Red List criteria underestimate climate-related extinction risk of range-shifting species

2025 · doi:10.1101/2025.08.20.671260
preprint OA: closed
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The paper evaluates how well the IUCN Red List guidelines estimate climate-related extinction risk, by simulating “virtual species” with diverse life-history traits and different patterns of range change using species distribution models (SDMs) and spatially explicit population models (SEPMs). It finds that SDMs consistently underestimate extinction risk for range-shifting species, attributing this to a concave relationship between population size and habitat loss that conflicts with the guidelines’ linear assumption, while range-contracting species receive adequate warning times. SEPM-based probabilistic extinction estimates provide delayed warning for all species, especially those already highly threatened. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Climate change causes global species redistribution and elevates extinction risk, making early identification of vulnerable species critical for timely conservation. The IUCN Red List provides guidelines for assessing climate-related extinction risk using species distribution models (SDMs) and spatially explicit population models (SEPMs). However, a systematic evaluation of these guidelines is currently missing. Using simulations of virtual species with diverse life-history traits and range dynamics, we found that SDMs consistently underestimated extinction risk for range-shifting species. This was due to a concave relationship between population size and habitat loss, which contradicts the linear assumption in the Red List guidelines. For range-contracting species, SDMs provided adequate warning times. Probabilistic extinction estimates from SEPMs provided delayed warning for all species, particularly for highly threatened ones. Our results reveal key limitations of current Red List guidelines under climate change. Based on our findings, we provide tentative recommendations for updating the IUCN Red List guidelines.
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Abstract Climate change causes global species redistribution and elevates extinction risk, making early identification of vulnerable species critical for timely conservation. The IUCN Red List provides guidelines for assessing climate-related extinction risk using species distribution models (SDMs) and spatially explicit population models (SEPMs). However, a systematic evaluation of these guidelines is currently missing. Using simulations of virtual species with diverse life-history traits and range dynamics, we found that SDMs consistently underestimated extinction risk for range-shifting species. This was due to a concave relationship between population size and habitat loss, which contradicts the linear assumption in the Red List guidelines. For range-contracting species, SDMs provided adequate warning times. Probabilistic extinction estimates from SEPMs provided delayed warning for all species, particularly for highly threatened ones. Our results reveal key limitations of current Red List guidelines under climate change. Based on our findings, we provide tentative recommendations for updating the IUCN Red List guidelines. Competing Interest Statement The authors have declared no competing interest. Footnotes additional supplementary figures, minor changes in the main text

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