Global habitat suitability models of terrestrial mammals

Author:

Rondinini Carlo1,Di Marco Moreno1,Chiozza Federica1,Santulli Giulia1,Baisero Daniele1,Visconti Piero12,Hoffmann Michael345,Schipper Jan6,Stuart Simon N.34578,Tognelli Marcelo F.910,Amori Giovanni11,Falcucci Alessandra1,Maiorano Luigi112,Boitani Luigi1

Affiliation:

1. Global Mammal Assessment programme, Department of Biology and Biotechnologies, Sapienza Università di Roma, Viale dell'Università 32, 00185 Rome, Italy

2. ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland 4811, Australia

3. IUCN, Rue Mauverney 28, 1196 Gland, Switzerland

4. United Nations Environment Programme World Conservation Monitoring Centre, 219 Huntington Road, Cambridge CB3 0DL, UK

5. Conservation International, Conservation International, 2011 Crystal Drive, Suite 500, Arlington, VA 22202, USA

6. Big Island Invasive Species Committee, 23 E. Kawili Street, Hilo, HI 96720, USA

7. Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK

8. Al Ain Wildlife Park and Resort, PO Box 45553 Abu Dhabi, United Arab Emirates

9. IUCN-CI Biodiversity Assessment Unit, Conservation International, 2011 Crystal Drive, Suite 500, Arlington, VA 22202, USA

10. Instituto Argentino de Investigaciones de Zonas Áridas, CONICET CCT-Mendoza, C.C. 507, C.P. 5500 Mendoza, Argentina

11. CNR Institute for Ecosystem Studies, Viale dell'Università 32, 00185 Rome, Italy

12. Department of Ecology and Evolution, University of Lausanne, Biophore Building, 1015 Lausanne, Switzerland

Abstract

Detailed large-scale information on mammal distribution has often been lacking, hindering conservation efforts. We used the information from the 2009 IUCN Red List of Threatened Species as a baseline for developing habitat suitability models for 5027 out of 5330 known terrestrial mammal species, based on their habitat relationships. We focused on the following environmental variables: land cover, elevation and hydrological features. Models were developed at 300 m resolution and limited to within species' known geographical ranges. A subset of the models was validated using points of known species occurrence. We conducted a global, fine-scale analysis of patterns of species richness. The richness of mammal species estimated by the overlap of their suitable habitat is on average one-third less than that estimated by the overlap of their geographical ranges. The highest absolute difference is found in tropical and subtropical regions in South America, Africa and Southeast Asia that are not covered by dense forest. The proportion of suitable habitat within mammal geographical ranges correlates with the IUCN Red List category to which they have been assigned, decreasing monotonically from Least Concern to Endangered. These results demonstrate the importance of fine-resolution distribution data for the development of global conservation strategies for mammals.

Publisher

The Royal Society

Subject

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

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