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Temperate local extinctions from climate change are outpacing tropical extinctions


Abstract

Climate change may soon cause a catastrophic loss of global biodiversity. For decades, tropical species have widely been considered more vulnerable than temperate species. However, some studies have suggested the opposite. Using a global-scale dataset from resurvey studies spanning 5,151 plant and animal species encompassing 39,157 sites, we show that climate-related local extinctions were significantly more frequent among temperate (49% of surveyed species) than tropical species (33%). We then tested whether these more frequent temperate extinctions were explained by greater sensitivity to warming among temperate species, by faster warming at higher latitudes, or both. We found that extinction probabilities increased significantly with the magnitude of recent warming in temperate regions, and that temperate species also showed a general trend towards higher sensitivity to warming. Overall, our findings challenge the long-held view that climate change more strongly impacts tropical species and suggest that temperate species are increasingly vulnerable.

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Fig. 1: Map of survey locations and overall patterns of local extinction for species included in the study.
The alternative text for this image may have been generated using AI.
Fig. 2: Warm-edge local extinction across habitats and taxonomic groups for tropical and temperate species, showing that extinctions are more frequent among temperate species than tropical species.
The alternative text for this image may have been generated using AI.
Fig. 3: Climatic drivers of warm-edge local extinctions.
The alternative text for this image may have been generated using AI.
Fig. 4: Increased temperate extinction explained by both greater sensitivity to warming among temperate species and greater warming in temperate regions.
The alternative text for this image may have been generated using AI.

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Data availability

The compiled dataset of species’ local extinction records, associated climate variables and metadata generated in this study are available via figshare at https://doi.org/10.6084/m9.figshare.25974661 (ref. 107) and are also provided in Supplementary Data 1–3. Original survey data were compiled from multiple published sources, and details of all contributing studies are provided in Supplementary Table 1. Climate data were obtained from the following publicly available global datasets: ERA5 from the Copernicus Climate Data Store (https://cds.climate.copernicus.eu), high-resolution climatologies from CHELSA (https://www.chelsa-climate.org/datasets/chelsa_daily), Climatic Research Unit (https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_4.07/) and the National Oceanic and Atmospheric Administration daily Optimum Interpolation Sea Surface Temperature (https://www.ncei.noaa.gov/data/sea-surface-temperature-optimum-interpolation/v2.1/access/avhrr/). Land-cover data were obtained from the European Space Agency Climate Change Initiative Land Cover (https://cds.climate.copernicus.eu) and HILDA+ datasets (https://doi.org/10.1594/PANGAEA.921846). Additional biodiversity and species distribution data were obtained from publicly available sources, including GBIF (https://www.gbif.org/), International Union for Conservation of Nature (https://iucn.org/) and FishBase (https://www.fishbase.se/). Source data are provided with this paper.

Code availability

The R codes used for downscaling climate data and statistical analyses are available via figshare at https://doi.org/10.6084/m9.figshare.25974661 (ref. 107).

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Acknowledgements

We are grateful to the researchers who carried out the original surveys and resurveys, without which our study would not have been possible. We thank the following researchers for kindly sharing their survey data with us: M. Campos-Cerqueira, K. J. Feeley, B. G. Freeman, K. J. Iknayan, J. M. Kerner, J. J. Kirchman, S. B. Rumpf, N. Sillero, A. M. Van Tatenhove and S. Zorio. We also thank J. Lenoir for his feedback on an earlier version of the paper. We acknowledge the University of Arizona’s High-Performance Computing facility for providing computational resources.

Funding

This work was funded by a Fulbright-Kalam Postdoctoral Fellowship awarded to G.M. through the US-India Educational Foundation (USIEF) and was also partly supported by the DST–INSPIRE Faculty Award (DST/INSPIRE/04/2023/001823) to G.M.

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Authors

Contributions

The study was conceptualized by G.M. and J.J.W., who also acquired funding and administered the project. Methodology was developed by G.M., D.N.K. and J.J.W. G.M. carried out the investigation, performed the visualization and wrote the original draft of the paper. J.J.W. supervised. All three authors contributed to revisions and editing.

