Topography, energy and the global distribution of bird species richness.
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 degree), 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.
Davies
Richard G
RG
Biodiversity and Macroecology Group, Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK. r.g.davies@sheffield.ac.uk
Orme
C David L
CD
Storch
David
D
Olson
Valerie A
VA
Thomas
Gavin H
GH
Ross
Simon G
SG
Ding
Tzung-Su
TS
Rasmussen
Pamela C
PC
Bennett
Peter M
PM
Owens
Ian P F
IP
Blackburn
Tim M
TM
Gaston
Kevin J
KJ
D000818:Animals; D044822:Biodiversity; D001717:Birds; D003710:Demography; D017753:Ecosystem; D005843:Geography; D008962:Models, Theoretical; D013696:Temperature