Title |
Detecting Extinction Risk from Climate Change by IUCN Red List Criteria
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Published in |
Conservation Biology, February 2014
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DOI | 10.1111/cobi.12234 |
Pubmed ID | |
Authors |
DAVID A. KEITH, MICHAEL MAHONY, HARRY HINES, JANE ELITH, TRACEY J. REGAN, JOHN B. BAUMGARTNER, DAVID HUNTER, GEOFFREY W. HEARD, NICOLA J. MITCHELL, KIRSTEN M. PARRIS, TRENT PENMAN, BEN SCHEELE, CHRISTOPHER C. SIMPSON, REID TINGLEY, CHRISTOPHER R. TRACY, MATT WEST, H. RESIT AKÇAKAYA |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 5 | 25% |
United States | 3 | 15% |
Australia | 3 | 15% |
Belgium | 1 | 5% |
Germany | 1 | 5% |
Brazil | 1 | 5% |
Unknown | 6 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 10 | 50% |
Members of the public | 9 | 45% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 7 | 2% |
Brazil | 7 | 2% |
Australia | 5 | 1% |
United States | 4 | 1% |
Italy | 3 | <1% |
Germany | 3 | <1% |
Spain | 3 | <1% |
Colombia | 2 | <1% |
Switzerland | 2 | <1% |
Other | 6 | 2% |
Unknown | 307 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 76 | 22% |
Student > Ph. D. Student | 68 | 19% |
Student > Master | 45 | 13% |
Student > Bachelor | 25 | 7% |
Other | 25 | 7% |
Other | 57 | 16% |
Unknown | 53 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 150 | 43% |
Environmental Science | 103 | 30% |
Social Sciences | 6 | 2% |
Earth and Planetary Sciences | 4 | 1% |
Veterinary Science and Veterinary Medicine | 3 | <1% |
Other | 16 | 5% |
Unknown | 67 | 19% |