+47.843
 </td>
 <td style="text-align:right;">
-332.728
+6.853140e+02
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 StemDens_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-0.360
+0.449
 </td>
 <td style="text-align:right;">
-0.003
+1.500000e-02
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 StemDiam_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-0.005
+0.090
 </td>
 <td style="text-align:right;">
-0.000
+1.700000e-02
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 WoodFiberLength_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-714.187
+858.274
 </td>
 <td style="text-align:right;">
-8195.128
+8.980877e+04
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-873674
+796833
 </td>
 <td style="text-align:left;">
 Wood.vessel.length_mean
 </td>
 <td style="text-align:right;">
-6
+44
 </td>
 <td style="text-align:right;">
-1.000
+0.909
 </td>
 <td style="text-align:right;">
-1.000
+0.944
 </td>
 <td style="text-align:right;">
-331.944
+482.047
 </td>
 <td style="text-align:right;">
-6284.534
+4.479830e+04
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 Chromosome.cDNAcont_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-1.984
+4.084
 </td>
 <td style="text-align:right;">
-7.342
+5.183000e+00
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 Chromosome.n_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-40.622
+29.592
 </td>
 <td style="text-align:right;">
-103.334
+4.619400e+01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 Disp.unit.leng_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-3.090
+2.057
 </td>
 <td style="text-align:right;">
-0.817
+3.770000e-01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LDMC_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-0.348
+0.201
 </td>
 <td style="text-align:right;">
-0.002
+3.000000e-03
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafArea.leaflet.undef_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-497.877
+5045.735
 </td>
 <td style="text-align:right;">
-47650.175
+9.275990e+07
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafArea.leaf.undef_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-699.620
+2894.653
 </td>
 <td style="text-align:right;">
-124626.639
+1.774991e+07
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafArea.undef.undef_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-722.654
+5887.095
 </td>
 <td style="text-align:right;">
-84269.641
+1.294313e+08
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafCN.ratio_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-23.206
+16.681
 </td>
 <td style="text-align:right;">
-12.241
+5.016600e+01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafC.perdrymass_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-479.582
+454.165
 </td>
 <td style="text-align:right;">
-185.281
+2.367720e+02
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 Leaf.delta.15N_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
--1.756
+1.766
 </td>
 <td style="text-align:right;">
-0.667
+3.035000e+00
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafDryMass.single_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-47.268
+171.790
 </td>
 <td style="text-align:right;">
-297.442
+9.171535e+04
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 Leaffreshmass_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-0.138
+0.907
 </td>
 <td style="text-align:right;">
-0.002
+2.377000e+00
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafLength_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-48.438
+63.229
 </td>
 <td style="text-align:right;">
-123.220
+6.673616e+03
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafN_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-21.376
+36.449
 </td>
 <td style="text-align:right;">
-5.401
+1.239280e+02
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafNperArea_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-1.588
+1.532
 </td>
 <td style="text-align:right;">
-0.116
+1.660000e-01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafP_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-1.810
+2.557
 </td>
 <td style="text-align:right;">
-0.022
+1.340000e+00
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafThickness_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-0.179
+0.281
 </td>
 <td style="text-align:right;">
-0.003
+9.000000e-03
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafWaterCont_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-2.983
+6.415
 </td>
 <td style="text-align:right;">
-0.563
+3.361000e+00
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 LeafWidth_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-1.789
+2.472
 </td>
 <td style="text-align:right;">
-0.608
+1.144000e+01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 PlantHeight_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-4.703
+0.395
 </td>
 <td style="text-align:right;">
-3.057
+4.800000e-02
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 RootingDepth_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-0.509
+0.523
 </td>
 <td style="text-align:right;">
-0.061
+1.030000e-01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 SeedGerminationRate_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-80.750
+94.334
 </td>
 <td style="text-align:right;">
-138.314
+2.722900e+01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 Seed.length_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-1.832
+1.811
 </td>
 <td style="text-align:right;">
-0.847
+2.170000e-01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 SeedMass_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-1.114
+1.213
 </td>
 <td style="text-align:right;">
-8.135
+8.220000e-01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 Seed.num.rep.unit_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-4744.166
+5626.976
 </td>
 <td style="text-align:right;">
-12554159.898
+1.077128e+08
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 SLA_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-14.573
+25.715
 </td>
 <td style="text-align:right;">
-9.654
+3.934200e+01
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 SpecificRootLength_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-3013.360
+12045.855
 </td>
 <td style="text-align:right;">
-2673995.849
+1.508776e+08
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 Stem.cond.dens_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-174.147
+84.019
 </td>
 <td style="text-align:right;">
-2100.541
+9.019500e+02
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 StemConduitDiameter_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-43.061
+49.704
 </td>
 <td style="text-align:right;">
-235.841
+5.853650e+02
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 StemDens_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-0.505
+0.407
 </td>
 <td style="text-align:right;">
-0.006
+1.400000e-02
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 StemDiam_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-0.293
+0.012
 </td>
 <td style="text-align:right;">
-0.034
+0.000000e+00
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 WoodFiberLength_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-680.083
+815.225
 </td>
 <td style="text-align:right;">
-2680.235
+2.777286e+04
 </td>
 </tr>
 <tr>
 <td style="text-align:right;">
-1812243
+1668105
 </td>
 <td style="text-align:left;">
 Wood.vessel.length_mean
 </td>
 <td style="text-align:right;">
-19
+20
 </td>
 <td style="text-align:right;">
-0.789
+0.600
 </td>
 <td style="text-align:right;">
-0.982
+0.290
 </td>
 <td style="text-align:right;">
-443.884
+449.217
 </td>
 <td style="text-align:right;">
-3804.891
+2.443246e+04
 </td>
 </tr>
 </tbody>
@@ -11274,7 +10791,7 @@ sd
 prop.sp.with.trait
 </td>
 <td style="text-align:right;">
-12153
+12093
 </td>
 <td style="text-align:right;">
 0
@@ -11286,7 +10803,7 @@ prop.sp.with.trait
 0.895
 </td>
 <td style="text-align:right;">
-0.976
+0.975
 </td>
 <td style="text-align:right;">
 1
@@ -11303,13 +10820,13 @@ prop.sp.with.trait
 trait.coverage
 </td>
 <td style="text-align:right;">
-14465
+12339
 </td>
 <td style="text-align:right;">
 0
 </td>
 <td style="text-align:right;">
-0.780
+0.782
 </td>
 <td style="text-align:right;">
 0.948
@@ -11321,10 +10838,10 @@ trait.coverage
 1
 </td>
 <td style="text-align:right;">
-0.842
+0.843
 </td>
 <td style="text-align:right;">
-0.226
+0.225
 </td>
 </tr>
 </tbody>
@@ -11509,22 +11026,22 @@ CWM
 0.001
 </td>
 <td style="text-align:right;">
-507.129
+507.128
 </td>
 <td style="text-align:right;">
-1050.050
+1050.045
 </td>
 <td style="text-align:right;">
-2.172636e+03
+2.172641e+03
 </td>
 <td style="text-align:right;">
 2.896005e+08
 </td>
 <td style="text-align:right;">
-3.226197e+03
+3.226204e+03
 </td>
 <td style="text-align:right;">
-4.104026e+05
+4.104034e+05
 </td>
 </tr>
 <tr>
@@ -11538,22 +11055,22 @@ CWM
 0.007
 </td>
 <td style="text-align:right;">
-483.762
+483.761
 </td>
 <td style="text-align:right;">
-1047.625
+1047.616
 </td>
 <td style="text-align:right;">
-2.246030e+03
+2.246039e+03
 </td>
 <td style="text-align:right;">
 1.714323e+08
 </td>
 <td style="text-align:right;">
-3.726639e+05
+3.726654e+05
 </td>
 <td style="text-align:right;">
-3.751084e+06
+3.751092e+06
 </td>
 </tr>
 <tr>
@@ -11567,22 +11084,22 @@ CWM
 0.001
 </td>
 <td style="text-align:right;">
-544.712
+544.710
 </td>
 <td style="text-align:right;">
-1187.907
+1187.908
 </td>
 <td style="text-align:right;">
-2.191171e+03
+2.191178e+03
 </td>
 <td style="text-align:right;">
 2.239247e+07
 </td>
 <td style="text-align:right;">
-2.033596e+03
+2.033599e+03
 </td>
 <td style="text-align:right;">
-2.517515e+04
+2.517520e+04
 </td>
 </tr>
 <tr>
@@ -11695,7 +11212,7 @@ CWM
 1.013838e+05
 </td>
 <td style="text-align:right;">
-1.141790e+02
+1.141800e+02
 </td>
 <td style="text-align:right;">
 3.650770e+02
@@ -11747,7 +11264,7 @@ CWM
 74.735
 </td>
 <td style="text-align:right;">
-1.025800e+02
+1.025790e+02
 </td>
 <td style="text-align:right;">
 6.731693e+04
@@ -11843,7 +11360,7 @@ CWM
 1.198250e+02
 </td>
 <td style="text-align:right;">
-1.329472e+03
+1.329475e+03
 </td>
 </tr>
 <tr>
@@ -12046,7 +11563,7 @@ CWM
 1.521500e+01
 </td>
 <td style="text-align:right;">
-2.169080e+02
+2.169090e+02
 </td>
 </tr>
 <tr>
@@ -12072,10 +11589,10 @@ CWM
 3.486900e+06
 </td>
 <td style="text-align:right;">
-6.139530e+02
+6.139560e+02
 </td>
 <td style="text-align:right;">
-1.817469e+04
+1.817473e+04
 </td>
 </tr>
 <tr>
@@ -12089,22 +11606,22 @@ CWM
 0.000
 </td>
 <td style="text-align:right;">
-1048.176
+1048.206
 </td>
 <td style="text-align:right;">
-3666.780
+3666.800
 </td>
 <td style="text-align:right;">
-1.535367e+04
+1.535384e+04
 </td>
 <td style="text-align:right;">
 1.747089e+21
 </td>
 <td style="text-align:right;">
-7.757933e+15
+7.757966e+15
 </td>
 <td style="text-align:right;">
-2.941775e+18
+2.941781e+18
 </td>
 </tr>
 <tr>
@@ -12147,22 +11664,22 @@ CWM
 0.000
 </td>
 <td style="text-align:right;">
-4402.671
+4402.639
 </td>
 <td style="text-align:right;">
-7311.149
+7311.159
 </td>
 <td style="text-align:right;">
-1.206094e+04
+1.206101e+04
 </td>
 <td style="text-align:right;">
 3.071495e+09
 </td>
 <td style="text-align:right;">
-4.833799e+06
+4.833819e+06
 </td>
 <td style="text-align:right;">
-6.390279e+07
+6.390292e+07
 </td>
 </tr>
 <tr>
@@ -12191,7 +11708,7 @@ CWM
 2.509100e+02
 </td>
 <td style="text-align:right;">
-8.898355e+03
+8.898374e+03
 </td>
 </tr>
 <tr>
@@ -12217,10 +11734,10 @@ CWM
 1.664311e+07
 </td>
 <td style="text-align:right;">
-9.358500e+01
+9.358600e+01
 </td>
 <td style="text-align:right;">
-2.039292e+04
+2.039296e+04
 </td>
 </tr>
 <tr>
@@ -12292,10 +11809,10 @@ CWM
 116.018
 </td>
 <td style="text-align:right;">
-721.172
+721.171
 </td>
 <td style="text-align:right;">
-810.433
+810.432
 </td>
 <td style="text-align:right;">
 9.265990e+02
@@ -12304,10 +11821,10 @@ CWM
 2.204640e+06
 </td>
 <td style="text-align:right;">
-1.344704e+03
+1.344705e+03
 </td>
 <td style="text-align:right;">
-1.068620e+04
+1.068622e+04
 </td>
 </tr>
 <tr>
@@ -12321,22 +11838,22 @@ CWM
 31.679
 </td>
 <td style="text-align:right;">
-366.971
+366.970
 </td>
 <td style="text-align:right;">
 430.588
 </td>
 <td style="text-align:right;">
-5.216400e+02
+5.216390e+02
 </td>
 <td style="text-align:right;">
 4.298853e+05
 </td>
 <td style="text-align:right;">
-4.660700e+02
+4.660690e+02
 </td>
 <td style="text-align:right;">
-5.613640e+02
+5.613650e+02
 </td>
 </tr>
 <tr>
@@ -12382,7 +11899,7 @@ CWV
 67.635
 </td>
 <td style="text-align:right;">
-146.115
+146.116
 </td>
 <td style="text-align:right;">
 3.293860e+02
@@ -12391,10 +11908,10 @@ CWV
 1.451823e+07
 </td>
 <td style="text-align:right;">
-4.478910e+02
+4.478920e+02
 </td>
 <td style="text-align:right;">
-2.884217e+04
+2.884220e+04
 </td>
 </tr>
 <tr>
@@ -12420,10 +11937,10 @@ CWV
 3.227013e+06
 </td>
 <td style="text-align:right;">
-1.993778e+04
+1.993783e+04
 </td>
 <td style="text-align:right;">
-1.687256e+05
+1.687258e+05
 </td>
 </tr>
 <tr>
@@ -12466,22 +11983,22 @@ CWV
 0.000
 </td>
 <td style="text-align:right;">
-293015.667
+293016.033
 </td>
 <td style="text-align:right;">
-1450730.566
+1450747.887
 </td>
 <td style="text-align:right;">
-5.990615e+06
+5.990616e+06
 </td>
 <td style="text-align:right;">
 3.653300e+16
 </td>
 <td style="text-align:right;">
-2.210796e+11
+2.210802e+11
 </td>
 <td style="text-align:right;">
-7.911348e+13
+7.911358e+13
 </td>
 </tr>
 <tr>
@@ -12495,22 +12012,22 @@ CWV
 0.000
 </td>
 <td style="text-align:right;">
-273271.206
+273271.973
 </td>
 <td style="text-align:right;">
-1254786.343
+1254799.386
 </td>
 <td style="text-align:right;">
-6.694266e+06
+6.694363e+06
 </td>
 <td style="text-align:right;">
 7.347254e+15
 </td>
 <td style="text-align:right;">
-5.016001e+13
+5.016013e+13
 </td>
 <td style="text-align:right;">
-4.280153e+14
+4.280158e+14
 </td>
 </tr>
 <tr>
@@ -12524,22 +12041,22 @@ CWV
 0.000
 </td>
 <td style="text-align:right;">
-404274.008
+404276.456
 </td>
 <td style="text-align:right;">
-1201009.405
+1201028.080
 </td>
 <td style="text-align:right;">
-4.885570e+06
+4.885587e+06
 </td>
 <td style="text-align:right;">
 1.809148e+15
 </td>
 <td style="text-align:right;">
-1.479687e+10
+1.479690e+10
 </td>
 <td style="text-align:right;">
-3.237818e+12
+3.237822e+12
 </td>
 </tr>
 <tr>
@@ -12565,10 +12082,10 @@ CWV
 6.171788e+05
 </td>
 <td style="text-align:right;">
-4.188350e+02
+4.188360e+02
 </td>
 <td style="text-align:right;">
-4.284321e+03
+4.284326e+03
 </td>
 </tr>
 <tr>
@@ -12582,22 +12099,22 @@ CWV
 0.000
 </td>
 <td style="text-align:right;">
-173.719
+173.720
 </td>
 <td style="text-align:right;">
-338.389
+338.390
 </td>
 <td style="text-align:right;">
-5.940400e+02
+5.940410e+02
 </td>
 <td style="text-align:right;">
 1.057395e+05
 </td>
 <td style="text-align:right;">
-6.283850e+02
+6.283870e+02
 </td>
 <td style="text-align:right;">
-2.957771e+03
+2.957775e+03
 </td>
 </tr>
 <tr>
@@ -12617,7 +12134,7 @@ CWV
 2.964
 </td>
 <td style="text-align:right;">
-4.794000e+00
+4.795000e+00
 </td>
 <td style="text-align:right;">
 6.184630e+02
@@ -12640,22 +12157,22 @@ CWV
 0.000
 </td>
 <td style="text-align:right;">
-1063.567
+1063.574
 </td>
 <td style="text-align:right;">
-5482.848
+5482.871
 </td>
 <td style="text-align:right;">
-2.761995e+04
+2.761999e+04
 </td>
 <td style="text-align:right;">
 7.538101e+09
 </td>
 <td style="text-align:right;">
-3.614544e+05
+3.614553e+05
 </td>
 <td style="text-align:right;">
-3.418852e+07
+3.418856e+07
 </td>
 </tr>
 <tr>
@@ -12701,19 +12218,19 @@ CWV
 987.260
 </td>
 <td style="text-align:right;">
-2310.388
+2310.379
 </td>
 <td style="text-align:right;">
-5.021992e+03
+5.021975e+03
 </td>
 <td style="text-align:right;">
 1.874145e+10
 </td>
 <td style="text-align:right;">
-2.481698e+05
+2.481704e+05
 </td>
 <td style="text-align:right;">
-2.770738e+07
+2.770741e+07
 </td>
 </tr>
 <tr>
@@ -12797,10 +12314,10 @@ CWV
 1.021494e+09
 </td>
 <td style="text-align:right;">
-4.016335e+06
+4.016345e+06
 </td>
 <td style="text-align:right;">
-4.197853e+07
+4.197858e+07
 </td>
 </tr>
 <tr>
@@ -12858,7 +12375,7 @@ CWV
 3.115000e+02
 </td>
 <td style="text-align:right;">
-2.596554e+03
+2.596558e+03
 </td>
 </tr>
 <tr>
@@ -12884,10 +12401,10 @@ CWV
 3.023911e+08
 </td>
 <td style="text-align:right;">
-1.310860e+05
+1.310863e+05
 </td>
 <td style="text-align:right;">
-3.412976e+06
+3.412980e+06
 </td>
 </tr>
 <tr>
@@ -12913,7 +12430,7 @@ CWV
 8.370440e+02
 </td>
 <td style="text-align:right;">
-2.190000e+01
+2.190100e+01
 </td>
 <td style="text-align:right;">
 4.601400e+01
@@ -12942,10 +12459,10 @@ CWV
 1.871033e+10
 </td>
 <td style="text-align:right;">
-1.273134e+04
+1.273138e+04
 </td>
 <td style="text-align:right;">
-1.455312e+07
+1.455314e+07
 </td>
 </tr>
 <tr>
@@ -12971,7 +12488,7 @@ CWV
 7.015952e+03
 </td>
 <td style="text-align:right;">
-8.142900e+01
+8.142800e+01
 </td>
 <td style="text-align:right;">
 1.357510e+02
@@ -13000,10 +12517,10 @@ CWV
 2.966463e+07
 </td>
 <td style="text-align:right;">
-6.939615e+04
+6.939632e+04
 </td>
 <td style="text-align:right;">
-1.200800e+06
+1.200802e+06
 </td>
 </tr>
 <tr>
@@ -13023,16 +12540,16 @@ CWV
 8.150
 </td>
 <td style="text-align:right;">
-1.076864e+03
+1.076868e+03
 </td>
 <td style="text-align:right;">
 2.901391e+13
 </td>
 <td style="text-align:right;">
-2.281825e+09
+2.281830e+09
 </td>
 <td style="text-align:right;">
-6.879021e+10
+6.879029e+10
 </td>
 </tr>
 <tr>
@@ -13046,10 +12563,10 @@ CWV
 0.000
 </td>
 <td style="text-align:right;">
-3535043.315
+3535124.986
 </td>
 <td style="text-align:right;">
-68066414.372
+68066597.072
 </td>
 <td style="text-align:right;">
 1.268117e+09
@@ -13058,10 +12575,10 @@ CWV
 5.087198e+42
 </td>
 <td style="text-align:right;">
-2.752668e+37
+2.752675e+37
 </td>
 <td style="text-align:right;">
-9.727433e+39
+9.727445e+39
 </td>
 </tr>
 <tr>
@@ -13087,10 +12604,10 @@ CWV
 7.533142e+06
 </td>
 <td style="text-align:right;">
-5.391560e+04
+5.391573e+04
 </td>
 <td style="text-align:right;">
-4.390777e+05
+4.390782e+05
 </td>
 </tr>
 <tr>
@@ -13104,22 +12621,22 @@ CWV
 0.000
 </td>
 <td style="text-align:right;">
-10764758.164
+10764853.760
 </td>
 <td style="text-align:right;">
-34930547.576
+34930690.443
 </td>
 <td style="text-align:right;">
-7.815094e+07
+7.815134e+07
 </td>
 <td style="text-align:right;">
 2.358521e+18
 </td>
 <td style="text-align:right;">
-6.700197e+15
+6.700213e+15
 </td>
 <td style="text-align:right;">
-9.603623e+16
+9.603635e+16
 </td>
 </tr>
 <tr>
@@ -13133,10 +12650,10 @@ CWV
 0.000
 </td>
 <td style="text-align:right;">
