ShipleyVileGarnier2006

Référence

Shipley, B., Vile, D. and Garnier, E. (2006) From plant traits to plant communities: A statistical mechanistic approach to biodiversity. Science, 314(5800):812-814. (PDF )

Résumé

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.

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@ARTICLE { ShipleyVileGarnier2006,
    AUTHOR = { Shipley, B. and Vile, D. and Garnier, E. },
    TITLE = { From plant traits to plant communities: A statistical mechanistic approach to biodiversity },
    JOURNAL = { Science },
    YEAR = { 2006 },
    VOLUME = { 314 },
    PAGES = { 812-814 },
    NUMBER = { 5800 },
    NOTE = { 00368075 (ISSN) Cited By (since 1996): 2 Export Date: 26 April 2007 Source: Scopus CODEN: SCIEA doi: 10.1126/science.1131344 Language of Original Document: English Correspondence Address: Shipley, B.; De?partement de Biologie; Universite? de Sherbrooke Sherbrooke, Que. J1X 2R1, Canada; email: bill.shipley@usherbrooke.ca References: Gause, G.F., (1934) The Struggle for Existence, , Williams and Wilkins, Baltimore; MacArthur, R.H., (1972) Geographical Ecology: Patterns in the Distribution of Species, , Harper and Row, New York; Tilman, D., (1982) Resource Competition and Community Structure, , Princeton Univ. Press, Princeton, NJ; Hubbell, S.P., (2001) The Unified Neutral Theory of Biodiversity and Biogeography, , Princeton Univ. Press, Princeton, NJ; Vandermeer, J.H., (1969) Ecology, 50, p. 362; Passarge, J., Hol, S., Escher, M., Huisman, J., (2006) Ecol. Monogr., 76, p. 57; Murray, B.R., Thrall, P.H., Gill, A.M., Nicotra, A.B., (2002) Austral Ecol., 27, p. 291; Bell, G., (2006) Ecology, 86, p. 1757; McGill, B.J., Maurer, B.A., Weiser, M.D., (2006) Ecology, 87, p. 1411; Harpole, W.S., Tilman, D., (2006) Ecol. Lett., 9, p. 15; Keddy, P.A., (1992) J. Veg. Sci., 3, p. 157; Weiher, E., Keddy, P.A., (1995) Oikos, 73, p. 323; Grime, J.P., (2001) Plant Strategies, Vegetation Processes, and Ecosystem Properties, , John Wiley \& Sons, New York, ed. 2; Roff, D.A., (1997) Evolutionary Quantitative Genetics, , Chapman \& Hall, New York; Garnier, E., (2001) New Phytol., 152, p. 69; Garnier, E., (2004) Ecology, 85, p. 2630; Shannon, C.E., Weaver, W., (1949) The Mathematical Theory of Communication, , Univ. of Illinois Press, Urbana, IL; Jaynes, E.T., (2003) Probability Theory: The Logic of Science, , Cambridge Univ. Press, Cambridge, UK; Della Pietra, S., Della Pietra, V., Lafferty, J., (1997) IEEE Trans. Pattern Anal. Mach. Intell., 19, p. 380; http://pages.usherbrooke.ca/jshipley/recherche/my%20programs.htm, A program to obtain our parameter estimates is available online; Vile, D., Shipley, B., Garnier, E., (2006) Ecology, 87, p. 504; Volterra, V., (1931) Lec?ons Sur la The?orie Mathe?matique de la Lutte Pour la Vie, , Gauthier-Villars, Paris; Plank, M., (1999) SIAM J. Appl. Math., 59, p. 1540; Plank, M., (1996) Nonlinearity, 9, p. 887; Plank, M., (1995) J. Math. Phys., 36, p. 3520; Kerner, E.H., (1964) Gibbs Ensemble: Biological Ensemble, , Gordon and Brench, New York; Lurie, D., Wasenburg, J., (1984) Thermodynamics and Regulation of Biological Processes, pp. 257-271. , I. Lambrecht, A. I. Zotin, Eds. (De Gruyter, Berlin); Levich, A.P., (1988) Lectures in Theoretical Biology, pp. 121-127. , T. Tiivel, Ed. (Valgus, Tallinn, Estonia); Alexeyev, V.L., Levich, A.P., (1997) Bull. Math. Biol., 59, p. 649; Levich, A.P., (2000) Ecol. Modell., 131, p. 207; Maurer, B.A., (1999) Untangling Ecological Complexity: The Macroscopic Perspective, , Univ. of Chicago Press, Chicago; note. },
    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. },
    OWNER = { brugerolles },
    TIMESTAMP = { 2007.12.05 },
    URL = { http://www.sciencemag.org/cgi/rapidpdf/314/5800/812.pdf?ijkey=MWw1SFAiHdwuY&keytype=ref&siteid=sci },
}

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