Evidence map›Paper›PMID 42619481›Full record

ArticleGlobal change biology2026

Future Projections of Burned Area in Europe Highlight the Importance of Human Action.

Maik Billing, Matthew Forrest, Simon P K Bowring, Luke Oberhagemann, Alex N Neidermeier, Jessica Hetzer, Werner von Bloh, Christoph Müller, Susanne Rolinski, Thomas Hickler and 1 more

Abstract read
In one paragraph

Article in Global change biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Maik BillingPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID 0000-0001-7315-7007
Matthew ForrestSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany.ORCID 0000-0003-1858-3489
Simon P K BowringLaboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL-CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France.ORCID 0000-0002-0041-0937
Luke OberhagemannPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.
Alex N NeidermeierEnvironmental Geography Group, Institute for Environmental Studies (IVM), VU University Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0001-7100-7814
Jessica HetzerSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany.ORCID 0000-0002-2384-0024
Werner von BlohPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID 0000-0002-7399-2704
Christoph MüllerPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID 0000-0002-9491-3550
Susanne RolinskiPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.
Thomas HicklerSenckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany.ORCID 0000-0002-4668-7552
Kirsten ThonickePotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.ORCID 0000-0001-5283-4937

Funding

Deutsche Forschungsgemeinschaft GRK 2043/2Ministry of Research, Science and Culture (MWFK) of Land Brandenburg 22-Z105-05/002/001
6 · The paper itself

Abstract

Wildfires are often a natural part of many European ecosystems, but human activities through land use, other socio-economic factors and climate change have significantly changed how fires behave. Anthropogenic climate change is already intensifying fire-prone weather and increasing wildfire risk across Europe with risk expected to grow sharply in coming decades. Past experience suggests that human action, such as fuel management and improved fire suppression capacity, can reduce wildfire spread and intensity. However, whether current or future efforts can counter rising risks under continued climate change remains uncertain. In this study, we assess the role of socio-economic factors and biophysical factors in shaping future fire regimes across Europe. Using two fire models (SPITFIRE and BASE) coupled with the fire-enabled Dynamic Global Vegetation Model LPJmL, we simulate future burned area under two socio-economic and greenhouse gas concentration pathways (SSP1-2.6 and SSP3-7.0). We also run experiments where socio-economic factors are held constant to isolate their influence. Our findings show that both biophysical and socio-economic factors strongly affect future wildfire activity. Fire weather and fire management capacity are important drivers, while population density, vegetation shifts and land use matter more at regional scales. By the end of the century, intensified fire weather alone could increase annual burned area by approximately +39% under a low emission scenario (SSP1-2.6) and by nearly +192% under a high emission scenario (SSP3-7.0). Continued improvements in fire management capacity could substantially moderate these increases, reducing burned area by 72%-92% compared to scenarios without these improvements. However, under strong climate change, fire activity still rises in about 55% of Europe's fire prone regions, even if investments in fire management capacity continue at current levels. Overall, improved wildfire management capacity has the potential to greatly limit impacts of worsening fire weather, but may not fully offset strong climate change impacts.

Indexed as

Climate ChangeFiresHuman ActivitiesModels, TheoreticalWildfiresConservation of Natural ResourcesEcosystemEuropeForecastingHumansSocioeconomic Factorsburned areaclimate changecoupled fire‐vegetation modellingEuropefire weathersocio‐economicswildfires

Identifiers

PMID42619481
PMCPMC13491018

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.