-1822.666
+1822.672
 </td>
 <td style="text-align:right;">
-4341.535
+4341.569
 </td>
 <td style="text-align:right;">
 1.031477e+04
@@ -13145,10 +12662,10 @@ CWV
 3.534652e+13
 </td>
 <td style="text-align:right;">
-1.494370e+09
+1.494373e+09
 </td>
 <td style="text-align:right;">
-8.989725e+10
+8.989736e+10
 </td>
 </tr>
 <tr>
@@ -13162,22 +12679,22 @@ CWV
 0.000
 </td>
 <td style="text-align:right;">
-216.543
+216.546
 </td>
 <td style="text-align:right;">
 492.647
 </td>
 <td style="text-align:right;">
-1.049426e+03
+1.049428e+03
 </td>
 <td style="text-align:right;">
 1.065354e+15
 </td>
 <td style="text-align:right;">
-2.249810e+09
+2.249815e+09
 </td>
 <td style="text-align:right;">
-1.361695e+12
+1.361697e+12
 </td>
 </tr>
 <tr>
@@ -13249,22 +12766,22 @@ CWV
 0.000
 </td>
 <td style="text-align:right;">
-27192.902
+27192.997
 </td>
 <td style="text-align:right;">
-50141.402
+50141.675
 </td>
 <td style="text-align:right;">
-8.514083e+04
+8.514111e+04
 </td>
 <td style="text-align:right;">
 1.868337e+13
 </td>
 <td style="text-align:right;">
-1.962241e+08
+1.962246e+08
 </td>
 <td style="text-align:right;">
-2.403650e+10
+2.403653e+10
 </td>
 </tr>
 <tr>
@@ -13278,22 +12795,22 @@ CWV
 0.000
 </td>
 <td style="text-align:right;">
-13052.293
+13052.355
 </td>
 <td style="text-align:right;">
-26281.636
+26281.704
 </td>
 <td style="text-align:right;">
-5.234523e+04
+5.234534e+04
 </td>
 <td style="text-align:right;">
 7.096939e+11
 </td>
 <td style="text-align:right;">
-1.573668e+06
+1.573672e+06
 </td>
 <td style="text-align:right;">
-9.069681e+08
+9.069692e+08
 </td>
 </tr>
 </tbody>
@@ -13323,50 +12840,52 @@ There is therefore the need to give at least some indication to the remaining un
 4) Cross-match with species assigned to tree layer in DT table. </p>
 <p><strong>Step 1</strong>: Attach growth form trait information to DT table. Growth form information derives from TRY</p>
 <pre class="r"><code>DT.gf &lt;- DT2 %&gt;% 
-  filter(taxon_group==&quot;Vascular plant&quot;) %&gt;% 
+  filter(Taxon_group==&quot;Vascular plant&quot;) %&gt;% 
   #join with try names, using resolved species names as key
   left_join(try.species.names %&gt;% 
               dplyr::select(Name_short, GrowthForm) %&gt;% 
-              rename(species=Name_short) %&gt;% 
-              distinct(species, .keep_all=T), 
-            by=&quot;species&quot;) %&gt;% 
+              rename(Species=Name_short) %&gt;% 
+              distinct(Species, .keep_all=T), 
+            by=&quot;Species&quot;) %&gt;% 
   left_join(try.species.means %&gt;% 
               dplyr::select(Name_short, PlantHeight_mean) %&gt;% 
-              rename(species=Name_short), 
-            by=&quot;species&quot;)
+              rename(Species=Name_short), 
+            by=&quot;Species&quot;)
 # number of records withouth Growth Form info
 sum(is.na(DT.gf$GrowthForm))</code></pre>
-<pre><code>## [1] 4998815</code></pre>
+<pre><code>## [1] 4998850</code></pre>
 <p><strong>Step 2</strong>: Select most common species without growth-trait information to export and check manually</p>
 <pre class="r"><code>top.gf.nas &lt;- DT.gf %&gt;% 
   filter(is.na(GrowthForm)) %&gt;% 
-  group_by(species) %&gt;% 
+  group_by(Species) %&gt;% 
   summarize(n=n()) %&gt;% 
   arrange(desc(n))</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
 <pre class="r"><code>write_csv(top.gf.nas %&gt;% 
             filter(n&gt;1000), 
   path=&quot;../_derived/Species_missingGF.csv&quot;)</code></pre>
-<p>The first 47567 species account for 56.59% of the missing records. Assign growth forms manually, reimport and coalesce into <code>DT.gf</code></p>
+<p>The first 47569 species account for 56.59% of the missing records. Assign growth forms manually, reimport and coalesce into <code>DT.gf</code></p>
 <pre class="r"><code># Import manually classified species - this info is also reported in Appendix 1
 gf.manual &lt;- read_csv(&quot;../_derived/Species_missingGF_complete.csv&quot;)</code></pre>
-<pre><code>## Parsed with column specification:
+<pre><code>## 
+## ── Column specification ────────────────────────────────────────────────────────
 ## cols(
 ##   species = col_character(),
 ##   GrowthForm = col_character()
 ## )</code></pre>
 <pre class="r"><code>DT.gf &lt;- DT.gf %&gt;% 
   left_join(gf.manual %&gt;% 
-              rename(GrowthForm.m=GrowthForm),
-            by=&quot;species&quot;) %&gt;% 
+              rename(GrowthForm.m=GrowthForm, Species=species),
+            by=&quot;Species&quot;) %&gt;% 
    mutate(GrowthForm=coalesce(GrowthForm, GrowthForm.m)) %&gt;% 
    dplyr::select(-GrowthForm.m)</code></pre>
-<p>After manual completion, the number of records without growth form information decresead to 2332279.<br />
+<p>After manual completion, the number of records without growth form information decresead to 2332314.<br />
 </p>
 <p><strong>Step 3</strong>: Import additional data on growth-form from TRY (Accessed 10 March 2020).<br />
 All public data on growth form downloaded. First take care of unmatched quotation marks in the txt file. Do this from command line.</p>
 <pre class="bash"><code># escape all unmatched quotation marks. Run in Linux terminal
-#sed 's/&quot;/\\&quot;/g' 8854.txt &gt; 8854_test.csv
-#sed &quot;s/'/\\'/g&quot; 8854.txt &gt; 8854_test.csv</code></pre>
+#sed &#39;s/&quot;/\\&quot;/g&#39; 8854.txt &gt; 8854_test.csv
+#sed &quot;s/&#39;/\\&#39;/g&quot; 8854.txt &gt; 8854_test.csv</code></pre>
 <p>Information on growth form is not organized and has a myriad of levels. Extract and simplify to the set of few types used so far. In case a species is attributed to multiple growth forms use a majority vote.</p>
 <pre class="r"><code>all.gf0 &lt;- read_delim(&quot;../_input/TRY5.0_v1.1/8854_test.txt&quot;, delim=&quot;\t&quot;) 
 
@@ -13375,7 +12894,7 @@ all.gf &lt;- all.gf0 %&gt;%
   distinct(AccSpeciesName, OrigValueStr) %&gt;% 
   rename(GrowthForm0=OrigValueStr) %&gt;% 
   mutate(GrowthForm0=tolower(GrowthForm0)) %&gt;%
-  filter(AccSpeciesName %in% sPlot.species$species) %&gt;% 
+  filter(AccSpeciesName %in% sPlot.species$Species) %&gt;% 
   mutate(GrowthForm_simplified= GrowthForm0) %&gt;% 
   mutate(GrowthForm_simplified=replace(GrowthForm_simplified, 
                                        list=str_detect(GrowthForm0,
@@ -13418,23 +12937,24 @@ table(all.gf$GrowthForm_simplified, exclude=NULL)  </code></pre>
 <pre class="r"><code>#coalesce this info into DT.gf
 DT.gf &lt;- DT.gf %&gt;% 
   left_join(all.gf %&gt;% 
-              rename(species=AccSpeciesName), 
-            by=&quot;species&quot;) %&gt;% 
+              rename(Species=AccSpeciesName), 
+            by=&quot;Species&quot;) %&gt;% 
   mutate(GrowthForm=coalesce(GrowthForm, GrowthForm_simplified)) %&gt;% 
   dplyr::select(-GrowthForm_simplified)</code></pre>
 <p><strong>Step 4</strong>: Cross-match. Assign all species occurring in at least one relevé in the tree layer as tree. Conservatively, do this only when the record is at species level (exclude records at genus\family level)</p>
 <pre class="r"><code>other.trees &lt;- DT.gf %&gt;% 
   filter(Layer==1 &amp; is.na(GrowthForm)) %&gt;% 
   filter(Rank_correct==&quot;species&quot;) %&gt;% 
-  distinct(species, Layer, GrowthForm) %&gt;% 
-  pull(species)
+  distinct(Species, Layer, GrowthForm) %&gt;% 
+  pull(Species)
 
 DT.gf &lt;- DT.gf %&gt;% 
   mutate(GrowthForm=replace(GrowthForm, 
-                            list=species %in% other.trees, 
+                            list=Species %in% other.trees, 
                             values=&quot;tree&quot;))</code></pre>
-<p>After cross-matching, the number of records without growth form information decresead to 1264978.<br />
+<p>After cross-matching, the number of records without growth form information decresead to 1264966.<br />
 </p>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
 <table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
 <caption>
 Average height per growth form
@@ -13536,7 +13056,10 @@ NA
 Define a species as <code>is.tree.or.tall.shrub</code> when it is either defined as tree, OR has a height &gt;10<br />
 Define a species as <code>is.not.tree.or.shrub.and.small</code> when it has a height &lt;10, as long as it’s not defined a tree. When height is not available, it is sufficient that the species is classified as “herb” or “other”.</p>
 <pre class="r"><code>GF &lt;- DT.gf %&gt;% 
-  distinct(species, GrowthForm, PlantHeight_mean) %&gt;% 
+  distinct(Species, GrowthForm, PlantHeight_mean) %&gt;% 
+  mutate(GrowthForm=fct_collapse(GrowthForm, 
+                                 &quot;herb/shrub&quot;=c(&quot;herb\\shrub&quot;,&quot;herb/shrub&quot;), 
+                                 &quot;shrub/tree&quot;=c(&quot;shrub/tree&quot;, &quot;shrub\\tree&quot;))) %&gt;% 
   ## define is.tree.or.tall
   mutate(is.tree.or.tall.shrub=NA) %&gt;% 
   mutate(is.tree.or.tall.shrub=replace(is.tree.or.tall.shrub, 
@@ -13568,22 +13091,20 @@ Define a species as <code>is.not.tree.or.shrub.and.small</code> when it has a he
 table(GF$GrowthForm, GF$is.tree.or.tall.shrub, exclude=NULL)</code></pre>
 <pre><code>##                  
 ##                   FALSE  TRUE  &lt;NA&gt;
-##   herb            22429     2     0
-##   herb/shrub         39     1     0
-##   herb\\shrub         8     0     0
+##   herb            22430     2     0
+##   herb/shrub         47     1     0
 ##   herb/shrub/tree     0     2     0
 ##   other            1646    42     0
 ##   shrub            5410    93  2323
-##   shrub/tree          0   105     0
-##   shrub\\tree         0    28     0
+##   shrub/tree          0   133     0
 ##   tree                0 13458     0
-##   &lt;NA&gt;              818    50 26690</code></pre>
+##   &lt;NA&gt;              818    50 26691</code></pre>
 <pre class="r"><code>## Check for herb species classified as trees
 GF %&gt;% 
   filter(is.tree.or.tall.shrub &amp; GrowthForm==&quot;herb&quot;)</code></pre>
 <pre><code>## # A tibble: 2 x 4
-##   species                   GrowthForm PlantHeight_mean is.tree.or.tall.shrub
-##   &lt;chr&gt;                     &lt;chr&gt;                 &lt;dbl&gt; &lt;lgl&gt;                
+##   Species                   GrowthForm PlantHeight_mean is.tree.or.tall.shrub
+##   &lt;chr&gt;                     &lt;fct&gt;                 &lt;dbl&gt; &lt;lgl&gt;                
 ## 1 Phyllostachys bambusoides herb                   16.6 TRUE                 
 ## 2 Bambusa vulgaris          herb                   14.2 TRUE</code></pre>
 <p>These are Bamboo species and their hiehgts seems reasonable.</p>
@@ -13613,7 +13134,7 @@ Reimport header file</p>
 table(plot.vegtype1 %&gt;% dplyr::select(is.forest), exclude=NULL)</code></pre>
 <pre><code>## 
 ##   FALSE    TRUE    &lt;NA&gt; 
-##   26211  191834 1760641</code></pre>
+##   26211  191834 1760634</code></pre>
 <p><strong>Criterium 2</strong></p>
 <pre class="r"><code># Select only plots having cover data in percentage
 mysel &lt;- (DT.gf %&gt;% 
@@ -13621,35 +13142,37 @@ mysel &lt;- (DT.gf %&gt;%
             group_by(PlotObservationID) %&gt;% 
             summarize(AllCovPer=all(Ab_scale==&quot;CoverPerc&quot;)) %&gt;% 
             filter(AllCovPer==T) %&gt;% 
-            pull(PlotObservationID))
-# Excludedd plots
+            pull(PlotObservationID))</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
+<pre class="r"><code># Excludedd plots
 nrow(header)-length(mysel)</code></pre>
-<pre><code>## [1] 294879</code></pre>
+<pre><code>## [1] 294880</code></pre>
 <pre class="r"><code>plot.vegtype2 &lt;- DT.gf %&gt;% 
   filter(PlotObservationID %in% mysel ) %&gt;% 
   filter(Layer %in% c(1,2,3)) %&gt;% 
   # first sum the cover of all species in a layer
   group_by(PlotObservationID, Layer) %&gt;% 
-  summarize(cover_perc=sum(cover_perc)) %&gt;% 
+  summarize(Cover_perc=sum(Abundance)) %&gt;% 
   # then combine cover across layers
   group_by(PlotObservationID) %&gt;% 
-  summarize(cover_perc=combine.cover(cover_perc)) %&gt;% 
-  mutate(is.forest=cover_perc&gt;=25) 
-
-table(plot.vegtype1 %&gt;% dplyr::select(is.forest), exclude=NULL)</code></pre>
+  summarize(Cover_perc=combine.cover(Cover_perc)) %&gt;% 
+  mutate(is.forest=Cover_perc&gt;=25) </code></pre>
+<pre><code>## `summarise()` regrouping output by &#39;PlotObservationID&#39; (override with `.groups` argument)
+## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
+<pre class="r"><code>table(plot.vegtype1 %&gt;% dplyr::select(is.forest), exclude=NULL)</code></pre>
 <pre><code>## 
 ##   FALSE    TRUE    &lt;NA&gt; 
-##   26211  191834 1760641</code></pre>
+##   26211  191834 1760634</code></pre>
 <p><strong>Criterium 3</strong></p>
 <pre class="r"><code>plot.vegtype3 &lt;- DT.gf %&gt;% 
   #filter plots where all records are recorded as percentage cover
   filter(PlotObservationID %in% mysel ) %&gt;% 
   # combine cover across layers
-  group_by(PlotObservationID, species) %&gt;%
-  summarize(cover_perc=combine.cover(cover_perc)) %&gt;%
+  group_by(PlotObservationID, Species) %&gt;%
+  summarize(cover_perc=combine.cover(Abundance)) %&gt;%
   ungroup() %&gt;% 
   # attach species Growth Form information
-  left_join(GF, by=&quot;species&quot;)%&gt;% 
+  left_join(GF, by=&quot;Species&quot;)%&gt;% 
   group_by(PlotObservationID) %&gt;% 
   summarize(cover_tree=sum(cover_perc*is.tree.or.tall.shrub, na.rm=T), 
             cover_non_tree=sum(cover_perc*(!is.tree.or.tall.shrub), na.rm=T), 
@@ -13658,21 +13181,22 @@ table(plot.vegtype1 %&gt;% dplyr::select(is.forest), exclude=NULL)</code></pre>
   ## classify plots based on cover of different growth forms
   mutate(tot.cover=sum(cover_tree, cover_non_tree, cover_unknown, na.rm=T)) %&gt;% 
   mutate(is.forest=cover_tree&gt;=25) %&gt;% 
-  mutate(is.non.forest=cover_tree&lt;25 &amp; (cover_non_tree/tot.cover)&gt;.75)
-
-table(plot.vegtype3 %&gt;% dplyr::select(is.forest, is.non.forest), exclude=NULL)</code></pre>
+  mutate(is.non.forest=cover_tree&lt;25 &amp; (cover_non_tree/tot.cover)&gt;.75)</code></pre>
+<pre><code>## `summarise()` regrouping output by &#39;PlotObservationID&#39; (override with `.groups` argument)</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
+<pre class="r"><code>table(plot.vegtype3 %&gt;% dplyr::select(is.forest, is.non.forest), exclude=NULL)</code></pre>
 <pre><code>##          is.non.forest
 ## is.forest   FALSE    TRUE    &lt;NA&gt;
-##     FALSE   72115 1137090      10
+##     FALSE   72105 1137092      10
 ##     TRUE   474592       0       0</code></pre>
 <p><strong>Criterium 4</strong></p>
 <pre class="r"><code>plot.vegtype4 &lt;-  DT.gf %&gt;% 
   filter(Ab_scale==&quot;x_BA&quot;) %&gt;% 
   group_by(PlotObservationID) %&gt;% 
   summarize(tot.ba=sum(Abundance)) %&gt;% 
-  mutate(is.forest=tot.ba&gt;10)
-
-table(plot.vegtype4 %&gt;% dplyr::select(is.forest), exclude=NULL)</code></pre>
+  mutate(is.forest=tot.ba&gt;10)</code></pre>
+<pre><code>## `summarise()` ungrouping output (override with `.groups` argument)</code></pre>
+<pre class="r"><code>table(plot.vegtype4 %&gt;% dplyr::select(is.forest), exclude=NULL)</code></pre>
 <pre><code>## 
 ## FALSE  TRUE 
 ##  1358  5558</code></pre>
@@ -13709,9 +13233,9 @@ table(plot.vegtype4 %&gt;% dplyr::select(is.forest), exclude=NULL)</code></pre>
 table(plot.vegtype %&gt;% dplyr::select(is.forest, is.non.forest), exclude=NULL)</code></pre>
 <pre><code>##          is.non.forest
 ## is.forest   FALSE    TRUE    &lt;NA&gt;
-##     FALSE       0 1161496       7
+##     FALSE       0 1161498       7
 ##     TRUE   468261       0       0
-##     &lt;NA&gt;        0       0  348922</code></pre>
+##     &lt;NA&gt;        0       0  348913</code></pre>
 </div>
 <div id="cross-check-and-validate" class="section level2">
 <h2>3.3 Cross-check and validate</h2>
@@ -13767,10 +13291,10 @@ Forest
 Other
 </td>
 <td style="text-align:right;">
-28027
+28020
 </td>
 <td style="text-align:right;">
-974204
+974213
 </td>
 </tr>
 </tbody>
@@ -13795,7 +13319,7 @@ x
 Sensitivity
 </td>
 <td style="text-align:right;">
-0.9315478
+0.9315637
 </td>
 </tr>
 <tr>
@@ -13803,7 +13327,7 @@ Sensitivity
 Specificity
 </td>
 <td style="text-align:right;">
-0.9744067
+0.9744069
 </td>
 </tr>
 <tr>
@@ -13819,7 +13343,7 @@ Pos Pred Value
 Neg Pred Value
 </td>
 <td style="text-align:right;">
-0.9720354
+0.9720424
 </td>
 </tr>
 <tr>
@@ -13835,7 +13359,7 @@ Precision
 Recall
 </td>
 <td style="text-align:right;">
-0.9315478
+0.9315637
 </td>
 </tr>
 <tr>
@@ -13843,7 +13367,7 @@ Recall
 F1
 </td>
 <td style="text-align:right;">
-0.9343307
+0.9343387
 </td>
 </tr>
 <tr>
@@ -13851,7 +13375,7 @@ F1
 Prevalence
 </td>
 <td style="text-align:right;">
-0.2905407
+0.2905353
 </td>
 </tr>
 <tr>
@@ -13859,7 +13383,7 @@ Prevalence
 Detection Rate
 </td>
 <td style="text-align:right;">
-0.2706526
+0.2706522
 </td>
 </tr>
 <tr>
@@ -13867,7 +13391,7 @@ Detection Rate
 Detection Prevalence
 </td>
 <td style="text-align:right;">
-0.2888100
+0.2888096
 </td>
 </tr>
 <tr>
@@ -13875,28 +13399,28 @@ Detection Prevalence
 Balanced Accuracy
 </td>
 <td style="text-align:right;">
-0.9529772
+0.9529853
 </td>
 </tr>
 </tbody>
 </table>
 <pre><code>## [1] TRUE</code></pre>
-<p>Through the process described above, we managed to classify 1629757, of which 468261 is forest and 1161496 is non-forest.<br />
- The total number of plots with attribution to forest\non-forest (either coming from sPlot’s native classification, or from the process above) is: 1727553.</p>
+<p>Through the process described above, we managed to classify 1629759, of which 468261 is forest and 1161498 is non-forest.<br />
+ The total number of plots with attribution to forest\non-forest (either coming from sPlot’s native classification, or from the process above) is: 1727546.</p>
 </div>
 </div>
 <div id="export-and-update-other-objects" class="section level1">
 <h1>4 Export and update other objects</h1>
 <pre class="r"><code>sPlot.traits &lt;- sPlot.species %&gt;% 
-  arrange(species) %&gt;% 
+  arrange(Species) %&gt;% 
   left_join(GF %&gt;% 
-              dplyr::select(species, GrowthForm, is.tree.or.tall.shrub), 
-            by=&quot;species&quot;) %&gt;% 
+              dplyr::select(Species, GrowthForm, is.tree.or.tall.shrub), 
+            by=&quot;Species&quot;) %&gt;% 
   left_join(try.combined.means %&gt;% 
-              rename(species=Taxon_name), by=&quot;species&quot;) %&gt;% 
+              rename(Species=Taxon_name), by=&quot;Species&quot;) %&gt;% 
   dplyr::select(-Rank_correct)
   
-save(try.combined.means, CWM, sPlot.traits, file=&quot;../_output/Traits_CWMs_sPlot3.RData&quot;)
+save(try.combined.means, CWM, sPlot.traits, trait.legend, file=&quot;../_output/Traits_CWMs_sPlot3.RData&quot;)
 