Corresponding author

Correspondence to
Gopal Murali.

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The authors declare no competing interests.

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Nature Climate Change thanks I-Ching Chen, Michael Moore and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Extended data

Extended Data Fig. 1 Local extinctions are more frequent among temperate species than tropical species under the stringent criterion for species inclusion.

The analysis included n = 4,425 species across habitats and taxonomic groups. The percentage of warm-edge local extinction across habitats and taxonomic groups for tropical (red) and temperate (blue) species are shown. (a) The percentage of local extinction as a half-pie chart for species across habitats and major groups within each zone. (b and c) The percentage of warm-edge local extinctions per site. The percentage is calculated as the number of species that had warm-edge local extinction at that site divided by the total number of species with their warm-edge range limits at that site. Note that the actual number of species present at each site might be higher than the number of species having warm-edge range limits there. Statistical significance was assessed using GLMMs. All tests were two-sided. P values were adjusted for multiple comparisons using the false discovery rate method. Significance is indicated as: ns=Padj > 0.05; *=Padj > 0.01; ***=Padj < 0.01. For full statistical analysis results, see Supplementary Tables 18–31, and Supplementary Methods section ‘Sensitivity analyses for temperate versus tropical local extinctions under the stringent criterion’. Credit: silhouettes in a, Phylopic under a Creative Commons license CC0 1.0. 

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Extended Data Fig. 2 Local extinctions are more frequent among temperate species than tropical species after accounting for differences in survey efforts.

The analysis included n = 3,996 species across habitats and taxonomic groups, using only studies with identical or greater resurvey effort (n = 35 studies; see Supplementary Methods section ‘Sensitivity analyses for differences in survey efforts’). Analyses of terrestrial insects were not shown because data from tropical regions were entirely lacking after filtering for comparable resurvey effort. The percentage of warm-edge local extinction across habitats and taxonomic groups for tropical (red) and temperate (blue) species are shown. (a) The percentage of local extinction as a half-pie chart for species across habitats and major groups within each zone. (b and c) The percentage of warm-edge local extinctions per site. The percentage is calculated as the number of species that had warm-edge local extinction at that site divided by the total number of species with their warm-edge range limits at that site. Note that the actual number of species present at each site might be higher than the number of species having warm-edge range limits there. Statistical significance was assessed using GLMMs. All tests were two-sided. P values were adjusted for multiple comparisons using the false discovery rate method. Significance is indicated as: ns=Padj > 0.05; *=Padj > 0.01; ***=Padj < 0.01. For full statistical analysis results, see Supplementary Tables 32–44. Credit: silhouettes in a, Phylopic under a Creative Commons license CC0 1.0. 

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Extended Data Fig. 3 Robustness of latitudinal patterns in warm-edge local extinctions under group-mean-centering analyses.

Coefficients from GLMMs in which latitude is decomposed into between-study and within-study components using a group-mean-centering approach. The analysis included n = 5,119 species across habitats and taxonomic groups (n = 56 studies; see Supplementary Methods section ‘Sensitivity analyses using the group-mean-centering approach’). Panels show the between-study latitude effect only. Results are shown at the (a) species-level and (b) site-level. All species-level models used the full hierarchical nested random-effects structure to account for non-independence among studies, blocks, and sites (1|Study_ID/Block_ID/Site_ID), and included taxonomic random effects (1|Family/Genus). Site-level models included (1 | Study_ID/Block_ID) random effects. Model coefficient estimates are shown as circles, and the 95% CIs are shown as lines. Statistically significant coefficients are shown in black, and nonsignificant coefficients are shown in grey. All tests were two-sided. P values are adjusted for false discovery rate. Results are consistent with the main species-level and site-level analyses (Main Fig. 2), confirming that the global latitudinal gradient in warm-edge extinction is robust to study-level clustering and taxonomic structure. For full statistical analysis results, see Supplementary Tables 45–58. Credit: silhouettes in a, Phylopic under a Creative Commons license CC0 1.0. 

