Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1038/s41597-025-04507-w
Licence creative commons licence
Title (Primary) BioVars - A bioclimatic dataset for Europe based on a large regional climate ensemble for periods in 1971–2098
Author Reichmuth, A. ORCID logo ; Rakovec, O. ORCID logo ; Boeing, F. ORCID logo ; Müller, S. ORCID logo ; Samaniego, L. ORCID logo ; Marx, A.; Komischke, H.; Schmidt, A.; Doktor, D.
Source Titel Scientific Data
Year 2025
Department CHS; RS
Volume 12
Page From art. 217
Language englisch
Topic T5 Future Landscapes
Data and Software links https://doi.org/10.5281/zenodo.14624171
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.
Reichmuth, A., Rakovec, O., Boeing, F., Müller, S., Samaniego, L., Marx, A., Komischke, H., Schmidt, A., Doktor, D. (2025):
BioVars - A bioclimatic dataset for Europe based on a large regional climate ensemble for periods in 1971–2098
Sci. Data 12 , art. 217 10.1038/s41597-025-04507-w