 header &lt;- header %&gt;% 
   left_join(plot.vegtype %&gt;% 
@@ -13911,7 +13435,7 @@ save(header, file=&quot;../_output/header_sPlot3.0.RData&quot;)</code></pre>
 <div id="appendix-1---growth-forms-of-most-common-species" class="section level2">
 <h2>Appendix 1 - Growth forms of most common species</h2>
 <p>As assigned manually.</p>
-<pre class="r"><code>cat(readLines(&quot;../_derived/Species_missingGF_complete.csv&quot;), sep = '\n')</code></pre>
+<pre class="r"><code>cat(readLines(&quot;../_derived/Species_missingGF_complete.csv&quot;), sep = &#39;\n&#39;)</code></pre>
 <pre><code>species,GrowthForm
 Taraxacum,herb
 Quercus robur,tree
@@ -14589,7 +14113,7 @@ Sonchus,NA</code></pre>
 <pre class="r"><code>sessionInfo()</code></pre>
 <pre><code>## R version 3.6.3 (2020-02-29)
 ## Platform: x86_64-pc-linux-gnu (64-bit)
-## Running under: Ubuntu 16.04.6 LTS
+## Running under: Ubuntu 16.04.7 LTS
 ## 
 ## Matrix products: default
 ## BLAS:   /usr/lib/openblas-base/libblas.so.3
@@ -14607,37 +14131,37 @@ Sonchus,NA</code></pre>
 ## [1] stats     graphics  grDevices utils     datasets  methods   base     
 ## 
 ## other attached packages:
-##  [1] viridis_0.5.1     viridisLite_0.3.0 caret_6.0-84      lattice_0.20-40  
-##  [5] kableExtra_1.1.0  knitr_1.28        data.table_1.12.8 forcats_0.5.0    
-##  [9] stringr_1.4.0     dplyr_0.8.5       purrr_0.3.3       readr_1.3.1      
-## [13] tidyr_1.0.2       tibble_2.1.3      ggplot2_3.3.0     tidyverse_1.3.0  
+##  [1] viridis_0.5.1     viridisLite_0.3.0 caret_6.0-84      lattice_0.20-41  
+##  [5] kableExtra_1.3.1  knitr_1.30        data.table_1.13.2 forcats_0.5.0    
+##  [9] stringr_1.4.0     dplyr_1.0.2       purrr_0.3.4       readr_1.4.0      
+## [13] tidyr_1.1.2       tibble_3.0.1      ggplot2_3.3.0     tidyverse_1.3.0  
 ## 
 ## loaded via a namespace (and not attached):
-##  [1] httr_1.4.1           jsonlite_1.6.1       splines_3.6.3       
-##  [4] foreach_1.4.8        prodlim_2019.11.13   modelr_0.1.6        
+##  [1] httr_1.4.2           jsonlite_1.7.1       splines_3.6.3       
+##  [4] foreach_1.5.1        prodlim_2019.11.13   modelr_0.1.6        
 ##  [7] assertthat_0.2.1     highr_0.8            stats4_3.6.3        
 ## [10] cellranger_1.1.0     yaml_2.2.1           ipred_0.9-9         
-## [13] pillar_1.4.2         backports_1.1.5      glue_1.3.1          
-## [16] digest_0.6.23        rvest_0.3.5          colorspace_1.4-1    
-## [19] recipes_0.1.9        htmltools_0.4.0      Matrix_1.2-18       
+## [13] pillar_1.4.3         backports_1.2.0      glue_1.4.2          
+## [16] digest_0.6.25        rvest_0.3.6          colorspace_2.0-0    
+## [19] recipes_0.1.15       htmltools_0.5.0      Matrix_1.2-18       
 ## [22] plyr_1.8.6           timeDate_3043.102    pkgconfig_2.0.3     
-## [25] broom_0.5.5          haven_2.2.0          scales_1.1.0        
-## [28] webshot_0.5.2        gower_0.2.1          lava_1.6.6          
-## [31] generics_0.0.2       ellipsis_0.3.0       withr_2.1.2         
-## [34] nnet_7.3-13          cli_2.0.2            survival_3.1-11     
-## [37] magrittr_1.5         crayon_1.3.4         readxl_1.3.1        
-## [40] evaluate_0.14        fs_1.3.2             fansi_0.4.1         
-## [43] nlme_3.1-145         MASS_7.3-51.5        xml2_1.2.2          
-## [46] class_7.3-15         tools_3.6.3          hms_0.5.3           
+## [25] broom_0.7.0          haven_2.3.1          scales_1.1.1        
+## [28] webshot_0.5.2        gower_0.2.2          lava_1.6.8.1        
+## [31] generics_0.1.0       ellipsis_0.3.1       withr_2.3.0         
+## [34] nnet_7.3-14          cli_2.2.0            survival_3.2-7      
+## [37] magrittr_2.0.1       crayon_1.3.4         readxl_1.3.1        
+## [40] evaluate_0.14        fs_1.5.0             fansi_0.4.1         
+## [43] nlme_3.1-150         MASS_7.3-53          xml2_1.3.2          
+## [46] class_7.3-17         tools_3.6.3          hms_0.5.3           
 ## [49] lifecycle_0.2.0      munsell_0.5.0        reprex_0.3.0        
-## [52] e1071_1.7-3          compiler_3.6.3       rlang_0.4.4         
-## [55] grid_3.6.3           iterators_1.0.12     rstudioapi_0.11     
-## [58] rmarkdown_2.1        gtable_0.3.0         ModelMetrics_1.2.2.1
-## [61] codetools_0.2-16     DBI_1.1.0            reshape2_1.4.3      
-## [64] R6_2.4.1             gridExtra_2.3        lubridate_1.7.4     
-## [67] utf8_1.1.4           stringi_1.4.6        Rcpp_1.0.3          
-## [70] vctrs_0.2.3          rpart_4.1-15         dbplyr_1.4.2        
-## [73] tidyselect_1.0.0     xfun_0.12</code></pre>
+## [52] e1071_1.7-4          compiler_3.6.3       rlang_0.4.9         
+## [55] grid_3.6.3           iterators_1.0.13     rstudioapi_0.13     
+## [58] rmarkdown_2.5        gtable_0.3.0         ModelMetrics_1.2.2.2
+## [61] codetools_0.2-18     DBI_1.1.0            reshape2_1.4.4      
+## [64] R6_2.5.0             gridExtra_2.3        lubridate_1.7.9.2   
+## [67] utf8_1.1.4           stringi_1.5.3        Rcpp_1.0.5          
+## [70] vctrs_0.3.5          rpart_4.1-15         dbplyr_2.0.0        
+## [73] tidyselect_1.1.0     xfun_0.19</code></pre>
 </div>
 </div>
 
@@ -14650,7 +14174,7 @@ Sonchus,NA</code></pre>
 
 // add bootstrap table styles to pandoc tables
 function bootstrapStylePandocTables() {
-  $('tr.header').parent('thead').parent('table').addClass('table table-condensed');
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
 }
 $(document).ready(function () {
   bootstrapStylePandocTables();
diff --git a/public/08_Documentation.html b/public/08_Documentation.html
new file mode 100644
index 0000000000000000000000000000000000000000..a03171c01b755e80b01b8147d174d579c721c122
--- /dev/null
+++ b/public/08_Documentation.html
@@ -0,0 +1,14692 @@
+<!DOCTYPE html>
+
+<html>
+
+<head>
+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+
+<meta name="author" content="Francesco Maria Sabatini" />
+
+<meta name="date" content="2020-11-30" />
+
+<title>sPlot 3 - Documentation</title>
+
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) 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+};
+</script>
+<script>
+
+/**
+ * jQuery Plugin: Sticky Tabs
+ *
+ * @author Aidan Lister <aidan@php.net>
+ * adapted by Ruben Arslan to activate parent tabs too
+ * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
+ */
+(function($) {
+  "use strict";
+  $.fn.rmarkdownStickyTabs = function() {
+    var context = this;
+    // Show the tab corresponding with the hash in the URL, or the first tab
+    var showStuffFromHash = function() {
+      var hash = window.location.hash;
+      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
+      var $selector = $(selector, context);
+      if($selector.data('toggle') === "tab") {
+        $selector.tab('show');
+        // walk up the ancestors of this element, show any hidden tabs
+        $selector.parents('.section.tabset').each(function(i, elm) {
+          var link = $('a[href="#' + $(elm).attr('id') + '"]');
+          if(link.data('toggle') === "tab") {
+            link.tab("show");
+          }
+        });
+      }
+    };
+
+
+    // Set the correct tab when the page loads
+    showStuffFromHash(context);
+
+    // Set the correct tab when a user uses their back/forward button
+    $(window).on('hashchange', function() {
+      showStuffFromHash(context);
+    });
+
+    // Change the URL when tabs are clicked
+    $('a', context).on('click', function(e) {
+      history.pushState(null, null, this.href);
+      showStuffFromHash(context);
+    });
+
+    return this;
+  };
+}(jQuery));
+
+window.buildTabsets = function(tocID) {
+
+  // build a tabset from a section div with the .tabset class
+  function buildTabset(tabset) {
+
+    // check for fade and pills options
+    var fade = tabset.hasClass("tabset-fade");
+    var pills = tabset.hasClass("tabset-pills");
+    var navClass = pills ? "nav-pills" : "nav-tabs";
+
+    // determine the heading level of the tabset and tabs
+    var match = tabset.attr('class').match(/level(\d) /);
+    if (match === null)
+      return;
+    var tabsetLevel = Number(match[1]);
+    var tabLevel = tabsetLevel + 1;
+
+    // find all subheadings immediately below
+    var tabs = tabset.find("div.section.level" + tabLevel);
+    if (!tabs.length)
+      return;
+
+    // create tablist and tab-content elements
+    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
+    $(tabs[0]).before(tabList);
+    var tabContent = $('<div class="tab-content"></div>');
+    $(tabs[0]).before(tabContent);
+
+    // build the tabset
+    var activeTab = 0;
+    tabs.each(function(i) {
+
+      // get the tab div
+      var tab = $(tabs[i]);
+
+      // get the id then sanitize it for use with bootstrap tabs
+      var id = tab.attr('id');
+
+      // see if this is marked as the active tab
+      if (tab.hasClass('active'))
+        activeTab = i;
+
+      // remove any table of contents entries associated with
+      // this ID (since we'll be removing the heading element)
+      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();
+
+      // sanitize the id for use with bootstrap tabs
+      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
+      tab.attr('id', id);
+
+      // get the heading element within it, grab it's text, then remove it
+      var heading = tab.find('h' + tabLevel + ':first');
+      var headingText = heading.html();
+      heading.remove();
+
+      // build and append the tab list item
+      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
+      a.attr('href', '#' + id);
+      a.attr('aria-controls', id);
+      var li = $('<li role="presentation"></li>');
+      li.append(a);
+      tabList.append(li);
+
+      // set it's attributes
+      tab.attr('role', 'tabpanel');
+      tab.addClass('tab-pane');
+      tab.addClass('tabbed-pane');
+      if (fade)
+        tab.addClass('fade');
+
+      // move it into the tab content div
+      tab.detach().appendTo(tabContent);
+    });
+
+    // set active tab
+    $(tabList.children('li')[activeTab]).addClass('active');
+    var active = $(tabContent.children('div.section')[activeTab]);
+    active.addClass('active');
+    if (fade)
+      active.addClass('in');
+
+    if (tabset.hasClass("tabset-sticky"))
+      tabset.rmarkdownStickyTabs();
+  }
+
+  // convert section divs with the .tabset class to tabsets
+  var tabsets = $("div.section.tabset");
+  tabsets.each(function(i) {
+    buildTabset($(tabsets[i]));
+  });
+};
+
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+<div class="fluid-row" id="header">
+
+
+
+<h1 class="title toc-ignore">sPlot 3 - Documentation</h1>
+<h4 class="author">Francesco Maria Sabatini</h4>
+<h4 class="date">11/30/2020</h4>
+
+</div>
+
+<div id="TOC">
+<ul>
+<li><a href="#taxonomic-backbone"><span class="toc-section-number">1</span> Taxonomic Backbone</a><ul>
+<li><a href="#show-output"><span class="toc-section-number">1.1</span> Show output</a></li>
+<li><a href="#description-of-fields"><span class="toc-section-number">1.2</span> Description of fields</a></li>
+</ul></li>
+<li><a href="#header"><span class="toc-section-number">2</span> Header</a><ul>
+<li><a href="#show-output-1"><span class="toc-section-number">2.1</span> Show output</a></li>
+<li><a href="#description-of-fields-1"><span class="toc-section-number">2.2</span> Description of fields</a></li>
+</ul></li>
+<li><a href="#dt-table"><span class="toc-section-number">3</span> DT Table</a><ul>
+<li><a href="#show-output-2"><span class="toc-section-number">3.1</span> Show output</a></li>
+<li><a href="#description-of-fields-2"><span class="toc-section-number">3.2</span> Description of fields</a></li>
+</ul></li>
+<li><a href="#functional-traits-and-community-weighted-meansvariances"><span class="toc-section-number">4</span> Functional Traits and Community Weighted Means\Variances</a><ul>
+<li><a href="#show-output-3"><span class="toc-section-number">4.1</span> Show output</a></li>
+<li><a href="#description-of-fields-3"><span class="toc-section-number">4.2</span> Description of fields</a></li>
+</ul></li>
+<li><a href="#environmental-variables"><span class="toc-section-number">5</span> Environmental variables</a><ul>
+<li><a href="#show-output-4"><span class="toc-section-number">5.1</span> Show output</a></li>
+<li><a href="#description-of-fields-4"><span class="toc-section-number">5.2</span> Description of fields</a></li>
+</ul></li>
+<li><a href="#sessioninfo"><span class="toc-section-number">6</span> SessionInfo</a></li>
+</ul>
+</div>
+
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" title="sPlot Logo" />
+</center>
+<p><strong>Timestamp:</strong> Mon Nov 30 13:39:58 2020<br />
+<strong>Drafted:</strong> Francesco Maria Sabatini<br />
+<strong>Revised:</strong><br />
+<strong>version:</strong> 1.0</p>
+<p>This reports describes and provides a basic summary of the objects composing the working version of sPlot 3.0.</p>
+<pre class="r"><code>library(tidyverse)
+library(knitr)
+library(kableExtra)</code></pre>
+<div id="taxonomic-backbone" class="section level1">
+<h1><span class="header-section-number">1</span> Taxonomic Backbone</h1>
+<p>The taxonomic backbone is a resolved list of species names from either sPlot or TRY, which allows to:<br />
+1) Match functional traits to species in sPlot, based on a common nomenclature.<br />
+2) Resolve synonyms and correct spelling mistakes in species names, so to allow matching species across the datasets constituting sPlot.<br />
+The construction of the Backbone is documented at <a href="https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/03_TaxonomicBackbone.html" class="uri">https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/03_TaxonomicBackbone.html</a> (download needed)</p>
+<pre class="r"><code>load(&quot;../_output/Backbone3.0.RData&quot;)</code></pre>
+<div id="show-output" class="section level2">
+<h2><span class="header-section-number">1.1</span> Show output</h2>
+<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
+<caption>
+Example of Backbone (only 20 randomly selected taxa shown)
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+Name_sPlot_TRY
+</th>
+<th style="text-align:left;">
+Name_string_corr1
+</th>
+<th style="text-align:left;">
+Name_string_corr2
+</th>
+<th style="text-align:left;">
+sPlot_TRY
+</th>
+<th style="text-align:left;">
+Name_submitted
+</th>
+<th style="text-align:right;">
+Name_number
+</th>
+<th style="text-align:right;">
+Overall_score
+</th>
+<th style="text-align:left;">
+Name_matched
+</th>
+<th style="text-align:left;">
+Name_matched_rank
+</th>
+<th style="text-align:right;">
+Name_score
+</th>
+<th style="text-align:left;">
+Name_matched_author
+</th>
+<th style="text-align:left;">
+Name_matched_url
+</th>
+<th style="text-align:left;">
+Author_matched
+</th>
+<th style="text-align:right;">
+Author_score
+</th>
+<th style="text-align:left;">
+Family_matched
+</th>
+<th style="text-align:right;">
+Family_score
+</th>
+<th style="text-align:left;">
+Name_matched_accepted_family
+</th>
+<th style="text-align:left;">
+Genus_matched
+</th>
+<th style="text-align:right;">
+Genus_score
+</th>
+<th style="text-align:left;">
+Specific_epithet_matched
+</th>
+<th style="text-align:right;">
+Specific_epithet_score
+</th>
+<th style="text-align:left;">
+Infraspecific_rank
+</th>
+<th style="text-align:left;">
+Infraspecific_epithet_matched
+</th>
+<th style="text-align:right;">
+Infraspecific_epithet_score
+</th>
+<th style="text-align:left;">
+Infraspecific_rank_2
+</th>
+<th style="text-align:left;">
+Infraspecific_epithet_2_matched
+</th>
+<th style="text-align:right;">
+Infraspecific_epithet_2_score
+</th>
+<th style="text-align:left;">
+Annotations
+</th>
+<th style="text-align:left;">
+Unmatched_terms
+</th>
+<th style="text-align:left;">
+Taxonomic_status
+</th>
+<th style="text-align:left;">
+Accepted_name
+</th>
+<th style="text-align:left;">
+Accepted_name_author
+</th>
+<th style="text-align:left;">
+Accepted_name_rank
+</th>
+<th style="text-align:left;">
+Accepted_name_url
+</th>
+<th style="text-align:left;">
+Accepted_name_species
+</th>
+<th style="text-align:left;">
+Accepted_name_family
+</th>
+<th style="text-align:left;">
+Selected
+</th>
+<th style="text-align:left;">
+Source
+</th>
+<th style="text-align:left;">
+Warnings
+</th>
+<th style="text-align:left;">
+Accepted_name_lsid
+</th>
+<th style="text-align:left;">
+Status_correct
+</th>
+<th style="text-align:left;">
+Name_correct
+</th>
+<th style="text-align:left;">
+Genus_correct
+</th>
+<th style="text-align:left;">
+Rank_correct
+</th>
+<th style="text-align:left;">
+Family_correct
+</th>
+<th style="text-align:left;">
+Name_short
+</th>
+<th style="text-align:left;">
+phylum
+</th>
+<th style="text-align:left;">
+is_vascular_species
+</th>
+<th style="text-align:left;">
+Taxon group
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Chusquea nobilis
+</td>
+<td style="text-align:left;">
+Chusquea nobilis
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+T
+</td>
+<td style="text-align:left;">
+Chusquea nobilis
+</td>
+<td style="text-align:right;">
+69697
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Chusquea nobilis
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+(Munro) L.G.Clark
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-462686" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-462686</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Poaceae
+</td>
+<td style="text-align:left;">
+Chusquea
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+nobilis
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Chusquea nobilis
+</td>
+<td style="text-align:left;">
+(Munro) L.G.Clark
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-462686" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-462686</a>
+</td>
+<td style="text-align:left;">
+Chusquea nobilis
+</td>
+<td style="text-align:left;">
+Poaceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tpl
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Chusquea nobilis
+</td>
+<td style="text-align:left;">
+Chusquea
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Poaceae
+</td>
+<td style="text-align:left;">
+Chusquea nobilis
+</td>
+<td style="text-align:left;">
+Tracheophyta
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Spiradiclis cylindrica
+</td>
+<td style="text-align:left;">
+Spiradiclis cylindrica
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+T
+</td>
+<td style="text-align:left;">
+Spiradiclis cylindrica
+</td>
+<td style="text-align:right;">
+295068
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Spiradiclis cylindrica
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Wall. ex Hook.f.
