Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
versions View all 3 versions
addClaim

Pan-European maps and models of current and future tree species distributions and their growth potential

Authors: Wöhlbrandt, Anna; Onay, Anabel; Bachmann-Gigl, Ute; Falk, Wolfgang; Temperli, Christian; Aspalter, Samuel; Chakraborty, Debojyoti; +8 Authors

Pan-European maps and models of current and future tree species distributions and their growth potential

Abstract

Dataset Overview This dataset provides Site Index Models (SIM) and Species Distribution Models (SDM), along with their respective predictions, for major European tree species. Developed to support forest management under a changing climate, the dataset projects species suitability and growth potential across multiple time horizons and climate scenarios. Data Coverage & Structure Site Index Models (SIM): Models and predictions for 25 European tree species. Species Distribution Models (SDM): Models and predictions for 30 European tree species. Temporal Coverage & Climate Scenarios Predictions are provided for four distinct time slices based on RCP4.5 and RCP8.5 Representative Concentration Pathways: Reference Period: 1981–2010 Future Periods: 2011–2040, 2041–2070, and 2071–2100 Methodology A detailed description of the modeling framework, data inputs, and validation methods can be found in Anna Wöhlbrandt, Anabel Onay, Ute Bachmann-Gigl, Wolfgang Falk, Christian Temperli, Samuel Aspalter, Debojyoti Chakraborty, Silvio Schüler, Johannes Breidenbach, Jonas Fridman, Miriam Isaac-Renton, Vladimír Šebeň, Mitja Skudnik, Tzvetan Zlatanov, Dominik Thom, Eric A Thurm,Pan-European maps and models of current and future tree species distributions and their growth potential,Data in Brief, 2026, 113027, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2026.113027.(https://www.sciencedirect.com/science/article/pii/S2352340926005718). Project Funding & Acknowledgments This dataset was developed within the framework of the EVA Project (Evidence-based tree species recommendations under climate change, 2021–2024). The project was funded by the Forest Climate Fund (Waldklimafonds) via the German Federal Ministry of Food and Agriculture (Bundesministerium für Ernährung und Landwirtschaft, BMEL) and the German Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz, BMUV).

Keywords

Europe, climate suitability, site index model, climate change, species distribution model, top height, tree species selection, reforestation

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average