Nature, volume 427, issue 6970, pages 145-148

Extinction risk from climate change

Chris D Thomas 1
Alison Cameron 1
Rhys E Green 2, 3
Michel Bakkenes 4
Linda J. Beaumont 5
Yvonne C Collingham 6
Barend F N Erasmus 7
Marinez Ferreira De Siqueira 8
Alan Grainger 9
Hannah Lee 10
Lesley Hughes 5
Brian Huntley 6
Albert S. Van Jaarsveld 11
Guy F Midgley 12
Lera Miles 9, 13
Miguel A Ortega Huerta 14
A Townsend Peterson 15
Oliver L. Phillips 9
Stephen E Williams 16
Show full list: 19 authors
2
 
Royal Society for the Protection of Birds, The Lodge, Sandy, Bedfordshire, UK
6
 
University of Durham, School of Biological and Biomedical Sciences, Durham, UK
8
 
Centro de Referência em Informação Ambiental, Campinas, Brazil
10
 
Center for Applied Biodiversity Science, Conservation International, Washington DC, USA
12
 
Climate Change Research Group, Kirstenbosch Research Centre, National Botanical Institute, Cape Town, South Africa
13
 
UNEP World Conservation Monitoring Centre, Cambridge, UK
Publication typeJournal Article
Publication date2004-01-07
Journal: Nature
scimago Q1
SJR18.509
CiteScore90.0
Impact factor50.5
ISSN00280836, 14764687
PubMed ID:  14712274
Multidisciplinary
Abstract
Climate change over the past ∼30 years has produced numerous shifts in the distributions and abundances of species1,2 and has been implicated in one species-level extinction3. Using projections of species' distributions for future climate scenarios, we assess extinction risks for sample regions that cover some 20% of the Earth's terrestrial surface. Exploring three approaches in which the estimated probability of extinction shows a power-law relationship with geographical range size, we predict, on the basis of mid-range climate-warming scenarios for 2050, that 15–37% of species in our sample of regions and taxa will be ‘committed to extinction’. When the average of the three methods and two dispersal scenarios is taken, minimal climate-warming scenarios produce lower projections of species committed to extinction (∼18%) than mid-range (∼24%) and maximum-change (∼35%) scenarios. These estimates show the importance of rapid implementation of technologies to decrease greenhouse gas emissions and strategies for carbon sequestration.

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