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Detecting Extinction Risk from Climate Change by IUCN Red List Criteria

Overview of attention for article published in Conservation Biology, February 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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76 Dimensions

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Title
Detecting Extinction Risk from Climate Change by IUCN Red List Criteria
Published in
Conservation Biology, February 2014
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.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 349 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2020.
All research outputs
#1,942,958
of 25,425,223 outputs
Outputs from Conservation Biology
#1,082
of 4,056 outputs
Outputs of similar age
#22,521
of 329,362 outputs
Outputs of similar age from Conservation Biology
#16
of 65 outputs
Altmetric has tracked 25,425,223 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.1. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,362 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.