Evidence map›Paper›PMID 42436832›Full record

ArticleData in brief2026

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

Anna Wöhlbrandt, Anabel Onay, Ute Bachmann-Gigl, Wolfgang Falk, Christian Temperli, Samuel Aspalter, Debojyoti Chakraborty, Silvio Schüler, Johannes Breidenbach, Jonas Fridman and 6 more

Abstract read
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Anna WöhlbrandtLandesforstanstalt Mecklenburg-Vorpommern, Department of Forest Planning/Forest Research/Information Systems, Research Unit Silviculture and Forest Growth, Zeppelinstrasse 3, 19061 Schwerin, Germany.
Anabel OnayTUM Technical University of Munich, Alte Akademie 8, 85354 Freising, Germany.
Ute Bachmann-GiglLWF Bavarian State Institute of Forestry, Hans-von-Carlowitz-Platz 1, 85354 Freising, Germany.
Wolfgang FalkLWF Bavarian State Institute of Forestry, Hans-von-Carlowitz-Platz 1, 85354 Freising, Germany.
Christian TemperliSwiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland.
Samuel AspalterBFW Austrian Research Centre for Forests, Seckendorff-Gudent-Weg 8, A-1131 Wien, Austria.
Debojyoti ChakrabortyBFW Austrian Research Centre for Forests, Seckendorff-Gudent-Weg 8, A-1131 Wien, Austria.
Silvio SchülerBFW Austrian Research Centre for Forests, Seckendorff-Gudent-Weg 8, A-1131 Wien, Austria.
Johannes BreidenbachNIBIO Norwegian Institute of Bioeconomy Research, Division of Forest and Forest Resources, Høgskolevegen 8, 1431 ÅS, Norway.
Jonas FridmanSLU Swedish University of Agricultural Sciences, Department of Forest resource management, SE-901 83 Umeå, Sweden.
Miriam Isaac-RentonPacific Forestry Centre, Canadian Forest Service, Natural Resources Canada, 506 Burnside Road West, Victoria, Canada.
Vladimír ŠebeňNational Forest Centre, T.G.Masaryka 22, 96001, Zvolen, Slovakia.
Mitja SkudnikUniversity of Ljubljana, Biotechnical faculty, Jamnikarjeva 101, 1000 Ljubljana, Slovenia.
Tzvetan ZlatanovInstitute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, 2 Gagarin Street, 1113 Sofia, Bulgaria.
Dominik ThomChair of Silviculture, Institute of Silviculture and Forest Protection, TUD Dresden University of Technology, Pienner Strasse 8, 01737 Tharandt, Germany.
Eric A ThurmLandesforstanstalt Mecklenburg-Vorpommern, Department of Forest Planning/Forest Research/Information Systems, Research Unit Silviculture and Forest Growth, Zeppelinstrasse 3, 19061 Schwerin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amid increasing temperatures and extended drought periods, forest managers require comprehensive information regarding the suitability of various tree species under changing climatic conditions. To address this need, we assembled a unique dataset spanning Europe, incorporating multiple data sources such as national forest inventories, forest management plans, and data from ICP Forests. Our database ultimately included over six million individual trees across 860,000 forest plots throughout Europe. Using this extensive dataset, we developed Species Distribution Models (SDM) for 30 and Site Index Models (SIM) for 25 European tree species, the latter limited by data availability. Both model types were used to generate predictions at a spatial resolution of 1 × 1 km for the periods 2011-2040, 2041-2070, and 2071-2100 under climate change scenarios RCP2.6, RCP4.5 and RCP8.5. The model predictions aim to estimate the top height and assess climate suitability across Europe under future climate conditions. One potential application of these models is in a decision support system (DSS) to inform tree species selection and management strategies in the context of climate change. Provided are the models, prediction outputs, and supporting information, as the underlying database is restricted by data use agreements.

Indexed as

Climate changeClimate suitabilityEuropeReforestationSite index modelSpecies distribution modelTop heightTree species selection

Identifiers

PMID42436832
PMCPMC13355197

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.