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-194144" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-194144</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Rubiaceae
+</td>
+<td style="text-align:left;">
+Spiradiclis
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+cylindrica
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Spiradiclis cylindrica
+</td>
+<td style="text-align:left;">
+Wall. ex Hook.f.
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-194144" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-194144</a>
+</td>
+<td style="text-align:left;">
+Spiradiclis cylindrica
+</td>
+<td style="text-align:left;">
+Rubiaceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tpl
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Spiradiclis cylindrica
+</td>
+<td style="text-align:left;">
+Spiradiclis
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Rubiaceae
+</td>
+<td style="text-align:left;">
+Spiradiclis cylindrica
+</td>
+<td style="text-align:left;">
+Tracheophyta
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Euphorbia neogillettii
+</td>
+<td style="text-align:left;">
+Euphorbia neogillettii
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+T
+</td>
+<td style="text-align:left;">
+Euphorbia neogillettii
+</td>
+<td style="text-align:right;">
+125794
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Euphorbia neogillettii
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Bruyns
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-344111" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-344111</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Euphorbiaceae
+</td>
+<td style="text-align:left;">
+Euphorbia
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+neogillettii
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Euphorbia neogillettii
+</td>
+<td style="text-align:left;">
+Bruyns
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-344111" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-344111</a>
+</td>
+<td style="text-align:left;">
+Euphorbia neogillettii
+</td>
+<td style="text-align:left;">
+Euphorbiaceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tpl
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Euphorbia neogillettii
+</td>
+<td style="text-align:left;">
+Euphorbia
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Euphorbiaceae
+</td>
+<td style="text-align:left;">
+Euphorbia neogillettii
+</td>
+<td style="text-align:left;">
+Tracheophyta
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Salsola minkvitziae
+</td>
+<td style="text-align:left;">
+Salsola minkvitziae
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+T
+</td>
+<td style="text-align:left;">
+Salsola minkvitziae
+</td>
+<td style="text-align:right;">
+274467
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Salsola minkvitziae
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Korovin
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2481258;http://www.tropicos.org/Name/100366776" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2481258;http://www.tropicos.org/Name/100366776</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Amaranthaceae
+</td>
+<td style="text-align:left;">
+Salsola
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+minkvitziae
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+No opinion
+</td>
+<td style="text-align:left;">
+Climacoptera minkvitziae
+</td>
+<td style="text-align:left;">
+(Korovin) Botsch.
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2727875;http://www.theplantlist.org/tpl1.1/record/kew-2727875" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2727875;http://www.theplantlist.org/tpl1.1/record/kew-2727875</a>
+</td>
+<td style="text-align:left;">
+Climacoptera minkvitziae
+</td>
+<td style="text-align:left;">
+Amaranthaceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tpl;tropicos
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Other
+</td>
+<td style="text-align:left;">
+Climacoptera minkvitziae
+</td>
+<td style="text-align:left;">
+Climacoptera
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Amaranthaceae
+</td>
+<td style="text-align:left;">
+Climacoptera minkvitziae
+</td>
+<td style="text-align:left;">
+Tracheophyta
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Eritrichium echinocaryum
+</td>
+<td style="text-align:left;">
+Eritrichium echinocaryum
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+T
+</td>
+<td style="text-align:left;">
+Eritrichium echinocaryum
+</td>
+<td style="text-align:right;">
+119421
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Eritrichium echinocaryum
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+(I.M.Johnst.) Y.S.Lian &amp; J.Q.Wang
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2797735" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2797735</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Boraginaceae
+</td>
+<td style="text-align:left;">
+Eritrichium
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+echinocaryum
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Eritrichium echinocaryum
+</td>
+<td style="text-align:left;">
+(I.M.Johnst.) Y.S.Lian &amp; J.Q.Wang
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2797735" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2797735</a>
+</td>
+<td style="text-align:left;">
+Eritrichium echinocaryum
+</td>
+<td style="text-align:left;">
+Boraginaceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tpl
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Eritrichium echinocaryum
+</td>
+<td style="text-align:left;">
+Eritrichium
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Boraginaceae
+</td>
+<td style="text-align:left;">
+Eritrichium echinocaryum
+</td>
+<td style="text-align:left;">
+Tracheophyta
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Centrolepis banksii
+</td>
+<td style="text-align:left;">
+Centrolepis banksii
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+T
+</td>
+<td style="text-align:left;">
+Centrolepis banksii
+</td>
+<td style="text-align:right;">
+63376
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Centrolepis banksii
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+(R.Br.) Roem. &amp; Schult.
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-232580" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-232580</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Centrolepidaceae
+</td>
+<td style="text-align:left;">
+Centrolepis
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+banksii
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Centrolepis banksii
+</td>
+<td style="text-align:left;">
+(R.Br.) Roem. &amp; Schult.
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-232580" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-232580</a>
+</td>
+<td style="text-align:left;">
+Centrolepis banksii
+</td>
+<td style="text-align:left;">
+Centrolepidaceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tpl
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Centrolepis banksii
+</td>
+<td style="text-align:left;">
+Centrolepis
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Centrolepidaceae
+</td>
+<td style="text-align:left;">
+Centrolepis banksii
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Lophanthus chinensis
+</td>
+<td style="text-align:left;">
+Lophanthus chinensis
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+ST
+</td>
+<td style="text-align:left;">
+Lophanthus chinensis
+</td>
+<td style="text-align:right;">
+184941
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Lophanthus chinensis
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Benth.
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-115110;http://www.tropicos.org/Name/17604016" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-115110;http://www.tropicos.org/Name/17604016</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Lamiaceae
+</td>
+<td style="text-align:left;">
+Lophanthus
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+chinensis
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Lophanthus chinensis
+</td>
+<td style="text-align:left;">
+Benth.
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-115110;http://www.tropicos.org/Name/17604016" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-115110;http://www.tropicos.org/Name/17604016</a>
+</td>
+<td style="text-align:left;">
+Lophanthus chinensis
+</td>
+<td style="text-align:left;">
+Lamiaceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tpl;tropicos
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Lophanthus chinensis
+</td>
+<td style="text-align:left;">
+Lophanthus
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Lamiaceae
+</td>
+<td style="text-align:left;">
+Lophanthus chinensis
+</td>
+<td style="text-align:left;">
+Tracheophyta
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Cinnamomum pedatinervium
+</td>
+<td style="text-align:left;">
+Cinnamomum pedatinervium
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+T
+</td>
+<td style="text-align:left;">
+Cinnamomum pedatinervium
+</td>
+<td style="text-align:right;">
+70347
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Cinnamomum pedatinervium
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Meisn.
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2721519" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2721519</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Lauraceae
+</td>
+<td style="text-align:left;">
+Cinnamomum
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+pedatinervium
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Cinnamomum pedatinervium
+</td>
+<td style="text-align:left;">
+Meisn.
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2721519" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2721519</a>
+</td>
+<td style="text-align:left;">
+Cinnamomum pedatinervium
+</td>
+<td style="text-align:left;">
+Lauraceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tpl
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Cinnamomum pedatinervium
+</td>
+<td style="text-align:left;">
+Cinnamomum
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Lauraceae
+</td>
+<td style="text-align:left;">
+Cinnamomum pedatinervium
+</td>
+<td style="text-align:left;">
+Tracheophyta
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Gethyllis ciliaris
+</td>
+<td style="text-align:left;">
+Gethyllis ciliaris
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+T
+</td>
+<td style="text-align:left;">
+Gethyllis ciliaris
+</td>
+<td style="text-align:right;">
+139216
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Gethyllis ciliaris
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+(Thunb.) Thunb.
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-307906;http://www.tropicos.org/Name/100197552" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-307906;http://www.tropicos.org/Name/100197552</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Amaryllidaceae
+</td>
+<td style="text-align:left;">
+Gethyllis
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+ciliaris
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Gethyllis ciliaris
+</td>
+<td style="text-align:left;">
+(Thunb.) Thunb.
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-307906;http://www.tropicos.org/Name/100197552" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-307906;http://www.tropicos.org/Name/100197552</a>
+</td>
+<td style="text-align:left;">
+Gethyllis ciliaris
+</td>
+<td style="text-align:left;">
+Amaryllidaceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tpl;tropicos
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Gethyllis ciliaris
+</td>
+<td style="text-align:left;">
+Gethyllis
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Amaryllidaceae
+</td>
+<td style="text-align:left;">
+Gethyllis ciliaris
+</td>
+<td style="text-align:left;">
+Tracheophyta
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Anginon difforme
+</td>
+<td style="text-align:left;">
+Anginon difforme
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+ST
+</td>
+<td style="text-align:left;">
+Anginon difforme
+</td>
+<td style="text-align:right;">
+18686
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Anginon difforme
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+(L.) B.L.Burtt
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2639389" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2639389</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Apiaceae
+</td>
+<td style="text-align:left;">
+Anginon
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+difforme
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Anginon difforme
+</td>
+<td style="text-align:left;">
+(L.) B.L.Burtt
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2639389" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2639389</a>
+</td>
+<td style="text-align:left;">
+Anginon difforme
+</td>
+<td style="text-align:left;">
+Apiaceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tpl
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Anginon difforme
+</td>
+<td style="text-align:left;">
+Anginon
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Apiaceae
+</td>
+<td style="text-align:left;">
+Anginon difforme
+</td>
+<td style="text-align:left;">
+Tracheophyta
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Gentiana affinis
+</td>
+<td style="text-align:left;">
+Gentiana affinis
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+ST
+</td>
+<td style="text-align:left;">
+Gentiana affinis
+</td>
+<td style="text-align:right;">
+137719
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Gentiana affinis
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Griseb.
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2819836;http://www.tropicos.org/Name/13801007;http://plants.usda.gov/java/profile?symbol=GEAF" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2819836;http://www.tropicos.org/Name/13801007;http://plants.usda.gov/java/profile?symbol=GEAF</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Gentianaceae
+</td>
+<td style="text-align:left;">
+Gentiana
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+affinis
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Gentiana affinis
+</td>
+<td style="text-align:left;">
+Griseb.
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/kew-2819836;http://www.tropicos.org/Name/13801007;http://plants.usda.gov/java/profile?symbol=GEAF" class="uri">http://www.theplantlist.org/tpl1.1/record/kew-2819836;http://www.tropicos.org/Name/13801007;http://plants.usda.gov/java/profile?symbol=GEAF</a>
+</td>
+<td style="text-align:left;">
+Gentiana affinis
+</td>
+<td style="text-align:left;">
+Gentianaceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tpl;tropicos;usda
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Gentiana affinis
+</td>
+<td style="text-align:left;">
+Gentiana
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Gentianaceae
+</td>
+<td style="text-align:left;">
+Gentiana affinis
+</td>
+<td style="text-align:left;">
+Tracheophyta
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Macrolobium 1
+</td>
+<td style="text-align:left;">
+Macrolobium
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+S
+</td>
+<td style="text-align:left;">
+Macrolobium
+</td>
+<td style="text-align:right;">
+189274
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Macrolobium
+</td>
+<td style="text-align:left;">
+genus
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+<a href="http://www.ildis.org/LegumeWeb?version~10.01&amp;genus~Macrolobium" class="uri">http://www.ildis.org/LegumeWeb?version~10.01&amp;genus~Macrolobium</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Fabaceae
+</td>
+<td style="text-align:left;">
+Macrolobium
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+No opinion
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+genus
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/search?q=Macrolobium" class="uri">http://www.theplantlist.org/tpl1.1/search?q=Macrolobium</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Fabaceae
+</td>
+<td style="text-align:left;">
+FALSE
+</td>
+<td style="text-align:left;">
+ildis
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Other
+</td>
+<td style="text-align:left;">
+Macrolobium
+</td>
+<td style="text-align:left;">
+Macrolobium
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+genus
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+TRUE
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+Vascular plant
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+Woodfordia
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+genus
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+<a href="http://www.theplantlist.org/tpl1.1/search?q=Woodfordia" class="uri">http://www.theplantlist.org/tpl1.1/search?q=Woodfordia</a>
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+NA
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+293219
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+(Hance) Hedl.
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+1
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+210472
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+NA
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+261333
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+<a href="http://www.tropicos.org/Name/50246453" class="uri">http://www.tropicos.org/Name/50246453</a>
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+NA
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+1
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+(Pedley) Pedley
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+<a href="http://www.tropicos.org/Name/50246453" class="uri">http://www.tropicos.org/Name/50246453</a>
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+Racosperma aneurum
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+Racosperma
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+Racosperma aneurum
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+TRUE
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+Periballia minuta
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+231948
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+(L.) Asch. &amp; Graebn.
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+(L.) Asch. &amp; Graebn.
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+</td>
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+Periballia minuta
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+Poaceae
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+TRUE
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+NA
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+297253
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+</td>
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+TRUE
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+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Verbesina glabrata
+</td>
+<td style="text-align:left;">
+Verbesina glabrata
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+T
+</td>
+<td style="text-align:left;">
+Verbesina glabrata
+</td>
+<td style="text-align:right;">
+323534
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Verbesina glabrata
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Hook. &amp; Arn.
+</td>
+<td style="text-align:left;">
+<a href="http://www.tropicos.org/Name/2717925" class="uri">http://www.tropicos.org/Name/2717925</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Asteraceae
+</td>
+<td style="text-align:left;">
+Verbesina
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+glabrata
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Verbesina glabrata
+</td>
+<td style="text-align:left;">
+Hook. &amp; Arn.
