Supplementary data from: Current and past climate co-shape community-level plant species richness in the Western Siberian Arctic

The Arctic ecosystems and their species are exposed to amplified climate
warming and, in some regions, to rapidly developing economic activities.
We used macroecological modeling to estimate the community-level species
richness across the Western Siberian tundra, with climate variables and
anthropogenic influence identified as main explanatory factors. Our
results reveal complex spatial patterns of community-level species
richness in the Western Siberian Arctic. We show that climatic factors
such as temperature (including paleotemperature) and precipitation are the
main drivers of plant species richness in this area, and the role of
relief is clearly secondary. Here we present a supplementing dataset to
the analysis of our paper “Current and past climate co-shape
community-level plant species richness in the Western Siberian Arctic”
(https://doi.org/10.1002/ece3.11140). Our research is based on the Western
Siberian part of the Russian Arctic Vegetation Archive (AVA-RUS,
http://avarus.space), with 1483 Braun-Blanquet plots observed from
2005-2018. The dataset contains geolocated species richness data along
with sampled raster data on environmental and anthropogenic predictors
used for modeling. The scripts are used for paleoclimatic data sampling;
testing univariate predictive performance and limited collinearity for all
predictors; fitting four different modes: random forest, gradient boosting
machine, generalized linear model, and generalized additive model; their
validation and projection. Detailed information regarding the data
structure and the applied methods could be found in the paper.