Topography, energy and the global distribution of bird species richness

Author:

Davies Richard G1,Orme C. David L2,Storch David34,Olson Valerie A5,Thomas Gavin H67,Ross Simon G1,Ding Tzung-Su8,Rasmussen Pamela C9,Bennett Peter M5,Owens Ian P.F27,Blackburn Tim M6,Gaston Kevin J1

Affiliation:

1. Biodiversity and Macroecology Group, Department of Animal and Plant SciencesUniversity of Sheffield, Sheffield S10 2TN, UK

2. Division of Biology, Imperial College London, Silwood ParkAscot, Berkshire SL5 7PY, UK

3. Center for Theoretical Study, Charles University, Jilská 1, 110 00 Praha 1Czech Republic

4. Department of Ecology, Faculty of ScienceVinicná 7, 128 44 Praha 2, Czech Republic

5. Institute of Zoology, Zoological Society of LondonRegent's Park, London NW1 4RY, UK

6. School of Biosciences, University of BirminghamEdgbaston, Birmingham B15 2TT, UK

7. NERC Centre for Population Biology, Imperial College LondonSilwood Park, Ascot, Berkshire SL5 7PY, UK

8. School of Forestry and Resource Conservation, National Taiwan University1, Sec 4, Roosevelt Road, Taipei 106, Taiwan

9. Michigan State University Museum and Department of Zoology, West Circle DriveEast Lansing, MI 48824-1045, USA

Abstract

A major goal of ecology is to determine the causes of the latitudinal gradient in global distribution of species richness. Current evidence points to either energy availability or habitat heterogeneity as the most likely environmental drivers in terrestrial systems, but their relative importance is controversial in the absence of analyses of global (rather than continental or regional) extent. Here we use data on the global distribution of extant continental and continental island bird species to test the explanatory power of energy availability and habitat heterogeneity while simultaneously addressing issues of spatial resolution, spatial autocorrelation, geometric constraints upon species' range dynamics, and the impact of human populations and historical glacial ice-cover. At the finest resolution (1°), topographical variability and temperature are identified as the most important global predictors of avian species richness in multi-predictor models. Topographical variability is most important in single-predictor models, followed by productive energy. Adjusting for null expectations based on geometric constraints on species richness improves overall model fit but has negligible impact on tests of environmental predictors. Conclusions concerning the relative importance of environmental predictors of species richness cannot be extrapolated from one biogeographic realm to others or the globe. Rather a global perspective confirms the primary importance of mountain ranges in high-energy areas.

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference54 articles.

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