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.tropicos.org/Name/2717925" class="uri">http://www.tropicos.org/Name/2717925</a>
+</td>
+<td style="text-align:left;">
+Verbesina glabrata
+</td>
+<td style="text-align:left;">
+Asteraceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tropicos
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Verbesina glabrata
+</td>
+<td style="text-align:left;">
+Verbesina
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Compositae
+</td>
+<td style="text-align:left;">
+Verbesina glabrata
+</td>
+<td style="text-align:left;">
+Tracheophyta
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Telitoxicum minutiflorum
+</td>
+<td style="text-align:left;">
+Telitoxicum minutiflorum
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+ST
+</td>
+<td style="text-align:left;">
+Telitoxicum minutiflorum
+</td>
+<td style="text-align:right;">
+307598
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Telitoxicum minutiflorum
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+(Diels) Moldenke
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/tro-20600371;http://www.tropicos.org/Name/20600371" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-20600371;http://www.tropicos.org/Name/20600371</a>
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Menispermaceae
+</td>
+<td style="text-align:left;">
+Telitoxicum
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+minutiflorum
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Telitoxicum minutiflorum
+</td>
+<td style="text-align:left;">
+(Diels) Moldenke
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+<a href="http://www.theplantlist.org/tpl1.1/record/tro-20600371;http://www.tropicos.org/Name/20600371" class="uri">http://www.theplantlist.org/tpl1.1/record/tro-20600371;http://www.tropicos.org/Name/20600371</a>
+</td>
+<td style="text-align:left;">
+Telitoxicum minutiflorum
+</td>
+<td style="text-align:left;">
+Menispermaceae
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+tpl;tropicos
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Accepted
+</td>
+<td style="text-align:left;">
+Telitoxicum minutiflorum
+</td>
+<td style="text-align:left;">
+Telitoxicum
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Menispermaceae
+</td>
+<td style="text-align:left;">
+Telitoxicum minutiflorum
+</td>
+<td style="text-align:left;">
+Tracheophyta
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+</tr>
+</tbody>
+</table>
+<p>The Backbone contains 346392 taxon names. Of these, 43715 derive from sPlot.</p>
+</div>
+<div id="description-of-fields" class="section level2">
+<h2><span class="header-section-number">1.2</span> Description of fields</h2>
+<p>The bulk of the taxonomic standardization was done using <a href="http://tnrs.iplantcollaborative.org/index.html">TNRS</a> or <a href="http://www.theplantlist.org/">TPL</a>, accessed using the package <a href="https://cran.r-project.org/web/packages/Taxonstand/index.html">taxonstand</a>. Below, the list of fields comprised in the Backbone output.<br />
+<br> 1. <code>Name_sPlot_TRY</code>: Taxon names, as derived from the Turboveg version of the original datasets.<br />
+2. <code>Name_string_corr1</code>: Taxon name after a first round of manual cleaning (e.g., some types, abbreviations).<br />
+3. <code>Name_string_corr2</code>: Taxon name after a second round of manual cleaning.<br />
+4. <code>sPlot_TRY</code>: Origin of the taxon name (S = sPlot, T = TRY, A = Alpine dataset, see Testolin et al. 2020).<br />
+<br> <strong>The fields below derive from the output of <a href="http://tnrs.iplantcollaborative.org/index.html">TNRS</a> (or TPL)</strong> - See <a href="http://tnrs.iplantcollaborative.org/instructions.html">here</a> for additional information.<br />
+5. <code>Name_submitted</code>: Taxon name, as submitted to the services of taxonomic resolution, either TNRS or TPL.<br />
+6. <code>Name_number</code>: Order of submission to TNRS or TPL.<br />
+7. <code>Overall_score</code>: Level of matching in TNRS or TPL (1=perfect match).<br />
+8. <code>Name_matched</code>: Scientific name with the highest match score. May be an exact match or a fuzzy match. This score does not include the author score.<br />
+9. <code>Name_matched_rank</code>: The lowest taxonomic rank for the name matched.<br />
+10. <code>Name_score</code>: Overall score for the name matched based on the TNRS ranking algorithm.<br />
+11. <code>Name_matched_author</code>: Standard authority for the matched name.<br />
+12. <code>Name_matched_url</code>: Web link for the matched name (where applicable).<br />
+13. <code>Author_matched</code>: Standard authority of the name with the highest match score name.<br />
+14. <code>Author_score</code>: Score assigned by the TNRS to indicate the level of similarity to the author submitted (where applicable). This field will be blank if the user did not submit an author with the name.<br />
+15. <code>Family_matched</code>:The closest matching family in the TNRS database to the family submitted. This field will be blank if you did not submit a family, or the family could not be matched.<br />
+16. <code>Family_score</code>: Score assigned by the TNRS to indicate the level of similarity to the family submitted (where applicable).<br />
+17. <code>Name_matched_accepted_family</code>: Family of the accepted name.<br />
+18. <code>Genus_matched</code>: The closest matching genus in the TNRS database to the genus submitted. This field will be blank if the genus submitted could not be matched.<br />
+19. <code>Genus_score</code>: Score assigned by the TNRS to indicate the level of similarity to the genus submitted.<br />
+20. <code>Specific_epithet_matched</code>: The specific epithet of closest matching species in the TNRS database to the species submitted. This field will be blank if the species submitted could not be matched.<br />
+21. <code>Specific_epithet_score</code>: Score assigned by the TNRS to indicate the level of similarity to the species submitted.<br />
+22. <code>Infraspecific_rank</code>: If an infraspecific taxon was submitted (subspecies, variety, etc.), this field provides the standardized rank abbreviation for that taxon (subspecies, variety, etc.).<br />
+23. <code>Infraspecific_epithet_matched</code>: The infraspecific epithet of closet matching subspecies or variety in the TNRS database to the subspecies or variety submitted. This field will be blank if no infraspecific taxon was submitted, or if the subspecies or variety could not be matched.<br />
+24. <code>Infraspecific_epithet_score</code>: Score assigned by the TNRS to indicate the level of similarity to the infraspecific taxon submitted.<br />
+25. <code>Infraspecific_rank_2</code>: If a quadrinomal taxon name was submitted, this field provides the standardized rank abbreviation for that taxon. For example, “Poa annua var. purpurea forma minima” would return “fo.”.<br />
+26. <code>Infraspecific_epithet_2_matched</code>: The final epithet of closest matching quadrinomial infraspecific taxon in the TNRS database to the quadrinomial infraspecific taxon, for example “Poa annua var. purpurea forma minima”. This field will be blank if a quadrinomial was not submitted or if the final epithet could not be matched.<br />
+27. <code>Infraspecific_epithet_2_score</code>: Score assigned by the TNRS to indicate the level of similarity to the lower infraspecific taxon (quadrinomial) submitted. This field will be blank if a quadrinomial was not submitted, or if the final epithet of the quadrinomial could not be matched.<br />
+28. <code>Annotations</code>: Any standardized botanical annotations of uncertainty embedded within the name, such as “cf.” or “aff.”, are removed and stored here.<br />
+29. <code>Unmatched_terms</code>: The complete trailing portion of the name not matched by the TNRS, minus any annotations.<br />
+30. <code>Taxonomic_status</code>: Where the submitted name is <em>Accepted</em>, <em>Synonym</em>, or not know (e.g., <em>No opinion</em>, <em>Invalid</em>, <em>Illegitimate</em>, <em>Misapplied</em>, <em>Unresolved</em>).<br />
+31. <code>Accepted_name</code>: The accepted (correct) scientific name of the name matched by the TNRS, according to the taxonomic source used. If the name matched is an accepted name, or if the TNRS indicated “No opinion” for the name matched, then acceptedName will be the same as Name_matched. If Name_matched is a synonymy, then Accepted_name will be different.<br />
+32. <code>Accepted_name_author</code>: Standard authority of the Accepted_name.<br />
+33. <code>Accepted_name_rank</code>: Taxonomic rank of the accepted Accepted_name.<br />
+34. <code>Accepted_name_url</code>: Web link for the accepted name (where applicable).<br />
+35. <code>Accepted_name_species</code>: The genus+species portion only of the Accepted_name. If the rank of the Accepted_name is species, then Accepted_species will be the same as Accepted_name. If the rank of the Accepted_name is higher than species, for example, if the Accepted_name is a genus, then this field will be blank.<br />
+36. <code>Accepted_name_family</code>: The accepted familial classification of the accepted name for the name matched by the TNRS.<br />
+37. <code>Selected</code>: Denotes the best match according to either taxonomic or maximum score.<br />
+38. <code>Source</code>: Source used for the resolution (for TNRS sources see <a href="http://tnrs.iplantcollaborative.org/sources.html"></a>).<br />
+39. <code>Warnings</code>: If TNRS is unable to uncategorically resolve your submitted name to one best matched name in our database, a red warning flag will appear next to the submitted name.<br />
+40. <code>Accepted_name_lsid</code>: As exported by TNRS.<br />
+<br> <strong>Below columns added specifically for this backbone</strong> - These fields represent the actual output.<br />
+41. <code>Status_correct</code>: Simplification of <code>Taxonomic_status</code>.<br />
+42. <code>Name_correct</code>: If Accepted_name is non-null, otherwise returns <code>Name_matched</code>. This field represent the union of accepted + matched name.<br />
+43. <code>Genus_correct</code>: Genus derived from <code>Name_correct</code>, but only when <code>Accepted_name_rank</code> is lower than family.<br />
+44. <code>Rank_correct</code>: Simplification of <code>Accepted_name_rank</code>.<br />
+45. <code>Family_correct</code>: Family of <code>Name_correct</code>. Complements <code>Accepted_name_family</code> with multiple sources.<br />
+46. <code>Name_short</code>: First two words of <code>Name_correct</code>.<br />
+47. <code>phylum</code>: As derived from <code>The Catalogue of Life</code>.<br />
+48. <code>is_vascular_species</code>: TRUE if the species is a vascular plant. It is derived based on selection of <code>phylum</code> from <code>The Catalogue of Life</code>.<br />
+49. <code>Taxon group</code>: Taxon group, as in Turboveg. Five possible entries. <em>Alga</em>, <em>Lichen</em>, <em>Moss</em>, <em>Vascular plant</em> or <em>Unknown</em>.<br />
+<br><br> The object <code>Backbone3.0.RData</code> also contains two ancillary vectors, which were use to refine the Backbone. These are: <code>lichen.genera</code> - a list of genera for lichen species contained in the Backbone; <code>mushroom</code> - a list of genera for mushroom species spotted in sPlot species list (and excluded); <code>mushroom.families</code> - a list of family names for mushroom spotted in sPlot (and excluded).</p>
+</div>
+</div>
+<div id="header" class="section level1">
+<h1><span class="header-section-number">2</span> Header</h1>
+<p>The <em>header</em> object contains all plot-level information, including source and location. The description of its construction can be found at: <a href="https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/04_buildHeader.html" class="uri">https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/04_buildHeader.html</a> (download needed).<br />
+Import data</p>
+<pre class="r"><code>load(&quot;../_output/header_sPlot3.0.RData&quot;)</code></pre>
+<div id="show-output-1" class="section level2">
+<h2><span class="header-section-number">2.1</span> Show output</h2>
+<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
+<caption>
+Example of header (only 10 randomly selected plots shown)
+</caption>
+<thead>
+<tr>
+<th style="text-align:right;">
+PlotObservationID
+</th>
+<th style="text-align:left;">
+Dataset
+</th>
+<th style="text-align:left;">
+GIVD ID
+</th>
+<th style="text-align:right;">
+TV2 relevé number
+</th>
+<th style="text-align:left;">
+ORIG_NUM
+</th>
+<th style="text-align:left;">
+GUID
+</th>
+<th style="text-align:right;">
+Longitude
+</th>
+<th style="text-align:right;">
+Latitude
+</th>
+<th style="text-align:right;">
+Location uncertainty (m)
+</th>
+<th style="text-align:left;">
+Country
+</th>
+<th style="text-align:left;">
+CONTINENT
+</th>
+<th style="text-align:left;">
+sBiome
+</th>
+<th style="text-align:right;">
+sBiomeID
+</th>
+<th style="text-align:left;">
+Ecoregion
+</th>
+<th style="text-align:right;">
+EcoregionID
+</th>
+<th style="text-align:left;">
+Locality
+</th>
+<th style="text-align:right;">
+Relevé area (m²)
+</th>
+<th style="text-align:left;">
+Cover abundance scale
+</th>
+<th style="text-align:left;">
+Date of recording
+</th>
+<th style="text-align:left;">
+Plants recorded
+</th>
+<th style="text-align:left;">
+Herbs identified (y/n)
+</th>
+<th style="text-align:left;">
+Mosses identified (y/n)
+</th>
+<th style="text-align:left;">
+Lichens identified (y/n)
+</th>
+<th style="text-align:right;">
+elevation_dem
+</th>
+<th style="text-align:right;">
+Altitude (m)
+</th>
+<th style="text-align:right;">
+Aspect (°)
+</th>
+<th style="text-align:right;">
+Slope (°)
+</th>
+<th style="text-align:right;">
+Forest
+</th>
+<th style="text-align:right;">
+Shrubland
+</th>
+<th style="text-align:right;">
+Grassland
+</th>
+<th style="text-align:right;">
+Wetland
+</th>
+<th style="text-align:right;">
+Sparse.vegetation
+</th>
+<th style="text-align:right;">
+Naturalness
+</th>
+<th style="text-align:left;">
+ESY
+</th>
+<th style="text-align:left;">
+is.forest
+</th>
+<th style="text-align:left;">
+is.non.forest
+</th>
+<th style="text-align:right;">
+Cover total (%)
+</th>
+<th style="text-align:right;">
+Cover tree layer (%)
+</th>
+<th style="text-align:right;">
+Cover shrub layer (%)
+</th>
+<th style="text-align:right;">
+Cover herb layer (%)
+</th>
+<th style="text-align:right;">
+Cover moss layer (%)
+</th>
+<th style="text-align:right;">
+Cover lichen layer (%)
+</th>
+<th style="text-align:right;">
+Cover algae layer (%)
+</th>
+<th style="text-align:right;">
+Cover litter layer (%)
+</th>
+<th style="text-align:right;">
+Cover open water (%)
+</th>
+<th style="text-align:right;">
+Cover bare rock (%)
+</th>
+<th style="text-align:right;">
+Height (highest) trees (m)
+</th>
+<th style="text-align:right;">
+Height lowest trees (m)
+</th>
+<th style="text-align:right;">
+Height (highest) shrubs (m)
+</th>
+<th style="text-align:right;">
+Height lowest shrubs (m)
+</th>
+<th style="text-align:right;">
+Aver. height (high) herbs (cm)
+</th>
+<th style="text-align:right;">
+Aver. height lowest herbs (cm)
+</th>
+<th style="text-align:right;">
+Maximum height herbs (cm)
+</th>
+<th style="text-align:right;">
+Maximum height cryptogams (mm)
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right;">
+1369356
+</td>
+<td style="text-align:left;">
+Romania Grassland Database
+</td>
+<td style="text-align:left;">
+EU-RO-008
+</td>
+<td style="text-align:right;">
+42246
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+579259A3-823C-4C77-AABB-B45B1BD8E319
+</td>
+<td style="text-align:right;">
+24.969260
+</td>
+<td style="text-align:right;">
+45.84361
+</td>
+<td style="text-align:right;">
+375000
+</td>
+<td style="text-align:left;">
+Romania
+</td>
+<td style="text-align:left;">
+EU
+</td>
+<td style="text-align:left;">
+Temperate midlatitudes
+</td>
+<td style="text-align:right;">
+6
+</td>
+<td style="text-align:left;">
+Carpathian montane forests
+</td>
+<td style="text-align:right;">
+80504
+</td>
+<td style="text-align:left;">
+Cernica
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+Braun/Blanquet (old)
+</td>
+<td style="text-align:left;">
+1962-01-01
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+N
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+C51a
+</td>
+<td style="text-align:left;">
+FALSE
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
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+<td style="text-align:left;">
+Temperate midlatitudes
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:left;">
+Western European broadleaf forests
+</td>
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+</td>
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+</td>
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+</td>
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+<td style="text-align:left;">
+NA
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+<td style="text-align:left;">
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+<td style="text-align:left;">
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+<td style="text-align:left;">
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+<td style="text-align:left;">
+EU-00-019
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:left;">
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+</td>
+<td style="text-align:left;">
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+</td>
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+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
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+<td style="text-align:left;">
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+</td>
+<td style="text-align:left;">
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+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
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+</td>
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+<td style="text-align:left;">
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+</td>
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+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+1890
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+<td style="text-align:right;">
+45
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+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
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+<td style="text-align:right;">
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+</td>
+<td style="text-align:left;">
+E
+</td>
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+FALSE
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:right;">
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+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
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+</td>
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+</td>
+<td style="text-align:right;">
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+-1000
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+<td style="text-align:right;">
+6
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+Eastern Cascades forests
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+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:left;">
+Percentage (%)
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+<td style="text-align:left;">
+1980-06-01
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
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+</td>
+<td style="text-align:left;">
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+</td>
+<td style="text-align:right;">
+1088
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+<td style="text-align:right;">
+1161
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+<td style="text-align:right;">
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+<td style="text-align:right;">
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+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1731195
+</td>
+<td style="text-align:left;">
+Japan
+</td>
+<td style="text-align:left;">
+AS-JP-002
+</td>
+<td style="text-align:right;">
+1334
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+C0544E55-EAAB-4F60-868D-202112994AD2
+</td>
+<td style="text-align:right;">
+123.809570
+</td>
+<td style="text-align:right;">
+24.39064
+</td>
+<td style="text-align:right;">
+-10
+</td>
+<td style="text-align:left;">
+Japan
+</td>
+<td style="text-align:left;">
+EU
+</td>
+<td style="text-align:left;">
+Tropics with year-round rain
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Montane fynbos and renosterveld
+</td>
+<td style="text-align:right;">
+31203
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+100
+</td>
+<td style="text-align:left;">
+Presence/Absence
+</td>
+<td style="text-align:left;">
+1985-01-01
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+18
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1699826
+</td>
+<td style="text-align:left;">
+BIOTA_Morocco
+</td>
+<td style="text-align:left;">
+AF-MA-001
+</td>
+<td style="text-align:right;">
+675
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+38BCDD9A-7739-4C29-A488-D79F9D108E8C
+</td>
+<td style="text-align:right;">
+-5.620094
+</td>
+<td style="text-align:right;">
+31.95457
+</td>
+<td style="text-align:right;">
+5
+</td>
+<td style="text-align:left;">
+Morocco
+</td>
+<td style="text-align:left;">
+AF
+</td>
+<td style="text-align:left;">
+Dry tropics and subtropics
+</td>
+<td style="text-align:right;">
+3
+</td>
+<td style="text-align:left;">
+Mediterranean High Atlas juniper steppe
+</td>
+<td style="text-align:right;">
+81010
+</td>
+<td style="text-align:left;">
+Oberes Dadestal: Oberes Dadestal, Pass auf Wasserscheide
+</td>
+<td style="text-align:right;">
+100
+</td>
+<td style="text-align:left;">
+Percentage (%)
+</td>
+<td style="text-align:left;">
+2002-07-05
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+Y
+</td>
+<td style="text-align:left;">
+N
+</td>
+<td style="text-align:left;">
+N
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+2815
+</td>
+<td style="text-align:right;">
+65
+</td>
+<td style="text-align:right;">
+5
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+35
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+35
+</td>
+<td style="text-align:right;">
+3
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1880884
+</td>
+<td style="text-align:left;">
+South America Forest
+</td>
+<td style="text-align:left;">
+00-00-001
+</td>
+<td style="text-align:right;">
+704
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+54E907A8-152C-4AA7-B509-07FBCF987A27
+</td>
+<td style="text-align:right;">
+-77.615410
+</td>
+<td style="text-align:right;">
+-1.06971
+</td>
+<td style="text-align:right;">
+10
+</td>
+<td style="text-align:left;">
+Ecuador
+</td>
+<td style="text-align:left;">
+SA
+</td>
+<td style="text-align:left;">
+Tropics with year-round rain
