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From plant traits to plant communities: a statistical mechanistic approach to biodiversity.

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  • Author(s): Shipley B;Shipley B; Vile D; Garnier E
  • Source:
    Science (New York, N.Y.) [Science] 2006 Nov 03; Vol. 314 (5800), pp. 812-4. Date of Electronic Publication: 2006 Oct 05.
  • Publication Type:
    Journal Article; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 0404511 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9203 (Electronic) Linking ISSN: 00368075 NLM ISO Abbreviation: Science Subsets: MEDLINE
    • Publication Information:
      Publication: : Washington, DC : American Association for the Advancement of Science
      Original Publication: New York, N.Y. : [s.n.] 1880-
    • Subject Terms:
      Biodiversity* ; Ecosystem* ; Plants*/genetics; Ecology/*methods; Biomass ; Environment ; France ; Mathematics ; Models, Biological ; Models, Statistical ; Plant Development ; Plant Physiological Phenomena ; Population Density ; Population Dynamics ; Selection, Genetic
    • 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.
    • Comments:
      Erratum in: Science. 2007 Apr 13;316(5822):201.
      Comment in: Science. 2006 Nov 3;314(5800):770-2. (PMID: 17082444)
      Comment in: Science. 2007 Jun 8;316(5830):1425; author reply 1425. (PMID: 17556569)
      Comment in: Science. 2007 Jun 8;316(5830):1425; author reply 1425. (PMID: 17556570)
    • Publication Date:
      Date Created: 20061007 Date Completed: 20061120 Latest Revision: 20121115
    • Publication Date:
      20231215
    • Accession Number:
      10.1126/science.1131344
    • Accession Number:
      17023613