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From Plant Traits to Plant Communities: A Statistical Mechanistic Approach to Biodiversity
Bill Shipley, Denis Vile and Éric Garnier
New Series, Vol. 314, No. 5800 (Nov. 3, 2006), pp. 812-814
Published by: American Association for the Advancement of Science
Stable URL: http://www.jstor.org/stable/20031691
Page Count: 3
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We developed a quantitative method, analogous to those used in statistical mechanics, to predict how biodiversity will vary across environments, which plant species from a species pool will be found in which relative abundances in a given environment, and which plant traits determine community assembly. This provides a scaling from plant traits to ecological communities while bypassing the complications of population dynamics. Our method treats community development as a sorting process involving species that are ecologically equivalent except with respect to particular functional traits, which leads to a constrained random assembly of species; the relative abundance of each species adheres to a general exponential distribution as a function of its traits. Using data for eight functional traits of 30 herbaceous species and community-aggregated values of these traits in 12 sites along a 42-year chronosequence of secondary succession, we predicted 94% of the variance in the relative abundances.
Science © 2006 American Association for the Advancement of Science