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+Napo moist forests
+</td>
+<td style="text-align:right;">
+60142
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+400
+</td>
+<td style="text-align:left;">
+Presence/Absence
+</td>
+<td style="text-align:left;">
+2010-06-26
+</td>
+<td style="text-align:left;">
+Woody plants &gt;= 10 cm dbh
+</td>
+<td style="text-align:left;">
+N
+</td>
+<td style="text-align:left;">
+N
+</td>
+<td style="text-align:left;">
+N
+</td>
+<td style="text-align:right;">
+426
+</td>
+<td style="text-align:right;">
+452
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+TRUE
+</td>
+<td style="text-align:left;">
+FALSE
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+</tr>
+</tbody>
+</table>
+<p>sPlot 3.0 contains 1978679 Plots.</p>
+</div>
+<div id="description-of-fields-1" class="section level2">
+<h2><span class="header-section-number">2.2</span> Description of fields</h2>
+<ol style="list-style-type: decimal">
+<li><code>PlotObservationID</code>: Identificator provided by Turboveg 3, unique for each plot.<br />
+</li>
+<li><code>Dataset</code>: Name of source dataset.<br />
+</li>
+<li><code>GIVD ID</code>: <a href="https://www.givd.info/">GIVD</a> code of source dataset.<br />
+</li>
+<li><code>TV2 relevé number</code>: Original number in the Turboveg 2 version of the source dataset.<br />
+</li>
+<li><code>ORIG_NUM</code>: Original number of the plot in the source dataset.<br />
+</li>
+<li><code>GUID</code>: GUID identifier, as created in Turboveg 2.<br />
+<br> <strong>Geographic location</strong><br />
+</li>
+<li><code>Longitude</code>: Degrees, WGS85.<br />
+</li>
+<li><code>Latitude</code>: Degrees, WGS85.<br />
+</li>
+<li><code>Location uncertainty (m)</code>: Uncertainty of geographic coordinates. Negative if estimated, instead of measured.</li>
+<li><code>Country</code>: Original country name in Turboveg 3.<br />
+</li>
+<li><code>CONTINENT</code>: Continent.<br />
+</li>
+<li><code>sBiome</code>: Biome, as defined in <a href="https://onlinelibrary.wiley.com/doi/10.1111/jvs.12710">Bruelheide et al. 2019 - JVS</a>.<br />
+</li>
+<li><code>sBiomeID</code>: Biome ID, as defined in <a href="https://onlinelibrary.wiley.com/doi/10.1111/jvs.12710">Bruelheide et al. 2019 - JVS</a> (see Appendix 5).<br />
+</li>
+<li><code>Ecoregion</code>: <a href="https://www.worldwildlife.org/publications/terrestrial-ecoregions-of-the-world">WWF Ecoregion</a><br />
+</li>
+<li><code>EcoregionID</code>: WWF ecoreigon ID.<br />
+</li>
+<li><code>Locality</code>: As reported in the original data.<br />
+<br> <strong>Sampling design</strong></li>
+<li><code>Relevé area (m²)</code>: Size of the sampling plot.<br />
+</li>
+<li><code>Cover abundance scale</code>: Cover\abundance scale used in the field.<br />
+</li>
+<li><code>Date of recording</code>: Date of sampling.<br />
+</li>
+<li><code>Plants recorded</code>: Group of plants recorded in the field: e.g., “All vascular plants”, “Woody plants with DBH &gt; 10cm”. In case of NA, it is mostly safe to assume that all vascular plants were recorded.<br />
+</li>
+<li><code>Herbs identified (y/n)</code>: Y if herbs were identified (as opposed to woody species). In case of NA, it is mostly safe to assume that herbs were sampled and identified.<br />
+</li>
+<li><code>Mosses identified (y/n)</code>: Y if mosses were identified. In case of NA, it is safe to assume that Mosses were NOT sampled.<br />
+</li>
+<li><code>Lichens identified (y/n)</code>: Y if lichens were identified. In case of NA, it is safe to assume that lichens were NOT sampled.<br />
+<br> <strong>Topogaphy</strong></li>
+<li><code>elevation_dem</code>: Elevation of plot, as derived from geographic coordinates (and averaged based on location uncertainty).</li>
+<li><code>Altitude (m)</code>: Elevation of plot, as measured in the field.<br />
+</li>
+<li><code>Aspect (°)</code>: Topographical aspect of plot (in degrees).<br />
+</li>
+<li><code>Slope (°)</code>: Topographical slope of plot (in degrees).<br />
+<br> <strong>Vegetation types</strong> - The fields Forest, Shrubland, Grassland, Wetland and Sparse_vegetation are not mutually exclusive. Their combination identifies ecotones and transition vegetation types.<br />
+</li>
+<li><code>Forest</code>: TRUE (=1) or Fals (=0).</li>
+<li><code>Shrubland</code>: TRUE (=1) or Fals (=0).<br />
+</li>
+<li><code>Grassland</code>: TRUE (=1) or Fals (=0).</li>
+<li><code>Wetland</code>: TRUE (=1) or Fals (=0).</li>
+<li><code>Sparse.vegetation</code>: TRUE (=1) or Fals (=0).</li>
+<li><code>Naturalness</code>: 1=Natural, 2=Semi-natural, 3=Anthropogenic.<br />
+</li>
+<li><code>ESY</code>: EUNIS Habitat Classification Expert system, as described in <a href="https://onlinelibrary.wiley.com/doi/full/10.1111/avsc.12519">Chytrý et al. (2020)</a>.<br />
+<br> <strong>Vegetation structure</strong></li>
+<li><code>Cover total (%)</code>: Total cover of vegetation.<br />
+</li>
+<li><code>Cover tree layer (%)</code>: Total cover of tree layer.<br />
+</li>
+<li><code>Cover shrub layer (%)</code>: Total cover of shrub layer.<br />
+</li>
+<li><code>Cover herb layer (%)</code>: Total cover of herb layer.<br />
+</li>
+<li><code>Cover moss layer (%)</code>: Total cover of moss layer.<br />
+</li>
+<li><code>Cover lichen layer (%)</code>: Total cover of lichen layer.<br />
+</li>
+<li><code>Cover algae layer (%)</code>: Total cover of algae layer.<br />
+</li>
+<li><code>Cover litter layer (%)</code>: Total cover of litter layer.<br />
+</li>
+<li><code>Cover open water (%)</code>: Total cover of open water.<br />
+</li>
+<li><code>Cover bare rock (%)</code>: Total cover of bare rocks.<br />
+</li>
+<li><code>Height (highest) trees (m)</code>: Height of the highest tree layer.<br />
+</li>
+<li><code>Height lowest trees (m)</code>: Height of the lowest tree layer.<br />
+</li>
+<li><code>Height (highest) shrubs (m)</code>: Height of the highest shrub layer.<br />
+</li>
+<li><code>Height lowest shrubs (m)</code>: Height of the lowest shrub layer.<br />
+</li>
+<li><code>Aver. height (high) herbs (cm)</code>: Average height of highest herb layer.<br />
+</li>
+<li><code>Aver. height lowest herbs (cm)</code>: Average height of the lowest herb layer.<br />
+</li>
+<li><code>Maximum height herbs (cm)</code>: Maximum height of herbs.<br />
+</li>
+<li><code>Maximum height cryptogams (mm)</code>: Maximum height of cryptogams.<br />
+<br> Additional info on some of the fields is in <a href="https://onlinelibrary.wiley.com/doi/10.1111/jvs.12710">Bruelheide et al. 2019 - JVS</a>.</li>
+</ol>
+</div>
+</div>
+<div id="dt-table" class="section level1">
+<h1><span class="header-section-number">3</span> DT Table</h1>
+<p>The DT table, contains information on which species was recorded in what plot, and with what abundance. The construction of the object <code>DT_sPlot3.0</code> is documented at <a href="https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/06_buildDT.html" class="uri">https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/06_buildDT.html</a> (download needed).</p>
+<pre class="r"><code>load(&quot;../_output/DT_sPlot3.0.RData&quot;)</code></pre>
+<div id="show-output-2" class="section level2">
+<h2><span class="header-section-number">3.1</span> Show output</h2>
+<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
+<caption>
+Example of DT table (only species from three randomly selected plots shown)
+</caption>
+<thead>
+<tr>
+<th style="text-align:right;">
+PlotObservationID
+</th>
+<th style="text-align:left;">
+Species
+</th>
+<th style="text-align:left;">
+Species_original
+</th>
+<th style="text-align:left;">
+Rank_correct
+</th>
+<th style="text-align:left;">
+Taxon_group
+</th>
+<th style="text-align:right;">
+Layer
+</th>
+<th style="text-align:left;">
+Cover_code
+</th>
+<th style="text-align:left;">
+Ab_scale
+</th>
+<th style="text-align:right;">
+Abundance
+</th>
+<th style="text-align:right;">
+Relative_cover
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right;">
+641829
+</td>
+<td style="text-align:left;">
+Atriplex glabriuscula
+</td>
+<td style="text-align:left;">
+Atriplex babingtonii var. prostrata
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+<ul>
+<li></td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0.0235294
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+641829
+</td>
+<td style="text-align:left;">
+Cotula coronopifolia
+</td>
+<td style="text-align:left;">
+Cotula coronopifolia
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+<ul>
+<li></td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0.0235294
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+641829
+</td>
+<td style="text-align:left;">
+Crypsis aculeata
+</td>
+<td style="text-align:left;">
+Crypsis aculeata
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+2
+</td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+13
+</td>
+<td style="text-align:right;">
+0.1529412
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+641829
+</td>
+<td style="text-align:left;">
+Bolboschoenus maritimus
+</td>
+<td style="text-align:left;">
+Scirpus maritimus
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+4
+</td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+68
+</td>
+<td style="text-align:right;">
+0.8000000
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1127960
+</td>
+<td style="text-align:left;">
+Achillea millefolium
+</td>
+<td style="text-align:left;">
+Achillea millefolium
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+<ul>
+<li></td>
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+<ul>
+<li></td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0.0092166
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1127960
+</td>
+<td style="text-align:left;">
+Veronica officinalis
+</td>
+<td style="text-align:left;">
+Veronica officinalis
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+<ul>
+<li></td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0.0092166
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1127960
+</td>
+<td style="text-align:left;">
+Viola riviniana
+</td>
+<td style="text-align:left;">
+Viola riviniana
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+r
+</td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0.0046083
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Adiantum capillus-veneris
+</td>
+<td style="text-align:left;">
+Adiantum capillus-veneris
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+<ul>
+<li></td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0.0232558
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Aristolochia baetica
+</td>
+<td style="text-align:left;">
+Aristolochia baetica
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+<ul>
+<li></td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0.0232558
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Arum italicum
+</td>
+<td style="text-align:left;">
+Arum italicum
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+<ul>
+<li></td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0.0232558
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Arundo donax
+</td>
+<td style="text-align:left;">
+Arundo donax
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+1
+</td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+3
+</td>
+<td style="text-align:right;">
+0.0348837
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Brachypodium sylvaticum
+</td>
+<td style="text-align:left;">
+Brachypodium sylvaticum subsp. sylvaticum
+</td>
+<td style="text-align:left;">
+higher
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+<ul>
+<li></td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0.0232558
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Cyperus longus
+</td>
+<td style="text-align:left;">
+Cyperus longus
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+<ul>
+<li></td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0.0232558
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Nerium oleander
+</td>
+<td style="text-align:left;">
+Nerium oleander subsp. oleander
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+<ul>
+<li></td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0.0232558
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Olea europaea
+</td>
+<td style="text-align:left;">
+Olea europaea subsp. sylvestris
+</td>
+<td style="text-align:left;">
+lower
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+1
+</td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+3
+</td>
+<td style="text-align:right;">
+0.0348837
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Populus alba
+</td>
+<td style="text-align:left;">
+Populus alba
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+3
+</td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+38
+</td>
+<td style="text-align:right;">
+0.4418605
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Potentilla reptans
+</td>
+<td style="text-align:left;">
+Potentilla reptans
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+<ul>
+<li></td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0.0232558
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Rubus ulmifolius
+</td>
+<td style="text-align:left;">
+Rubus ulmifolius
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+2
+</td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+13
+</td>
+<td style="text-align:right;">
+0.1511628
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Salix secalliana
+</td>
+<td style="text-align:left;">
+Salix x secalliana
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+<ul>
+<li></td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0.0232558
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1515499
+</td>
+<td style="text-align:left;">
+Smilax aspera
+</td>
+<td style="text-align:left;">
+Smilax aspera
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:left;">
+Vascular plant
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:left;">
+2
+</td>
+<td style="text-align:left;">
+CoverPerc
+</td>
+<td style="text-align:right;">
+13
+</td>
+<td style="text-align:right;">
+0.1511628
+</td>
+</tr>
+</tbody>
+</table>
+The DT table contains 43102856 entries, from 76912 species.</li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul></li>
+</ul>
+</div>
+<div id="description-of-fields-2" class="section level2">
+<h2><span class="header-section-number">3.2</span> Description of fields</h2>
+<ol style="list-style-type: decimal">
+<li><code>PlotObservationID</code>: Plot ID (as in Header).<br />
+</li>
+<li><code>Species</code>: Resolved species name (as derived from the field <code>name_short</code> in the Backbone).<br />
+</li>
+<li><code>Species_original</code>: Original species name (before resolution, as in the field <code>name_sPlot_TRY</code> in the Backbone).<br />
+</li>
+<li><code>Rank_correct</code>: Taxonomic rank of the corrected name (as in the homonymous field in the Backbone).<br />
+</li>
+<li><code>Taxon_group</code>: Taxon group (as in the homonymous field in the Backbone).<br />
+</li>
+<li><code>Layer</code>: Vegetation layer, as specified in Turboveg: <em>0</em>: No layer specified, <em>1</em>: Upper tree layer, <em>2</em>: Middle tree layer, <em>3</em>: Lower tree layer, <em>4</em>: Upper shrub layer, <em>5</em>: Lower shrub layer, <em>6</em>: Herb layer, <em>7</em>: Juvenile, <em>8</em>: Seedling, <em>9</em>: Moss layer.<br />
+</li>
+<li><code>Cover_code</code>: Cover\abundance code in original data, before transformation to quantitative value or percentage cover.<br />
+</li>
+<li><code>Ab_scale</code>: Abundance scale in original data. Possible values are: <em>CoverPerc</em>: Cover Percentage, <em>pa</em>: Presence absence, <em>x_BA</em>: Basal Area, <em>x_IC</em>: Individual count, <em>x_SC</em>: Stem count, <em>x_IV</em>: Relative Importance, <em>x_RF</em>: Relative Frequency.<br />
+</li>
+<li><code>Abundance</code>: Abundance value, in original value, or as transformed from original <code>Cover code</code> to quantitative values.</li>
+<li><code>Relative_cover</code>: Abundance\Cover of each species after being normalized to 1 in each plot.</li>
+</ol>
+</div>
+</div>
+<div id="functional-traits-and-community-weighted-meansvariances" class="section level1">
+<h1><span class="header-section-number">4</span> Functional Traits and Community Weighted Means\Variances</h1>
+<p>The object <code>Traits_CWMs_sPlot3.RData</code> contains three data.frames:<br />
+1) data.frame <code>try.combined.means</code> - Mean and s.d. of gap-filled functional traits of all species in TRY 5.0.<br />
+2) data.frame <code>sPlot.traits</code> - Mean and s.d. of gap-filled functional traits of all species in sPlot.<br />
+3) data.frame <code>CWM</code> - Plot Community Weighted means and variances.<br />
+<br></p>
+<p>A detailed description of the construction of this object is available at: <a href="https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/07_buildCWMs.html" class="uri">https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/07_buildCWMs.html</a> (download needed)</p>
+<pre class="r"><code>load(&quot;../_output/Traits_CWMs_sPlot3.RData&quot;)</code></pre>
+<div id="show-output-3" class="section level2">
+<h2><span class="header-section-number">4.1</span> Show output</h2>
+Object <code>try.combined.means</code>.
+<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
+<caption>
+Example of trait table of TRY species (only 10 randomly selected species shown)
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+Taxon_name
+</th>
+<th style="text-align:left;">
+Rank_correct
+</th>
+<th style="text-align:right;">
+n
+</th>
+<th style="text-align:right;">
+StemDens_mean
+</th>
+<th style="text-align:right;">
+RootingDepth_mean
+</th>
+<th style="text-align:right;">
+SLA_mean
+</th>
+<th style="text-align:right;">
+LeafC.perdrymass_mean
+</th>
+<th style="text-align:right;">
+LeafN_mean
+</th>
+<th style="text-align:right;">
+LeafP_mean
+</th>
+<th style="text-align:right;">
+PlantHeight_mean
+</th>
+<th style="text-align:right;">
+StemDiam_mean
+</th>
+<th style="text-align:right;">
+SeedMass_mean
+</th>
+<th style="text-align:right;">
+Seed.length_mean
+</th>
+<th style="text-align:right;">
+LeafThickness_mean
+</th>
+<th style="text-align:right;">
+LDMC_mean
+</th>
+<th style="text-align:right;">
+LeafNperArea_mean
+</th>
+<th style="text-align:right;">
+LeafDryMass.single_mean
+</th>
+<th style="text-align:right;">
+Leaf.delta.15N_mean
+</th>
+<th style="text-align:right;">
+SeedGerminationRate_mean
+</th>
+<th style="text-align:right;">
+Seed.num.rep.unit_mean
+</th>
+<th style="text-align:right;">
+LeafLength_mean
+</th>
+<th style="text-align:right;">
+LeafWidth_mean
+</th>
+<th style="text-align:right;">
+LeafCN.ratio_mean
+</th>
+<th style="text-align:right;">
+Leaffreshmass_mean
+</th>
+<th style="text-align:right;">
+Stem.cond.dens_mean
+</th>
+<th style="text-align:right;">
+Chromosome.n_mean
+</th>
+<th style="text-align:right;">
+Chromosome.cDNAcont_mean
+</th>
+<th style="text-align:right;">
+Disp.unit.leng_mean
+</th>
+<th style="text-align:right;">
+StemConduitDiameter_mean
+</th>
+<th style="text-align:right;">
+Wood.vessel.length_mean
+</th>
+<th style="text-align:right;">
+WoodFiberLength_mean
+</th>
+<th style="text-align:right;">
+SpecificRootLength_mean
+</th>
+<th style="text-align:right;">
+LeafArea.leaf.undef_mean
+</th>
+<th style="text-align:right;">
+LeafArea.leaflet.undef_mean
+</th>
+<th style="text-align:right;">
+LeafArea.undef.undef_mean
+</th>
+<th style="text-align:right;">
+LeafWaterCont_mean
+</th>
+<th style="text-align:right;">
+StemDens_sd
+</th>
+<th style="text-align:right;">
+RootingDepth_sd
+</th>
+<th style="text-align:right;">
+SLA_sd
+</th>
+<th style="text-align:right;">
+LeafC.perdrymass_sd
+</th>
+<th style="text-align:right;">
+LeafN_sd
+</th>
+<th style="text-align:right;">
+LeafP_sd
+</th>
+<th style="text-align:right;">
+PlantHeight_sd
+</th>
+<th style="text-align:right;">
+StemDiam_sd
+</th>
+<th style="text-align:right;">
+SeedMass_sd
+</th>
+<th style="text-align:right;">
+Seed.length_sd
+</th>
+<th style="text-align:right;">
+LeafThickness_sd
+</th>
+<th style="text-align:right;">
+LDMC_sd
+</th>
+<th style="text-align:right;">
+LeafNperArea_sd
+</th>
+<th style="text-align:right;">
+LeafDryMass.single_sd
+</th>
+<th style="text-align:right;">
+Leaf.delta.15N_sd
+</th>
+<th style="text-align:right;">
+SeedGerminationRate_sd
+</th>
+<th style="text-align:right;">
+Seed.num.rep.unit_sd
+</th>
+<th style="text-align:right;">
+LeafLength_sd
+</th>
+<th style="text-align:right;">
+LeafWidth_sd
+</th>
+<th style="text-align:right;">
+LeafCN.ratio_sd
+</th>
+<th style="text-align:right;">
+Leaffreshmass_sd
+</th>
+<th style="text-align:right;">
+Stem.cond.dens_sd
+</th>
+<th style="text-align:right;">
+Chromosome.n_sd
+</th>
+<th style="text-align:right;">
+Chromosome.cDNAcont_sd
+</th>
+<th style="text-align:right;">
+Disp.unit.leng_sd
+</th>
+<th style="text-align:right;">
+StemConduitDiameter_sd
+</th>
+<th style="text-align:right;">
+Wood.vessel.length_sd
+</th>
+<th style="text-align:right;">
+WoodFiberLength_sd
+</th>
+<th style="text-align:right;">
+SpecificRootLength_sd
+</th>
+<th style="text-align:right;">
+LeafArea.leaf.undef_sd
+</th>
+<th style="text-align:right;">
+LeafArea.leaflet.undef_sd
+</th>
+<th style="text-align:right;">
+LeafArea.undef.undef_sd
+</th>
+<th style="text-align:right;">
+LeafWaterCont_sd
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Cryptocarya natalensis
+</td>
+<td style="text-align:left;">
+species
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0.5751702
+</td>
+<td style="text-align:right;">
+2.5326360
+</td>
+<td style="text-align:right;">
+10.425681
+</td>
+<td style="text-align:right;">
+493.2546
+</td>
+<td style="text-align:right;">
+15.11499
+</td>
+<td style="text-align:right;">
+0.9388697
+</td>
+<td style="text-align:right;">
+10.6950543
+</td>
+<td style="text-align:right;">
+0.1209285
+</td>
+<td style="text-align:right;">
+457.804656
+</td>
+<td style="text-align:right;">
+12.989073
+</td>
+<td style="text-align:right;">
+0.3112685
+</td>
+<td style="text-align:right;">
+0.3560181
+</td>
+<td style="text-align:right;">
+1.479780
+</td>
+<td style="text-align:right;">
+298.27651
+</td>
+<td style="text-align:right;">
+0.6206322
+</td>
+<td style="text-align:right;">
+112.53326
+</td>
+<td style="text-align:right;">
+113.217312
+</td>
+<td style="text-align:right;">
+56.57014
+</td>
+<td style="text-align:right;">
+2.802918
+</td>
+<td style="text-align:right;">
+32.91668
+</td>
+<td style="text-align:right;">
+0.8092815
+</td>
+<td style="text-align:right;">
+47.18446
+</td>
+<td style="text-align:right;">
+22.96402
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+</tr>
+</tbody>
+</table>
+<p>The object <code>try.combined.means</code> contains the average and standard deviation of the gap-filled trait values of 57869 taxa (species or genera) from TRY 5.0.<br />
+<br></p>
+Object <code>sPlot.traits</code>.
