Predicting how populations decline to extinction

Author:

Collen Ben1,McRae Louise1,Deinet Stefanie1,De Palma Adriana1,Carranza Tharsila12,Cooper Natalie3,Loh Jonathan4,Baillie Jonathan E. M.5

Affiliation:

1. Institute of Zoology, Zoological Society of London, Regent's Park, London NW1 4RY, UK

2. Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK

3. Department of Ecology and Evolutionary Biology, Yale University, New Haven, Prospect Street, CT 06510, USA

4. WWF International, Avenue du Mont-Blanc, 1196, Gland, Switzerland

5. Conservation Programmes, Zoological Society of London, Regent's Park, London NW1 4RY, UK

Abstract

Global species extinction typically represents the endpoint in a long sequence of population declines and local extinctions. In comparative studies of extinction risk of contemporary mammalian species, there appear to be some universal traits that may predispose taxa to an elevated risk of extinction. In local population-level studies, there are limited insights into the process of population decline and extinction. Moreover, there is still little appreciation of how local processes scale up to global patterns. Advancing the understanding of factors which predispose populations to rapid declines will benefit proactive conservation and may allow us to target at-risk populations as well as at-risk species. Here, we take mammalian population trend data from the largest repository of population abundance trends, and combine it with the PanTHERIA database on mammal traits to answer the question: what factors can be used to predict decline in mammalian abundance? We find in general that environmental variables are better determinants of cross-species population-level decline than intrinsic biological traits. For effective conservation, we must not only describe which species are at risk and why, but also prescribe ways to counteract this.

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

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