Cavender-BaresKozakFineEtAl2009

Reference

Cavender-Bares, J., Kozak, K.H., Fine, P.V.A., Kembel, S.W. (2009) The merging of community ecology and phylogenetic biology. Ecology Letters, 12(7):693-715. (Scopus )

Abstract

The increasing availability of phylogenetic data, computing power and informatics tools has facilitated a rapid expansion of studies that apply phylogenetic data and methods to community ecology. Several key areas are reviewed in which phylogenetic information helps to resolve long-standing controversies in community ecology, challenges previous assumptions, and opens new areas of investigation. In particular, studies in phylogenetic community ecology have helped to reveal the multitude of processes driving community assembly and have demonstrated the importance of evolution in the assembly process. Phylogenetic approaches have also increased understanding of the consequences of community interactions for speciation, adaptation and extinction. Finally, phylogenetic community structure and composition holds promise for predicting ecosystem processes and impacts of global change. Major challenges to advancing these areas remain. In particular, determining the extent to which ecologically relevant traits are phylogenetically conserved or convergent, and over what temporal scale, is critical to understanding the causes of community phylogenetic structure and its evolutionary and ecosystem consequences. Harnessing phylogenetic information to understand and forecast changes in diversity and dynamics of communities is a critical step in managing and restoring the Earth's biota in a time of rapid global change. © 2009 Blackwell Publishing Ltd/CNRS.

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@ARTICLE { Cavender-BaresKozakFineEtAl2009,
    AUTHOR = { Cavender-Bares, J. and Kozak, K.H. and Fine, P.V.A. and Kembel, S.W. },
    TITLE = { The merging of community ecology and phylogenetic biology },
    JOURNAL = { Ecology Letters },
    YEAR = { 2009 },
    VOLUME = { 12 },
    PAGES = { 693-715 },
    NUMBER = { 7 },
    ABSTRACT = { The increasing availability of phylogenetic data, computing power and informatics tools has facilitated a rapid expansion of studies that apply phylogenetic data and methods to community ecology. Several key areas are reviewed in which phylogenetic information helps to resolve long-standing controversies in community ecology, challenges previous assumptions, and opens new areas of investigation. In particular, studies in phylogenetic community ecology have helped to reveal the multitude of processes driving community assembly and have demonstrated the importance of evolution in the assembly process. Phylogenetic approaches have also increased understanding of the consequences of community interactions for speciation, adaptation and extinction. Finally, phylogenetic community structure and composition holds promise for predicting ecosystem processes and impacts of global change. Major challenges to advancing these areas remain. In particular, determining the extent to which ecologically relevant traits are phylogenetically conserved or convergent, and over what temporal scale, is critical to understanding the causes of community phylogenetic structure and its evolutionary and ecosystem consequences. Harnessing phylogenetic information to understand and forecast changes in diversity and dynamics of communities is a critical step in managing and restoring the Earth's biota in a time of rapid global change. © 2009 Blackwell Publishing Ltd/CNRS. },
    COMMENT = { Cited By (since 1996): 175 Export Date: 17 September 2012 Source: Scopus CODEN: ECLEF doi: 10.1111/j.1461-0248.2009.01314.x },
    ISSN = { 1461023X (ISSN) },
    KEYWORDS = { Community assembly, Deterministic vs. neutral processes, Ecosystem processes, Experimental approaches, Functional traits, Phylogenetic community ecology, Phylogenetic diversity, Spatial and phylogenetic scale, biology, community composition, community ecology, community structure, evolution, phylogeny, speciation (biology), article, biodiversity, biology, ecology, ecosystem, gene flow, phylogeny, population dynamics, species differentiation, species extinction, Biodiversity, Computational Biology, Ecology, Ecosystem, Extinction, Biological, Gene Flow, Genetic Speciation, Phylogeny, Population Dynamics },
    OWNER = { Luc },
    TIMESTAMP = { 2012.09.17 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-66349134056&partnerID=40&md5=ce7669f237c7c96074bad36d62b64c21 },
}

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