+<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
+<caption>
+Example of trait table of sPlot species (only 10 randomly selected species shown)
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+Species
+</th>
+<th style="text-align:left;">
+GrowthForm
+</th>
+<th style="text-align:left;">
+is.tree.or.tall.shrub
+</th>
+<th style="text-align:right;">
+n
+</th>
+<th style="text-align:right;">
+StemDens_mean
+</th>
+<th style="text-align:right;">
+RootingDepth_mean
+</th>
+<th style="text-align:right;">
+SLA_mean
+</th>
+<th style="text-align:right;">
+LeafC.perdrymass_mean
+</th>
+<th style="text-align:right;">
+LeafN_mean
+</th>
+<th style="text-align:right;">
+LeafP_mean
+</th>
+<th style="text-align:right;">
+PlantHeight_mean
+</th>
+<th style="text-align:right;">
+StemDiam_mean
+</th>
+<th style="text-align:right;">
+SeedMass_mean
+</th>
+<th style="text-align:right;">
+Seed.length_mean
+</th>
+<th style="text-align:right;">
+LeafThickness_mean
+</th>
+<th style="text-align:right;">
+LDMC_mean
+</th>
+<th style="text-align:right;">
+LeafNperArea_mean
+</th>
+<th style="text-align:right;">
+LeafDryMass.single_mean
+</th>
+<th style="text-align:right;">
+Leaf.delta.15N_mean
+</th>
+<th style="text-align:right;">
+SeedGerminationRate_mean
+</th>
+<th style="text-align:right;">
+Seed.num.rep.unit_mean
+</th>
+<th style="text-align:right;">
+LeafLength_mean
+</th>
+<th style="text-align:right;">
+LeafWidth_mean
+</th>
+<th style="text-align:right;">
+LeafCN.ratio_mean
+</th>
+<th style="text-align:right;">
+Leaffreshmass_mean
+</th>
+<th style="text-align:right;">
+Stem.cond.dens_mean
+</th>
+<th style="text-align:right;">
+Chromosome.n_mean
+</th>
+<th style="text-align:right;">
+Chromosome.cDNAcont_mean
+</th>
+<th style="text-align:right;">
+Disp.unit.leng_mean
+</th>
+<th style="text-align:right;">
+StemConduitDiameter_mean
+</th>
+<th style="text-align:right;">
+Wood.vessel.length_mean
+</th>
+<th style="text-align:right;">
+WoodFiberLength_mean
+</th>
+<th style="text-align:right;">
+SpecificRootLength_mean
+</th>
+<th style="text-align:right;">
+LeafArea.leaf.undef_mean
+</th>
+<th style="text-align:right;">
+LeafArea.leaflet.undef_mean
+</th>
+<th style="text-align:right;">
+LeafArea.undef.undef_mean
+</th>
+<th style="text-align:right;">
+LeafWaterCont_mean
+</th>
+<th style="text-align:right;">
+StemDens_sd
+</th>
+<th style="text-align:right;">
+RootingDepth_sd
+</th>
+<th style="text-align:right;">
+SLA_sd
+</th>
+<th style="text-align:right;">
+LeafC.perdrymass_sd
+</th>
+<th style="text-align:right;">
+LeafN_sd
+</th>
+<th style="text-align:right;">
+LeafP_sd
+</th>
+<th style="text-align:right;">
+PlantHeight_sd
+</th>
+<th style="text-align:right;">
+StemDiam_sd
+</th>
+<th style="text-align:right;">
+SeedMass_sd
+</th>
+<th style="text-align:right;">
+Seed.length_sd
+</th>
+<th style="text-align:right;">
+LeafThickness_sd
+</th>
+<th style="text-align:right;">
+LDMC_sd
+</th>
+<th style="text-align:right;">
+LeafNperArea_sd
+</th>
+<th style="text-align:right;">
+LeafDryMass.single_sd
+</th>
+<th style="text-align:right;">
+Leaf.delta.15N_sd
+</th>
+<th style="text-align:right;">
+SeedGerminationRate_sd
+</th>
+<th style="text-align:right;">
+Seed.num.rep.unit_sd
+</th>
+<th style="text-align:right;">
+LeafLength_sd
+</th>
+<th style="text-align:right;">
+LeafWidth_sd
+</th>
+<th style="text-align:right;">
+LeafCN.ratio_sd
+</th>
+<th style="text-align:right;">
+Leaffreshmass_sd
+</th>
+<th style="text-align:right;">
+Stem.cond.dens_sd
+</th>
+<th style="text-align:right;">
+Chromosome.n_sd
+</th>
+<th style="text-align:right;">
+Chromosome.cDNAcont_sd
+</th>
+<th style="text-align:right;">
+Disp.unit.leng_sd
+</th>
+<th style="text-align:right;">
+StemConduitDiameter_sd
+</th>
+<th style="text-align:right;">
+Wood.vessel.length_sd
+</th>
+<th style="text-align:right;">
+WoodFiberLength_sd
+</th>
+<th style="text-align:right;">
+SpecificRootLength_sd
+</th>
+<th style="text-align:right;">
+LeafArea.leaf.undef_sd
+</th>
+<th style="text-align:right;">
+LeafArea.leaflet.undef_sd
+</th>
+<th style="text-align:right;">
+LeafArea.undef.undef_sd
+</th>
+<th style="text-align:right;">
+LeafWaterCont_sd
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Cullen balsamicum
+</td>
+<td style="text-align:left;">
+shrub
+</td>
+<td style="text-align:left;">
+FALSE
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0.7658141
+</td>
+<td style="text-align:right;">
+1.1357731
+</td>
+<td style="text-align:right;">
+14.574205
+</td>
+<td style="text-align:right;">
+470.7908
+</td>
+<td style="text-align:right;">
+24.79413
+</td>
+<td style="text-align:right;">
+1.0757493
+</td>
+<td style="text-align:right;">
+0.7632617
+</td>
+<td style="text-align:right;">
+0.0803196
+</td>
+<td style="text-align:right;">
+10.1953783
+</td>
+<td style="text-align:right;">
+2.4795811
+</td>
+<td style="text-align:right;">
+0.1927224
+</td>
+<td style="text-align:right;">
+0.3463087
+</td>
+<td style="text-align:right;">
+1.907615
+</td>
+<td style="text-align:right;">
+44.962733
+</td>
+<td style="text-align:right;">
+1.2294652
+</td>
+<td style="text-align:right;">
+88.70267
+</td>
+<td style="text-align:right;">
+32.70424
+</td>
+<td style="text-align:right;">
+11.29050
+</td>
+<td style="text-align:right;">
+0.6326952
+</td>
+<td style="text-align:right;">
+22.57503
+</td>
+<td style="text-align:right;">
+0.1346718
+</td>
+<td style="text-align:right;">
+20.03144
+</td>
+<td style="text-align:right;">
+21.42409
+</td>
+<td style="text-align:right;">
+2.382236
+</td>
+<td style="text-align:right;">
+2.7979452
+</td>
+<td style="text-align:right;">
+40.80183
+</td>
+<td style="text-align:right;">
+291.5052
+</td>
+<td style="text-align:right;">
+728.8761
+</td>
+<td style="text-align:right;">
+1505.746
+</td>
+<td style="text-align:right;">
+662.69302
+</td>
+<td style="text-align:right;">
+477.97997
+</td>
+<td style="text-align:right;">
+493.71686
+</td>
+<td style="text-align:right;">
+2.637198
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Asplenium gracillimum
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Chaptalia cordata
+</td>
+<td style="text-align:left;">
+herb
+</td>
+<td style="text-align:left;">
+FALSE
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Juncus usitatus
+</td>
+<td style="text-align:left;">
+herb
+</td>
+<td style="text-align:left;">
+FALSE
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0.4091928
+</td>
+<td style="text-align:right;">
+0.3306955
+</td>
+<td style="text-align:right;">
+4.059129
+</td>
+<td style="text-align:right;">
+455.9002
+</td>
+<td style="text-align:right;">
+13.55613
+</td>
+<td style="text-align:right;">
+1.2942317
+</td>
+<td style="text-align:right;">
+0.7075022
+</td>
+<td style="text-align:right;">
+0.0212076
+</td>
+<td style="text-align:right;">
+0.0106495
+</td>
+<td style="text-align:right;">
+0.5648196
+</td>
+<td style="text-align:right;">
+0.7184515
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Crossotoma spinescens
+</td>
+<td style="text-align:left;">
+shrub
+</td>
+<td style="text-align:left;">
+FALSE
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+0.8014587
+</td>
+<td style="text-align:right;">
+0.0838612
+</td>
+<td style="text-align:right;">
+6.048407
+</td>
+<td style="text-align:right;">
+421.9298
+</td>
+<td style="text-align:right;">
+13.67867
+</td>
+<td style="text-align:right;">
+0.7690420
+</td>
+<td style="text-align:right;">
+0.4821147
+</td>
+<td style="text-align:right;">
+0.2013032
+</td>
+<td style="text-align:right;">
+9.5823304
+</td>
+<td style="text-align:right;">
+2.8344815
+</td>
+<td style="text-align:right;">
+0.2753666
+</td>
+<td style="text-align:right;">
+0.3836693
+</td>
+<td style="text-align:right;">
+2.686704
+</td>
+<td style="text-align:right;">
+4.199538
+</td>
+<td style="text-align:right;">
+1.4836421
+</td>
+<td style="text-align:right;">
+83.46168
+</td>
+<td style="text-align:right;">
+21.55450
+</td>
+<td style="text-align:right;">
+34.49594
+</td>
+<td style="text-align:right;">
+0.8690264
+</td>
+<td style="text-align:right;">
+35.95583
+</td>
+<td style="text-align:right;">
+0.0101748
+</td>
+<td style="text-align:right;">
+176.32695
+</td>
+<td style="text-align:right;">
+20.98942
+</td>
+<td style="text-align:right;">
+1.517257
+</td>
+<td style="text-align:right;">
+5.3409227
+</td>
+<td style="text-align:right;">
+12.57043
+</td>
+<td style="text-align:right;">
+301.2933
+</td>
+<td style="text-align:right;">
+826.8403
+</td>
+<td style="text-align:right;">
+2216.018
+</td>
+<td style="text-align:right;">
+28.78313
+</td>
+<td style="text-align:right;">
+23.62365
+</td>
+<td style="text-align:right;">
+55.48094
+</td>
+<td style="text-align:right;">
+2.330571
+</td>
+<td style="text-align:right;">
+0.0047632
+</td>
+<td style="text-align:right;">
+0.0055335
+</td>
+<td style="text-align:right;">
+0.7318927
+</td>
+<td style="text-align:right;">
+0.9680828
+</td>
+<td style="text-align:right;">
+0.5231827
+</td>
+<td style="text-align:right;">
+0.0342816
+</td>
+<td style="text-align:right;">
+0.1960718
+</td>
+<td style="text-align:right;">
+0.0314662
+</td>
+<td style="text-align:right;">
+1.4528715
+</td>
+<td style="text-align:right;">
+0.1835786
+</td>
+<td style="text-align:right;">
+0.0144772
+</td>
+<td style="text-align:right;">
+0.0103723
+</td>
+<td style="text-align:right;">
+0.2212469
+</td>
+<td style="text-align:right;">
+0.7488502
+</td>
+<td style="text-align:right;">
+0.1774395
+</td>
+<td style="text-align:right;">
+0.631457
+</td>
+<td style="text-align:right;">
+4.486621
+</td>
+<td style="text-align:right;">
+5.094522
+</td>
+<td style="text-align:right;">
+0.1549661
+</td>
+<td style="text-align:right;">
+1.397549
+</td>
+<td style="text-align:right;">
+0.0017404
+</td>
+<td style="text-align:right;">
+12.48717
+</td>
+<td style="text-align:right;">
+0.1362215
+</td>
+<td style="text-align:right;">
+0.0371624
+</td>
+<td style="text-align:right;">
+0.3081829
+</td>
+<td style="text-align:right;">
+0.3744928
+</td>
+<td style="text-align:right;">
+7.02001
+</td>
+<td style="text-align:right;">
+23.64030
+</td>
+<td style="text-align:right;">
+116.5048
+</td>
+<td style="text-align:right;">
+5.703395
+</td>
+<td style="text-align:right;">
+4.84936
+</td>
+<td style="text-align:right;">
+11.32248
+</td>
+<td style="text-align:right;">
+0.1134490
+</td>
+</tr>
+</tbody>
+</table>
+<p>The object <code>sPlot.traits</code> contains the average and standard deviation of the gap-filled trait values for 32201 taxa (species or genera), out of 76912 in sPlot. It also contains growth form information for 45587 species.</p>
+<br> Object <code>CWM</code>.
