Literature DB >> 24512339

Detecting extinction risk from climate change by IUCN Red List criteria.

David A Keith1, 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.
© 2014 Society for Conservation Biology.

Entities:  

Keywords:  amphibian; anfibio; especies amenazadas; estudio de riesgo; frog; modelo de distribución de especies; modelo de población; population model; rana; risk assessment; species distribution model; threatened species

Mesh:

Year:  2014        PMID: 24512339     DOI: 10.1111/cobi.12234

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  7 in total

1.  Predicting plant conservation priorities on a global scale.

Authors:  Tara A Pelletier; Bryan C Carstens; David C Tank; Jack Sullivan; Anahí Espíndola
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-03       Impact factor: 11.205

2.  Extinction risk in extant marine species integrating palaeontological and biodistributional data.

Authors:  K S Collins; S M Edie; G Hunt; K Roy; D Jablonski
Journal:  Proc Biol Sci       Date:  2018-09-19       Impact factor: 5.349

3.  Societal attention toward extinction threats: a comparison between climate change and biological invasions.

Authors:  Ivan Jarić; Céline Bellard; Franck Courchamp; Gregor Kalinkat; Yves Meinard; David L Roberts; Ricardo A Correia
Journal:  Sci Rep       Date:  2020-07-06       Impact factor: 4.379

4.  Least concern to endangered: Applying climate change projections profoundly influences the extinction risk assessment for wild Arabica coffee.

Authors:  Justin Moat; Tadesse W Gole; Aaron P Davis
Journal:  Glob Chang Biol       Date:  2019-01-16       Impact factor: 10.863

5.  Mediating Water Temperature Increases Due to Livestock and Global Change in High Elevation Meadow Streams of the Golden Trout Wilderness.

Authors:  Sébastien Nusslé; Kathleen R Matthews; Stephanie M Carlson
Journal:  PLoS One       Date:  2015-11-13       Impact factor: 3.240

6.  Analysing biodiversity and conservation knowledge products to support regional environmental assessments.

Authors:  Thomas M Brooks; H Resit Akçakaya; Neil D Burgess; Stuart H M Butchart; Craig Hilton-Taylor; Michael Hoffmann; Diego Juffe-Bignoli; Naomi Kingston; Brian MacSharry; Mike Parr; Laurence Perianin; Eugenie C Regan; Ana S L Rodrigues; Carlo Rondinini; Yara Shennan-Farpon; Bruce E Young
Journal:  Sci Data       Date:  2016-02-16       Impact factor: 6.444

Review 7.  Conservation in the face of climate change: recent developments.

Authors:  Joshua Lawler; James Watson; Edward Game
Journal:  F1000Res       Date:  2015-10-28
  7 in total

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