Climate vulnerability of Earth’s terrestrial biomes

Climate-smart restoration and sustainable ecosystem management requires understanding which plant species will survive and thrive under both current and future climate conditions. Changing climate conditions are expected to place new environmental stresses on plants across biomes, potentially shifting the climate envelope, with unexpected consequences for ecological communities. Here, we train machine learning models on the global distribution of Earth's biomes, demonstrating that soil and climate can accurately capture contemporary biome-climate envelopes (BCEs) with 90% accuracy. We then predict how changes in climate might alter BCEs under different climate change scenarios (RCP 4.5 and 8.5). We find that 11-17% of the terrestrial surface is likely to experience a change in BCE by 2080 and 16-19% has a highly uncertain BCE trajectory over the coming decades. BCE boundaries generally shift poleward, with the tundra BCE shrinking by up to 47% under RCP 8.5, and various dryland BCEs overall increasing under RCP 8.5. These models do not necessarily reflect changes in vegetation characteristics under future climate conditions, as uncertainty about ecological feedbacks and migration rates preclude our capacity to predict how climate variation would impact these vegetation dynamics. However, we identify regions where changing climate conditions might make the local environments stressful for the vegetation that presently exists in those regions.

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Publication Details

Journal
Scientific Reports
Published
2025-09-26
DOI
https://doi.org/10.1038/s41598-025-16452-0
Primary Topic
Geology and Paleoclimatology Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Climate vulnerability of Earth’s terrestrial biomes

Devin Routh, Constantin M. Zohner, Johan van den Hoogen, Daniel S. Maynard et al.
Scientific Reports
Geology and Paleoclimatology Research
article

Climate vulnerability of Earth’s terrestrial biomes

Devin Routh, Constantin M. Zohner, Johan van den Hoogen, Daniel S. Maynard, Katharina Runge, Colin Averill, T. Bruce Lauber, Thomas Ward Crowther, Thomas Koch
article en

Abstract

Climate-smart restoration and sustainable ecosystem management requires understanding which plant species will survive and thrive under both current and future climate conditions. Changing climate conditions are expected to place new environmental stresses on plants across biomes, potentially shifting the climate envelope, with unexpected consequences for ecological communities. Here, we train machine learning models on the global distribution of Earth's biomes, demonstrating that soil and climate can accurately capture contemporary biome-climate envelopes (BCEs) with 90% accuracy. We then predict how changes in climate might alter BCEs under different climate change scenarios (RCP 4.5 and 8.5). We find that 11-17% of the terrestrial surface is likely to experience a change in BCE by 2080 and 16-19% has a highly uncertain BCE trajectory over the coming decades. BCE boundaries generally shift poleward, with the tundra BCE shrinking by up to 47% under RCP 8.5, and various dryland BCEs overall increasing under RCP 8.5. These models do not necessarily reflect changes in vegetation characteristics under future climate conditions, as uncertainty about ecological feedbacks and migration rates preclude our capacity to predict how climate variation would impact these vegetation dynamics. However, we identify regions where changing climate conditions might make the local environments stressful for the vegetation that presently exists in those regions.

Scientific ReportsVol. 15(1)
University of Zurich (CH), ETH Zurich (CH), University College London (GB)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 69%
Geology and Paleoclimatology Research
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