+<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
+<caption>
+Example of CWM table (only 10 randomly selected plots shown)
+</caption>
+<thead>
+<tr>
+<th style="text-align:right;">
+PlotObservationID
+</th>
+<th style="text-align:left;">
+variable
+</th>
+<th style="text-align:right;">
+sp.richness
+</th>
+<th style="text-align:right;">
+prop.sp.with.trait
+</th>
+<th style="text-align:right;">
+trait.coverage
+</th>
+<th style="text-align:right;">
+CWM
+</th>
+<th style="text-align:right;">
+CWV
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right;">
+693027
+</td>
+<td style="text-align:left;">
+LeafP_mean
+</td>
+<td style="text-align:right;">
+13
+</td>
+<td style="text-align:right;">
+0.9230769
+</td>
+<td style="text-align:right;">
+0.9467213
+</td>
+<td style="text-align:right;">
+1.740370e+00
+</td>
+<td style="text-align:right;">
+1.707564e-01
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1339398
+</td>
+<td style="text-align:left;">
+LeafLength_mean
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+0.6250000
+</td>
+<td style="text-align:right;">
+0.5227273
+</td>
+<td style="text-align:right;">
+2.165635e+01
+</td>
+<td style="text-align:right;">
+3.033668e+02
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+692278
+</td>
+<td style="text-align:left;">
+LeafP_mean
+</td>
+<td style="text-align:right;">
+20
+</td>
+<td style="text-align:right;">
+0.7000000
+</td>
+<td style="text-align:right;">
+0.5355517
+</td>
+<td style="text-align:right;">
+2.332146e+00
+</td>
+<td style="text-align:right;">
+7.008663e-01
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1729372
+</td>
+<td style="text-align:left;">
+LeafWidth_mean
+</td>
+<td style="text-align:right;">
+7
+</td>
+<td style="text-align:right;">
+0.8571429
+</td>
+<td style="text-align:right;">
+0.7904762
+</td>
+<td style="text-align:right;">
+1.453743e+00
+</td>
+<td style="text-align:right;">
+2.909174e-01
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+502174
+</td>
+<td style="text-align:left;">
+StemDens_mean
+</td>
+<td style="text-align:right;">
+29
+</td>
+<td style="text-align:right;">
+0.7586207
+</td>
+<td style="text-align:right;">
+0.4222222
+</td>
+<td style="text-align:right;">
+3.868366e-01
+</td>
+<td style="text-align:right;">
+1.125460e-02
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1095140
+</td>
+<td style="text-align:left;">
+Seed.length_mean
+</td>
+<td style="text-align:right;">
+18
+</td>
+<td style="text-align:right;">
+0.8888889
+</td>
+<td style="text-align:right;">
+0.9600000
+</td>
+<td style="text-align:right;">
+1.776557e+00
+</td>
+<td style="text-align:right;">
+4.106242e-01
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1178622
+</td>
+<td style="text-align:left;">
+LeafThickness_mean
+</td>
+<td style="text-align:right;">
+21
+</td>
+<td style="text-align:right;">
+0.6666667
+</td>
+<td style="text-align:right;">
+0.8346457
+</td>
+<td style="text-align:right;">
+1.664092e-01
+</td>
+<td style="text-align:right;">
+4.295500e-03
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+857064
+</td>
+<td style="text-align:left;">
+Seed.length_mean
+</td>
+<td style="text-align:right;">
+24
+</td>
+<td style="text-align:right;">
+0.9166667
+</td>
+<td style="text-align:right;">
+0.6666667
+</td>
+<td style="text-align:right;">
+1.757482e+00
+</td>
+<td style="text-align:right;">
+3.281443e-01
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+143848
+</td>
+<td style="text-align:left;">
+SpecificRootLength_mean
+</td>
+<td style="text-align:right;">
+25
+</td>
+<td style="text-align:right;">
+0.4800000
+</td>
+<td style="text-align:right;">
+0.4899320
+</td>
+<td style="text-align:right;">
+5.883528e+07
+</td>
+<td style="text-align:right;">
+4.706267e+16
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1078481
+</td>
+<td style="text-align:left;">
+LeafC.perdrymass_mean
+</td>
+<td style="text-align:right;">
+9
+</td>
+<td style="text-align:right;">
+1.0000000
+</td>
+<td style="text-align:right;">
+1.0000000
+</td>
+<td style="text-align:right;">
+4.368949e+02
+</td>
+<td style="text-align:right;">
+1.265754e+02
+</td>
+</tr>
+</tbody>
+</table>
+<p>The CWM table contains 56284833 entries, i.e., the combination between 1705601 unique plots, and 33.</p>
+</div>
+<div id="description-of-fields-3" class="section level2">
+<h2><span class="header-section-number">4.2</span> Description of fields</h2>
+<p><strong>Legend of traits</strong> used in the data.frame <code>sPlot.traits</code> and <code>try.combined.means</code>. The number represents the code in TRY dictionary. The abbreviation used is reported after the trait description.<br />
+<br> 4 Stem specific density (SSD) or wood density (stem dry mass per stem fresh volume)_g/cm3 - <code>StemDens</code><br />
+6 Root rooting depth_m - <code>RootingDepth</code><br />
+11 Leaf area per leaf dry mass (specific leaf area, SLA or 1/LMA) - <code>SLA</code><br />
+13 Leaf carbon (C) content per leaf dry mass_mg/g - <code>LeafC.perdrymass</code><br />
+14 Leaf nitrogen (N) content per leaf dry mass_mg/g - <code>LeafN</code><br />
+15 Leaf phosphorus (P) content per leaf dry mass_mg/g - <code>LeafP</code><br />
+18 Plant height (vegetative + generative) - <code>PlantHeight</code><br />
+21 Stem diameter_m - <code>StemDiam</code><br />
+26 Seed dry mass_mg - <code>SeedMass</code><br />
+27 Seed length_mm - <code>Seed.length</code><br />
+46 Leaf thickness_mm - <code>LeafThickness</code><br />
+47 Leaf dry mass per leaf fresh mass (leaf dry matter content, LDMC)_g g-1 - <code>LDMC</code><br />
+50 Leaf nitrogen (N) content per leaf area_g m-2 - <code>LeafNperArea</code><br />
+55 Leaf dry mass (single leaf)_mg - <code>LeafDryMass.single</code><br />
+78 Leaf nitrogen (N) isotope signature (delta 15N)_per - <code>Leaf.delta.15N</code><br />
+95 Seed germination rate (germination efficiency) % - <code>SeedGerminationRate</code><br />
+138 Seed number per reproducton unit_number - <code>Seed.num.rep.unit</code><br />
+144 Leaf length_mm - <code>LeafLength</code><br />
+145 Leaf width_cm - <code>LeafWidth</code><br />
+146 Leaf carbon/nitrogen (C/N) ratio_g/cm3 - <code>LeafCN.ratio</code><br />
+163 Leaf fresh mass_g - <code>Leaffreshmass</code><br />
+169 Stem conduit density (vessels and tracheids)_mm-2 - <code>Stem.cond.dens</code><br />
+223 Species genotype: chromosome number_dimensionless - <code>Chromosome.n</code><br />
+224 Species genotype: chromosome cDNA content_pg - <code>Chromosome.cDNAcont</code><br />
+237 Dispersal unit length_mm - <code>Disp.unit.leng</code><br />
+281 Stem conduit diameter (vessels, tracheids)_micro m - <code>StemConduitDiameter</code><br />
+282 Wood vessel element length; stem conduit (vessel and tracheids) element length_micro m - <code>Wood.vessel.length</code><br />
+289 Wood fiber lengths_micro m - <code>WoodFiberLength</code><br />
+1080 Root length per root dry mass (specific root length, SRL)_cm/g - <code>SpecificRootLength</code><br />
+3112 Leaf area (in case of compound leaves: leaf, undefined if petiole in- or excluded)_mm2 - <code>LeafArea.leaf.undef</code><br />
+3113 Leaf area (in case of compound leaves: leaflet, undefined if petiole is in- or excluded)_mm2 - <code>LeafArea.leaflet.undef</code><br />
+3114 Leaf area (in case of compound leaves undefined if leaf or leaflet, undefined if petiole is in- or excluded)_mm2 - <code>LeafArea.undef.undef</code><br />
+3120 Leaf water content per leaf dry mass (not saturated)_g(W)/g(DM) - <code>LeafWaterCont</code><br />
+<br> <br> <strong>List of Fields</strong><br />
+<br> Object <code>sPlot.traits</code><br />
+1. <code>Species</code>: Species name, as in the field <code>Species</code> of DT2.<br />
+2. <code>GrowthForm</code>: Possible values: <em>herb</em> , <em>herb/shrub</em> , <em>herb/shrub/tree</em> , <em>other</em> , <em>shrub</em> , <em>shrub/tree</em> , <em>tree</em>.<br />
+3. <code>is.tree.or.tall.shrub</code>: TRUE\FALSE - Defines as tree of tall shrub if Growth Form contains is equal to ‘tree’, ‘shrub/tree’ or ‘shrub’, or if Height &gt; 10 m.<br />
+4. <code>n</code>: Number of individual gap-filled entries used for calculating mean and s.d. of the taxon.<br />
+5-37. <strong>Functional traits</strong> means<br />
+38-70. <strong>Functional traits</strong> standard deviations<br />
+<br></p>
+<p>Object <code>try.combined.means</code><br />
+1. <code>Taxon_name</code>: Species name, as in the field <code>Species</code> of DT2.<br />
+2. <code>Rank_correct</code>: Rank of taxon name (either “Species”, or “Genus”), used for calculating the mean and s.d. of trait values.<br />
+3. <code>n</code>: Number of individual gap-filled entries used for calculating mean and s.d. of the taxon.<br />
+4-36. <strong>Functional trait</strong> means<br />
+37-69. <strong>Functional trait</strong> standard deviations<br />
+<br> <br></p>
+<p>Object <code>CWM</code><br />
+1. <code>PlotObservationID</code>: Plot ID, as in <code>header</code>.<br />
+2. <code>variable</code>: Functional trait.<br />
+3. <code>sp.richness</code>: Number of species in plot.<br />
+4. <code>prop.sp.with.trait</code>: Proportion of species with trait information.<br />
+5. <code>trait.coverage</code>: Proportion of the species’ relative cover for which functional trait is available.<br />
+6. <code>CWM</code>: Community Weighted Mean.<br />
+7. <code>CWV</code>: Community Weighted Variance.</p>
+</div>
+</div>
+<div id="environmental-variables" class="section level1">
+<h1><span class="header-section-number">5</span> Environmental variables</h1>
+<pre class="r"><code>load(&quot;../_output/SoilClim_sPlot3.RData&quot;)</code></pre>
+<p>The object <code>SoilClim_sPlot3</code> contains data on the environmental conditions of plots, as derived from matching Plots’ coordinates with global-scale layers of topography, climate and soil data. Its construction is documented at: <a href="https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/05_ExtractEnvironment.html" class="uri">https://git.idiv.de/fs40gaho/splot3_build/-/blob/master/public/05_ExtractEnvironment.html</a> (download needed).<br />
+Environmental data derive from three sources:</p>
+<ol style="list-style-type: decimal">
+<li>Bioclimatic variables (bio01-bio19) derive from <a href="http://chelsa-climate.org/bioclim/">CHELSA</a>.<br />
+</li>
+<li>Soil variables (5 cm depth) derive from the <a href="https://www.isric.org/">ISRIC dataset</a>, downloaded at 250-m resolution.<br />
+</li>
+<li>DEM derive from package <a href="https://cran.r-project.org/web/packages/elevatr/vignettes/introduction_to_elevatr.html#get_raster_elevation_data">elevatr</a>, which uses the <a href="https://registry.opendata.aws/terrain-tiles/">Terrain Tiles on Amazon Web Services</a>.</li>
+</ol>
+<div id="show-output-4" class="section level2">
+<h2><span class="header-section-number">5.1</span> Show output</h2>
+Example of dataframe <code>soilclim</code>.
+<table class="table table-striped table-hover table-condensed table-responsive" style="width: auto !important; margin-left: auto; margin-right: auto;">
+<caption>
+Example of environmental information on 10 randomly selected plots
+</caption>
+<thead>
+<tr>
+<th style="text-align:right;">
+PlotObservationID
+</th>
+<th style="text-align:right;">
+Elevation_median
+</th>
+<th style="text-align:right;">
+Elevation_q2.5
+</th>
+<th style="text-align:right;">
+Elevation_q97.5
+</th>
+<th style="text-align:right;">
+Elevation_DEM.res
+</th>
+<th style="text-align:right;">
+bio01
+</th>
+<th style="text-align:right;">
+bio02
+</th>
+<th style="text-align:right;">
+bio03
+</th>
+<th style="text-align:right;">
+bio04
+</th>
+<th style="text-align:right;">
+bio05
+</th>
+<th style="text-align:right;">
+bio06
+</th>
+<th style="text-align:right;">
+bio07
+</th>
+<th style="text-align:right;">
+bio08
+</th>
+<th style="text-align:right;">
+bio09
+</th>
+<th style="text-align:right;">
+bio10
+</th>
+<th style="text-align:right;">
+bio11
+</th>
+<th style="text-align:right;">
+bio12
+</th>
+<th style="text-align:right;">
+bio13
+</th>
+<th style="text-align:right;">
+bio14
+</th>
+<th style="text-align:right;">
+bio15
+</th>
+<th style="text-align:right;">
+bio16
+</th>
+<th style="text-align:right;">
+bio17
+</th>
+<th style="text-align:right;">
+bio18
+</th>
+<th style="text-align:right;">
+bio19
+</th>
+<th style="text-align:right;">
+bio01sd
+</th>
+<th style="text-align:right;">
+bio02sd
+</th>
+<th style="text-align:right;">
+bio03sd
+</th>
+<th style="text-align:right;">
+bio04sd
+</th>
+<th style="text-align:right;">
+bio05sd
+</th>
+<th style="text-align:right;">
+bio06sd
+</th>
+<th style="text-align:right;">
+bio07sd
+</th>
+<th style="text-align:right;">
+bio08sd
+</th>
+<th style="text-align:right;">
+bio09sd
+</th>
+<th style="text-align:right;">
+bio10sd
+</th>
+<th style="text-align:right;">
+bio11sd
+</th>
+<th style="text-align:right;">
+bio12sd
+</th>
+<th style="text-align:right;">
+bio13sd
+</th>
+<th style="text-align:right;">
+bio14sd
+</th>
+<th style="text-align:right;">
+bio15sd
+</th>
+<th style="text-align:right;">
+bio16sd
+</th>
+<th style="text-align:right;">
+bio17sd
+</th>
+<th style="text-align:right;">
+bio18sd
+</th>
+<th style="text-align:right;">
+bio19sd
+</th>
+<th style="text-align:right;">
+BLDFIE
+</th>
+<th style="text-align:right;">
+CECSOL
+</th>
+<th style="text-align:right;">
+CLYPPT
+</th>
+<th style="text-align:right;">
+CRFVOL
+</th>
+<th style="text-align:right;">
+ORCDRC
+</th>
+<th style="text-align:right;">
+PHIHOX
+</th>
+<th style="text-align:right;">
+SLTPPT
+</th>
+<th style="text-align:right;">
+SNDPPT
+</th>
+<th style="text-align:right;">
+BLDFIEsd
+</th>
+<th style="text-align:right;">
+CECSOLsd
+</th>
+<th style="text-align:right;">
+CLYPPTsd
+</th>
+<th style="text-align:right;">
+CRFVOLsd
+</th>
+<th style="text-align:right;">
+ORCDRCsd
+</th>
+<th style="text-align:right;">
+PHIHOXsd
+</th>
+<th style="text-align:right;">
+SLTPPTsd
+</th>
+<th style="text-align:right;">
+SNDPPTsd
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right;">
+926871
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+161.000
+</td>
+<td style="text-align:right;">
+12.00000
+</td>
+<td style="text-align:right;">
+82.0000
+</td>
+<td style="text-align:right;">
+4742.000
+</td>
+<td style="text-align:right;">
+236.0000
+</td>
+<td style="text-align:right;">
+89.0000000
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
+796.0000
+</td>
+<td style="text-align:right;">
+161.00000
+</td>
+<td style="text-align:right;">
+1.00000
+</td>
+<td style="text-align:right;">
+85.00000
+</td>
+<td style="text-align:right;">
+478.0000
+</td>
+<td style="text-align:right;">
+3.0000
+</td>
+<td style="text-align:right;">
+3.0000
+</td>
+<td style="text-align:right;">
+385.0000
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+1323.0000
+</td>
+<td style="text-align:right;">
+23.80000
+</td>
+<td style="text-align:right;">
+25.40000
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
+1.3416408
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
+4.615192
+</td>
+<td style="text-align:right;">
+0.4472136
+</td>
+<td style="text-align:right;">
+0.4472136
+</td>
+<td style="text-align:right;">
+1.2247449
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+654600
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+117.482
+</td>
+<td style="text-align:right;">
+74.00000
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
+5769.304
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
+12.5746692
+</td>
+<td style="text-align:right;">
+239.3459
+</td>
+<td style="text-align:right;">
+144.01323
+</td>
+<td style="text-align:right;">
+67.82420
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
+12.75992
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
+192.6711
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
+0.000000
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
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+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
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+</td>
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+</td>
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+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
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+</td>
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+</td>
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+</td>
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+</td>
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+</td>
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+</td>
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+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
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+</td>
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+</td>
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+</td>
+<td style="text-align:right;">
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+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1485922
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+NA
+</td>
+<td style="text-align:right;">
+112.000
+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
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+NA
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+NA
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+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+131079
+</td>
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+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
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+</table>
+</div>
+<div id="description-of-fields-4" class="section level2">
+<h2><span class="header-section-number">5.2</span> Description of fields</h2>
+<ol style="list-style-type: decimal">
+<li><code>PlotObservationID</code>: Plot ID, as in <code>header</code>.<br />
+<br> <strong>Elevation data</strong> - median and s.d.<br />
+</li>
+<li><code>Elevation_median</code>: Median elevation in a circle centered on plot location, having a radius of the plot’s <code>location uncertainty</code> (NA if &gt;50km).<br />
+</li>
+<li><code>Elevation_q2.5</code>: 2.5 percentile of elevation in a circle centered on plot location, having a radius of the plot’s <code>location uncertainty</code> (NA if &gt;50km).<br />
+</li>
+<li><code>Elevation_q97.5</code>: 97.5 percentile of elevation in a circle centered on plot location, having a radius of the plot’s <code>location uncertainty</code> (NA if &gt;50km).<br />
+</li>
+<li><code>Elevation_DEM.res</code>: Resolution of Digital Elevation Model used (in m).<br />
+<br> <strong>Bioclimatic Variables</strong> - Mean and s.d.<br />
+</li>
+<li><code>bio01</code>: Annual Mean Temperature<br />
+</li>
+<li><code>bio02</code>: Mean Diurnal Range<br />
+</li>
+<li><code>bio03</code>: Isothermality<br />
+</li>
+<li><code>bio04</code>: Temperature Seasonality<br />
+</li>
+<li><code>bio05</code>: Max Temperature of Warmest Month<br />
+</li>
+<li><code>bio06</code>: Min Temperature of Coldest Month<br />
+</li>
+<li><code>bio07</code>: Temperature Annual Range<br />
+</li>
+<li><code>bio08</code>: Mean Temperature of Wettest Quarter<br />
+</li>
+<li><code>bio09</code>: Mean Temperature of Driest Quarter<br />
+</li>
+<li><code>bio10</code>: Mean Temperature of Warmest Quarter<br />
+</li>
+<li><code>bio11</code>: Mean Temperature of Coldest Quarter<br />
+</li>
+<li><code>bio12</code>: Annual Precipitation<br />
+</li>
+<li><code>bio13</code>: Precipitation of Wettest Month<br />
+</li>
+<li><code>bio14</code>: Precipitation of Driest Month<br />
+</li>
+<li><code>bio15</code>: Precipitation Seasonality<br />
+</li>
+<li><code>bio16</code>: Precipitation of Wettest Quarter<br />
+</li>
+<li><code>bio17</code>: Precipitation of Driest Quarter<br />
+</li>
+<li><code>bio18</code>: Precipitation of Warmest Quarter<br />
+</li>
+<li><code>bio19</code>: Precipitation of Coldest Quarter<br />
+25-43 - Same as above, but standard deviations<br />
+<br> <strong>Soil Variables</strong> - Mean and s.d.<br />
+</li>
+<li><code>BLDFIE</code>: Bulk Density (fine earth) in kg/m3<br />
+</li>
+<li><code>CECSOL</code>: Cation Exchange capacity of soil<br />
+</li>
+<li><code>CLYPPT</code>: Clay mass fraction in %<br />
+</li>
+<li><code>CRFVOL</code>: Coarse fragments volumetric in %<br />
+</li>
+<li><code>ORCDRC</code>: Soil Organic Carbon Content in g/kg<br />
+</li>
+<li><code>PHIHOX</code>: Soil pH x 10 in H20<br />
+</li>
+<li><code>SLTPPT</code>: Silt mass fraction in %<br />
+</li>
+<li><code>SNDPPT</code>: Sand mass fraction in %<br />
+52-59 - Same as above, but standard deviations</li>
+</ol>
+</div>
+</div>
+<div id="sessioninfo" class="section level1">
+<h1><span class="header-section-number">6</span> SessionInfo</h1>
+<pre class="r"><code>sessionInfo()</code></pre>
+<pre><code>## R version 3.6.3 (2020-02-29)
+## Platform: x86_64-pc-linux-gnu (64-bit)
+## Running under: Ubuntu 16.04.7 LTS
+## 
+## Matrix products: default
+## BLAS:   /usr/lib/openblas-base/libblas.so.3
+## LAPACK: /usr/lib/libopenblasp-r0.2.18.so
+## 
+## locale:
+##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
+##  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
+##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
+##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
+##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
+## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
+## 
+## attached base packages:
+## [1] stats     graphics  grDevices utils     datasets  methods   base     
+## 
+## other attached packages:
+##  [1] kableExtra_1.3.1 knitr_1.30       forcats_0.5.0    stringr_1.4.0   
+##  [5] dplyr_1.0.2      purrr_0.3.4      readr_1.4.0      tidyr_1.1.2     
+##  [9] tibble_3.0.1     ggplot2_3.3.0    tidyverse_1.3.0 
+## 
+## loaded via a namespace (and not attached):
+##  [1] tidyselect_1.1.0  xfun_0.19         haven_2.3.1       colorspace_2.0-0 
+##  [5] vctrs_0.3.5       generics_0.1.0    htmltools_0.5.0   viridisLite_0.3.0
+##  [9] yaml_2.2.1        rlang_0.4.9       pillar_1.4.3      glue_1.4.2       
+## [13] withr_2.3.0       DBI_1.1.0         dbplyr_2.0.0      modelr_0.1.6     
+## [17] readxl_1.3.1      lifecycle_0.2.0   munsell_0.5.0     gtable_0.3.0     
+## [21] cellranger_1.1.0  rvest_0.3.6       evaluate_0.14     fansi_0.4.1      
+## [25] highr_0.8         broom_0.7.0       Rcpp_1.0.5        scales_1.1.1     
+## [29] backports_1.2.0   webshot_0.5.2     jsonlite_1.7.1    fs_1.5.0         
+## [33] hms_0.5.3         digest_0.6.25     stringi_1.5.3     grid_3.6.3       
+## [37] cli_2.2.0         tools_3.6.3       magrittr_2.0.1    crayon_1.3.4     
+## [41] pkgconfig_2.0.3   ellipsis_0.3.1    xml2_1.3.2        reprex_0.3.0     
+## [45] lubridate_1.7.9.2 assertthat_0.2.1  rmarkdown_2.5     httr_1.4.2       
+## [49] rstudioapi_0.13   R6_2.5.0          compiler_3.6.3</code></pre>
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