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Field theory for biogeography: a spatially explicit model for predicting patterns of biodiversity
Authors:James P. O'Dwyer    Jessica L. Green
Affiliation:Center for Ecology and Evolutionary Biology, University of Oregon, Eugene, OR 97403 5289, USA;
Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
Abstract:Predicting the variation of biodiversity across the surface of the Earth is a fundamental issue in ecology, and in this article we focus on one of the most widely studied spatial biodiversity patterns: the species–area relationship (SAR). The SAR is a central tool in conservation, being used to predict species loss following global climate change, and is striking in its universality throughout different geographical regions and across the tree of life. In this article we draw upon the methods of quantum field theory and the foundation of neutral community ecology to derive the first spatially explicit neutral prediction for the SAR. We find that the SAR has three phases, with a power law increase at intermediate scales, consistent with decades of documented empirical patterns. Our model also provides a building block for incorporating non-neutral biological variation, with the potential to bridge the gap between neutral and niche-based approaches to community assembly.
Ecology Letters (2010) 13: 87–95
Keywords:Biodiversity    ecological drift    neutral theory    spatial ecology    species–area relationship    stochastic models
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