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Extended Data Fig. 4 Null-model resampling of background local extinctions at the species level and site level.

(a) Distributions of resampled background local extinction percentages (100,000 resampled replicates) for tropical (left; n = 584) and temperate (right; n = 2,274) species. Vertical lines indicate the observed percentage of warm-edge local extinctions in each region for species included in this analysis (584 tropical and 2,274 temperate species). In both cases, the observed values exceed the upper 95% quantile of the resampled distributions (that is, background local extinctions; P value in the top left corner), indicating that warm-edge extinctions occurred more frequently than expected from the resampled background extinctions. (b) Percentage of sites for which the observed warm-edge local extinction percentage exceeded the 95th percentile of the corresponding resampled background extinction distribution for that site. (c) Violin plot of the median of site-level resampled background extinction percentages (that is, from 100,000 resampled replicates per site) across tropical and temperate sites. Median values are represented by black diamonds. The percentage of local extinctions is colored by region: tropical (red) and temperate (blue). See Supplementary Methods section ‘Null-model resampling of background local extinction’. Note that many species were excluded from these analyses because they occur only at a single site (that is, have no background sites). 

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Extended Data Fig. 5 Relationship between amount of warming and background local extinctions among species and sites.

(a) Species-level model coefficient estimates testing the relationship between the probability of background local extinction and the amount of warming in BIO1 (ΔBIO1) at these sites, comparing tropical and temperate species. (b) Site-level model coefficient estimates testing the relationship between site-level background local extinction frequency and ΔBIO1 for these sites, comparing tropical and temperate sites. In both panels, colored distributions represent observed estimates (that is, based on observed background local extinctions), and white distributions represent randomised (null) estimates (that is, based on randomised background local extinctions). The percentage of background local extinctions is colored by region: tropical (red) and temperate (blue). Positive values indicate higher background extinction probabilities under greater warming. Overlap with zero indicates no association between extinction and warming. Each point represents a randomised replicate (n = 10,000 randomisations). See also Supplementary Methods section ‘Linking background local extinction to climate change’.

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Extended Data Fig. 6 Cool-edge local extinction is more frequent among temperate than tropical species.

Results are based on the analysis of species included under the stringent criterion (for the cool-edge) with usable data on cool-edge persistence and extinction over time (n = 3,196 species; see Supplementary Methods). The percentage of cool-edge local extinction across habitats and taxonomic groups for tropical (red) and temperate (blue) species are shown. (a) The percentage of local extinction is shown as a half-pie chart for species across habitats and major groups within each zone. (b and c) The percentage of cool-edge local extinctions per site. The percentage is calculated as the number of species that had cool-edge local extinction at that site divided by the total number of species with their cool-edge range limits at that site. Note that the actual number of species present at each site can be higher than the number of species having cool-edge range limits there. Statistical significance was assessed using GLMMs. All tests were two-sided. P values were adjusted for multiple comparisons using the false discovery rate method. Significance is indicated as: ns=Padj > 0.05; *=Padj > 0.01; ***=Padj < 0.01. For full statistical analysis results, see Supplementary Tables 59–72, and Supplementary Methods section ‘Cool-edge local extinction across latitude’. Credit: silhouettes in a, Phylopic under a Creative Commons license CC0 1.0. 

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Extended Data Fig. 7 The percentage of species with cool-edge range expansion.

The results are presented across habitats and taxonomic groups, shown separately for tropical (red) and temperate (blue) species. Results are based on the analysis of species included under the stringent criterion with usable data on cool-edge expansion (n = 3,196 species; see Supplementary Methods section ‘Cool-edge expansions across latitude’). The percentages of species with cool-edge range expansion are shown as lollipop plots for all species (a), in terrestrial, freshwater, and marine habitats (b), and for major taxonomic groups within each habitat (c). P values are from GLMM likelihood-ratio tests for the latitude effect, using the same model structure as in the warm-edge extinction analysis. All tests were two-sided. P values are adjusted for false discovery rate (Padj). 

