HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

From Plant Traits to Plant Communities: A Statistical Mechanistic Approach to Biodiversity

Abstract : 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.
Document type :
Journal articles
Complete list of metadata

Contributor : Denis Vile Connect in order to contact the contributor
Submitted on : Tuesday, August 25, 2020 - 12:07:20 PM
Last modification on : Monday, May 9, 2022 - 11:58:08 AM



Bill Shipley, Denis Vile, Eric Garnier. From Plant Traits to Plant Communities: A Statistical Mechanistic Approach to Biodiversity. Science, American Association for the Advancement of Science (AAAS), 2006, 314 (5800), pp.812-814. ⟨10.1126/science.1131344⟩. ⟨hal-02921538⟩



Record views