Variables, description, unit and data types in "eva_data_merged_for_publication.csv":

longitude - longitude coordinates, double
latitude - latitude coordinates, double
year - year when the vegetation survey was conducted, integer
prop_sis_reflected - Proportion of reflected irradiation, double
et - Evapotranspiration (in kg per square meter and year), double
npp - net primary productivity (in kg carbon per square meter and year), double
eunis_class1 - habitat according to level 1 EUNIS classification, character
eunis_class2 - habitat according to level 2 EUNIS classification, character

For 19 plant traits below, we report the community-weighted mean values ("CWM_" prefix) and community-weighted variance values ("CWV_" prefix):

LDMC - dry leaf matter content (in g per g), double
Leaf_delta_15N - leaf nitrogen isotope signature (per million parts), double
LeafArea_leaf_undef - leaf area (in case of compound leaves: leaf, undefined if petiole in- or excluded, in square millimeter), double
LeafC_perdrymass - leaf carbon content per leaf dry mass (in mg per g), double
LeafCN_ratio - leaf carbon to nitrogen ratio (in g per cubic cm), double
LeafDryMass_single - leaf dry mass (single leaf, in mg), double
Leaffreshmass - leaf fresh mass (in g), double
LeafN - leaf nitrogen content per leaf dry mass (in mg per g), double
LeafP - leaf phosphorus content per leaf dry mass (in mg per g), double
LeafThickness - leaf thickness (in mm), double
LeafWaterCont - leaf water content per leaf dry mass (not saturated, in g(wet mass) per g(dry mass)), double
PlantHeight - plant height (vegetative + generative, in m)
RootingDepth - rooting depth (in m), double
SLA - leaf area per leaf dry mass (specific leaf area in mg per mm), double
SpecificRootLength - root length per root dry mass (specific root length, in cm per g), double
Stem.cond.dens - stem conduit density (vessels and tracheids in square mm), double
StemConduitDiameter - stem conduit diameter (vessels, tracheids, in micrometer), double
StemDens - stem specific density or wood density (stem dry mass per stem fresh volume in g per cubic meter), double
StemDiam - stem diameter (in m), double

chelsa_cmi - CHELSA climate moisture index (in kg per square meter and month), double
chelsa_gsl - CHELSA growing season length (in number of days), double
chelsa_gsp - CHELSA growing season precipitation (in kg per square meter and growing season leangth), double
chelsa_gst - CHELSA growing season temperature (in C°), double
chelsa_npp - CHELSA potential net primary productivity (in g C per square meter and year), double
chelsa_pet - CHELSA potential evapotranspiration (in kg per square meter and month), double
chelsa_rsds - CHELSA surface downwelling shortwave radiation (in MJ per sqaure meter and day), double
chelsa_sfcWind - CHELSA near-surface wind speed (in meter per second), double
chelsa_swb - CHELSA soil water balance (in kg per square meter and year), double

bio_01-bio_19 - CHELSA bioclimatic variables

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Please reference the following articles, from which the data was compiled:

Kambach, S. et al. (2024). Climate regulation processes are linked to the functional composition of plant communities in European forests, shrublands, and grasslands. Global Change Biology.
Bruelheide et. al (2018): Global trait-environment relationships of plant communities. Nat Ecol Evol 2 (12), 1906–1917. DOI: 10.1038/s41559-018-0699-8.
Bruelheide et al.(2019): sPlot – A new tool for global vegetation analyses. J Veg Sci 30 (2), 161–186. DOI: 10.1111/jvs.12710.
Brun et al. (2022): Global climate-related predictors at kilometre resolution for the past and future. Earth Sys Sci Data 24 (12), 5573–5603. DOI: 10.5194/essd-14-5573-2022.
Chytrý et al. (2016): European Vegetation Archive (EVA): an integrated database of European vegetation plots. Appl Veg Sci 19 (1), 173–180. DOI: 10.1111/avsc.12191.
Chytrý et al. (2020): EUNIS habitat classification: Expert system, characteristic species combinations and distribution maps of European habitats. Appl Veg Sci 23 (4), 648–675. DOI: 10.1111/avsc.12519.
Chytrý et al. (2021): EUNIS-ESy, version 2021-06-01. DOI: 10.5281/zenodo.4812736.
Karger et al. (2017): Climatologies at high resolution for the earth’s land surface areas. Scientific Data 4, 170122. DOI: 10.1038/sdata.2017.122.
Karger et al. (2018): Data from: Climatologies at high resolution for the earth’s land surface areas.  DOI: 10.16904/envidat.228.v2.1
Kattge et al. (2020): TRY plant trait database - enhanced coverage and open access. Glob Chang Biol 26 (1), 119–188. DOI: 10.1111/gcb.14904.
Pfeifroth et al. (2019): Surface Radiation Data Set - Heliosat (SARAH) - Edition 2.1.
Running et al. (2019): MOD17A3HGF MODIS/Terra Net Primary Production Gap-Filled Yearly L4 Global 500 m SIN Grid V006.
Running et al. (2021): MODIS/Terra Net Evapotranspiration Gap-Filled Yearly L4 Global 500m SIN Grid V061.
Schaaf & Wang (2015): MCD43A3 MODIS/Terra+Aqua BRDF/Albedo Daily L3 Global - 500m V006.

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Correspondence to: Stephan Kambach stephan.kambach@gmail.com

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