Life history and spatial traits predict extinction risk due to climate change

Richard G. Pearson, Jessica C. Stanton, Kevin T. Shoemaker, Matthew E. Aiello-Lammens, Peter J. Ersts, Ned Horning, Damien A. Fordham, Christopher J. Raxworthy, Hae Yeong Ryu, Jason McNees and H. Reşit Akçakaya ()
Additional contact information
Richard G. Pearson: Centre for Biodiversity and Environment Research, Evolution and Environment, University College London, Gower Street London WC1E 6BT, UK
Jessica C. Stanton: Stony Brook University Stony Brook, New York 11794, USA
Kevin T. Shoemaker: Stony Brook University Stony Brook, New York 11794, USA
Matthew E. Aiello-Lammens: Stony Brook University Stony Brook, New York 11794, USA
Peter J. Ersts: American Museum of Natural History, Central Park West at 79th Street New York 10024, USA
Ned Horning: American Museum of Natural History, Central Park West at 79th Street New York 10024, USA
Damien A. Fordham: The Environment Institute and School of Earth and Environmental Sciences, University of Adelaide South Australia 5005, Australia
Christopher J. Raxworthy: American Museum of Natural History, Central Park West at 79th Street New York 10024, USA
Hae Yeong Ryu: Stony Brook University Stony Brook, New York 11794, USA
Jason McNees: NatureServe, 1101 Wilson Boulevard, 15th Floor Arlington, Virginia 22209, USA
H. Reşit Akçakaya: Stony Brook University Stony Brook, New York 11794, USA

Nature Climate Change, 2014, vol. 4, issue 3, 217-221

Abstract: Climate change could be a game-changer for biodiversity conservation, potentially invalidating many established methods including those employed in vulnerability assessments. Now, a simulation study finds that extinction risk due to climate change can be predicted using measurable spatial and demographic variables. Interestingly, most of those variables identified as important are already used in species conservation assessment.

Date: 2014
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DOI: 10.1038/nclimate2113

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