From Plant Traits to Plant Communities: A Statistical Mechanistic Approach to Biodiversity. Shipley, B., Vile, D., & Garnier, É. Science, 314(5800):812 --814, 2006. ![From Plant Traits to Plant Communities: A Statistical Mechanistic Approach to Biodiversity [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@article{shipley_plant_2006,
title = {From {Plant} {Traits} to {Plant} {Communities}: {A} {Statistical} {Mechanistic} {Approach} to {Biodiversity}},
volume = {314},
shorttitle = {From {Plant} {Traits} to {Plant} {Communities}},
url = {http://www.sciencemag.org/content/314/5800/812.abstract},
doi = {10.1126/science.1131344},
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.},
number = {5800},
urldate = {2011-01-07TZ},
journal = {Science},
author = {Shipley, Bill and Vile, Denis and Garnier, Éric},
year = {2006},
pages = {812 --814}
}
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