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Extended Data Fig. 8 Extent of land-use change surrounding survey sites across multiple spatial scales.

Extent of land use changes per site (% of area within circular buffers) across three spatial scales for 32,075 non-marine sites. Lollipop plots indicate the percentage of sites that showed visible land-use change across defined bins for different buffer distances. (a) 564 m radius (~1 km2), (b) 2 km radius (~12.57 km2), and (c) 5 km radius (~78.54 km2). Land use change is grouped into six bins representing increasing levels of transformation within each buffer. The values on top of the line segments represent the number of sites, with the percentage of sites in parentheses. Note that a 564 m buffer radius was used to match the resolution of the different land-use data we used based on the survey start and end years (more details in Supplementary Methods section ‘Supplementary data validation and verification’).

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Extended Data Fig. 9 Study-level covariates show no systematic influence on reported warm-edge local extinctions.

Relationships between study-level covariates and the percentage of warm-edge local extinctions reported per study. Panels show (ab) median elevational resolution of survey sites, (cd) survey plot or transect area (log10-scaled), (ef) number of sites surveyed (log10-scaled), and (gh) number of species surveyed (log10-scaled). Left plots show all studies combined under liberal criterion, right plots show separate regressions for temperate and tropical studies. The R2 and P values (from simple linear regression) are given at the top of the panel. The red dashed line represents the fit of a linear regression model with 95% CIs as grey shading. Across all covariates, regression slopes were shallow and non-significant (all P > 0.05), indicating that methodological variation among studies did not systematically affect warm-edge local extinction estimates or the observed latitudinal pattern in warm-edge local extinctions. See Supplementary Figures 8–11 for results under the stringent criterion for including species, and Supplementary Methods section ‘Study-level covariate analyses’.

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Supplementary information

Supplementary Information (download PDF )

Supplementary Methods, Text, Figs. 1–21, Tables 1–82 and References.

Reporting Summary (download PDF )

Supplementary Data 1 (download XLSX )

Data on local extinction for all 5,151 species.

Supplementary Data 2 (download XLSX )

Local extinction data based on all 1,610 sites included.

Supplementary Data 3 (download XLSX )

Estimated climate and climate change for each species at their warmest-edge site.

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Source Data Fig. 1 (download XLSX )

Source data on species-level warm-edge local extinctions.

Source Data Fig. 2 (download XLSX )

Source data on species-level and site-level warm-edge local extinctions.

Source Data Fig. 3 (download XLSX )

Statistical source data for model estimates of climatic drivers of warm-edge local extinctions.

Source Data Fig. 4 (download XLSX )

Source data for the estimated climate change for each species.

Source Data Extended Data Fig. 1 (download XLSX )

Source data for species-level warm-edge local extinctions, including a column indicating the stringency criterion.

Source Data Extended Data Fig. 2 (download XLSX )

Source data for species-level warm-edge local extinctions, including sampling effort comparability classification.

Source Data Extended Data Fig. 3 (download XLSX )

Statistical source data from group-mean-centering GLMM analyses.

Source Data Extended Data Fig. 4 (download XLSX )

Source data for null-model resampling of background local extinctions.

Source Data Extended Data Fig. 5 (download XLSX )

Statistical source data for model estimates of relationships between background local extinctions and warming.

Source Data Extended Data Fig. 6 (download XLSX )

Source data on species-level and site-level cool-edge local extinctions.

Source Data Extended Data Fig. 7 (download XLSX )

Source data for latitudinal patterns in cool-edge dispersal.

Source Data Extended Data Fig. 8 (download XLSX )

Source data for site-level land-use change across multiple spatial scales.

Source Data Extended Data Fig. 9 (download XLSX )

Source data for study-level covariate effects on study-level warm-edge local extinctions.

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Murali, G., Karger, D.N. & Wiens, J.J. Temperate local extinctions from climate change are outpacing tropical extinctions.
Nat. Clim. Chang. (2026). https://doi.org/10.1038/s41558-026-02669-y

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