Detecting Extinction Risk from Climate Change by IUCN Red List Criteria
Open accessAbstract
Anthropogenic climate change is a key threat to global biodiversity. To inform strategic actions aimed at conserving biodiversity as climate changes, conservation planners need early warning of the risks faced by different species. The IUCN Red List criteria for threatened species are widely acknowledged as useful risk assessment tools for informing conservation under constraints imposed by limited data. However, doubts have been expressed about the ability of the criteria to detect risks imposed by potentially slow‐acting threats such as climate change, particularly because criteria addressing rates of population decline are assessed over time scales as short as 10 years. We used spatially explicit stochastic population models and dynamic species distribution models projected to future climates to determine how long before extinction a species would become eligible for listing as threatened based on the IUCN Red List criteria. We focused on a short‐lived frog species (Assa darlingtoni) chosen specifically to represent potential weaknesses in the criteria to allow detailed consideration of the analytical issues and to develop an approach for wider application. The criteria were more sensitive to climate change than previously anticipated; lead times between initial listing in a threatened category and predicted extinction varied from 40 to 80 years, depending on data availability. We attributed this sensitivity primarily to the ensemble properties of the criteria that assess contrasting symptoms of extinction risk. Nevertheless, we recommend the robustness of the criteria warrants further investigation across species with contrasting life histories and patterns of decline. The adequacy of these lead times for early warning depends on practicalities of environmental policy and management, bureaucratic or political inertia, and the anticipated species response times to management actions. Detección del Riesgo de Extinción a partir del Cambio Climático por medio del Criterio de la Lista Roja de la UICNKeith et al.
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Research indicates that Red List categories based on projected climate-change extinction risk are more reliable than earlier believed.
“Finally, studies have shown Red List categorizations reflecting projected extinction risk from climate change to be more robust than was previously thought 6 .”
From Biodiversity: The ravages of guns, nets and bulldozers (2016) · cites this paper as [6]
The Introduction (page not supplied) describes earlier doubts about whether Red List criteria can detect climate-change extinction risk. The Factors influencing performance section reports that assessments for later in the twenty-first century were robust to missing data, but the study examined one amphibian species and cautions that early detection can depend on assessing criterion E. The claim overgeneralizes that qualified finding to Red List categorizations broadly. (LLM, conf=0.83)
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- Authors
- KEITH, D. A., MAHONY, M., HINES, H., ELITH, J., REGAN, T. J., BAUMGARTNER, J. B., HUNTER, D., HEARD, G. W., MITCHELL, N. J., PARRIS, K. M., PENMAN, T., SCHEELE, B., SIMPSON, C. C., TINGLEY, R., TRACY, C. R., WEST, M., & AKÇAKAYA, H. R.
- Affiliations
- UNSW Sydney (AU)
- University of Newcastle Australia (AU)
- Queensland Parks and Wildlife Service Brisbane Qld 4000 Australia
- The University of Melbourne (AU)
- NSW Office of Environment & Heritage (AU)
- The University of Western Australia (AU)
- University of Wollongong (AU)
- Australian National University (AU)
- California State University, Fullerton (US)
- Department of Ecology and Evolution Stony Brook University Stony Brook NY 11794 U.S.A.
- ORCID
- Venue
- Conservation Biology
- Publisher
- Wiley
- Published
- 2014-02-11
- Volume
- 28
- Issue
- 3
- Pages
- 810-819
- ISSN
- 0888-8892 (ISSN-L)
- 1523-1739
- OpenAlex
- W2157406002
- Cited by
- 97
- References
- 38
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 9 · 2023: 8 · 2022: 6 · 2021: 7 · 2020: 4 · 2019: 9 · 2018: 10 · 2017: 8 · 2016: 11 · 2015: 10 · 2014: 5
- FWCI
- 7.57
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Conservation Biology (publishedVersion)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Research Online (University of Wollongong) (submittedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- NOVA (University of Newcastle Australia) (submittedVersion)
- Funders
- Australian Research Council (LP0989537)
- Topics
- Physical Sciences › Environmental Science › Ecological Modeling › Species Distribution and Climate Change
- Physical Sciences › Environmental Science › Global and Planetary Change › Amphibian and Reptile Biology
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
- Keywords
- IUCN Red List criteria, extinction risk, climate change, threatened species assessment, population decline (ecology), stochastic population models, amphibian conservation, conservation policy
- MeSH terms
- Animals, Anura, Australia, Conservation of Natural Resources, Risk Assessment, Biodiversity, Extinction, Biological, Endangered Species, Climate Change, Environmental Policy
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