BioVars - A bioclimatic dataset for Europe based on a large regional climate ensemble for periods in 1971–2098

Ongoing ecological research is concerned with analysing climate-induced changes in species distribution. For this purpose, the projection must have high-quality bioclimatic variables from historical and future climatic periods for the projection. To date, there are many global bioclimatic variables on this topic. Nevertheless, a consistent dataset with identical model variables from historic and projected periods is rare. We present 26 bioclimatic variables that are calculated based on a large ensemble consisting of 70 bias-adjusted GCM-RCM simulations for 1971-2098. Both, the historic and the projection periods were calculated using the same models to ensure consistency between the periods. The variables are validated against E-OBS observations from which we calculated the same bioclimatic variables. For projection periods we chose 20 year ranges between 2021-2098. Here, we offer two versions of them: (1) variables separated into RCP 2.6, 4.5 and 8.5, including percentiles among the realisations and within the RCPs; and (2) variables per realisation separately. We then extracted the temporal 5th, 50th and 95th percentile per period as representing values.

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Publication Details

Journal
Scientific Data
Published
2025-02-05
DOI
https://doi.org/10.1038/s41597-025-04507-w
Citations
3
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
5.51

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article

BioVars - A bioclimatic dataset for Europe based on a large regional climate ensemble for periods in 1971–2098

Oldřich Rakovec, Holger Komischke, Andreas Schmidt, Andreas Marx et al.
3 citations
Scientific Data
Species Distribution and Climate Change
5.51
article

BioVars - A bioclimatic dataset for Europe based on a large regional climate ensemble for periods in 1971–2098

Oldřich Rakovec, Holger Komischke, Andreas Schmidt, Andreas Marx, Friedrich Boeing, Anne Reichmuth, Sebastian Müller, Daniel Doktor, Luis Samaniego
article en
3 citations

Abstract

Ongoing ecological research is concerned with analysing climate-induced changes in species distribution. For this purpose, the projection must have high-quality bioclimatic variables from historical and future climatic periods for the projection. To date, there are many global bioclimatic variables on this topic. Nevertheless, a consistent dataset with identical model variables from historic and projected periods is rare. We present 26 bioclimatic variables that are calculated based on a large ensemble consisting of 70 bias-adjusted GCM-RCM simulations for 1971-2098. Both, the historic and the projection periods were calculated using the same models to ensure consistency between the periods. The variables are validated against E-OBS observations from which we calculated the same bioclimatic variables. For projection periods we chose 20 year ranges between 2021-2098. Here, we offer two versions of them: (1) variables separated into RCP 2.6, 4.5 and 8.5, including percentiles among the realisations and within the RCPs; and (2) variables per realisation separately. We then extracted the temporal 5th, 50th and 95th percentile per period as representing values.

Scientific DataVol. 12(1)
Helmholtz Centre for Environmental Research (DE), University of Potsdam (DE), Norsk Hydro (Germany) (DE), Czech University of Life Sciences Prague (CZ), German Centre for Integrative Biodiversity Research (DE), Leipzig University (DE)
Bundesministerium für Bildung und Forschung, Helmholtz Association
Climate action
Openalex Percentile: Top 6%
Species Distribution and Climate Change
5.51
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