LiShipleyPriceEtAl2018

Référence

Li, Y., Shipley, B., Price, J.N., Dantas, V.D.L., Tamme, R., Westoby, M., Siefert, A., Schamp, B.S., Spasojevic, M.J., Jung, V., Laughlin, D.C., Richardson, S.J., Bagousse-Pinguet, Y.L., Schöb, C., Gazol, A., Prentice, H.C., Gross, N., Overton, J., Cianciaruso, M.V., Louault, F., Kamiyama, C., Nakashizuka, T., Hikosaka, K., Sasaki, T., Katabuchi, M., Frenette Dussault, C., Gaucherand, S., Chen, N., Vandewalle, M., Batalha, M.A. (2018) Habitat filtering determines the functional niche occupancy of plant communities worldwide. Journal of Ecology, 106(3):1001-1009. (Scopus )

Résumé

How the patterns of niche occupancy vary from species-poor to species-rich communities is a fundamental question in ecology that has a central bearing on the processes that drive patterns of biodiversity. As species richness increases, habitat filtering should constrain the expansion of total niche volume, while limiting similarity should restrict the degree of niche overlap between species. Here, by explicitly incorporating intraspecific trait variability, we investigate the relationship between functional niche occupancy and species richness at the global scale. We assembled 21 datasets worldwide, spanning tropical to temperate biomes and consisting of 313 plant communities representing different growth forms. We quantified three key niche occupancy components (the total functional volume, the functional overlap between species and the average functional volume per species) for each community, related each component to species richness, and compared each component to the null expectations. As species richness increased, communities were more functionally diverse (an increase in total functional volume), and species overlapped more within the community (an increase in functional overlap) but did not more finely divide the functional space (no decline in average functional volume). Null model analyses provided evidence for habitat filtering (smaller total functional volume than expectation), but not for limiting similarity (larger functional overlap and larger average functional volume than expectation) as a process driving the pattern of functional niche occupancy. Synthesis. Habitat filtering is a widespread process driving the pattern of functional niche occupancy across plant communities and coexisting species tend to be more functionally similar rather than more functionally specialized. Our results indicate that including intraspecific trait variability will contribute to a better understanding of the processes driving patterns of functional niche occupancy. © 2017 The Authors. Journal of Ecology © 2017 British Ecological Society

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@ARTICLE { LiShipleyPriceEtAl2018,
    AUTHOR = { Li, Y. and Shipley, B. and Price, J.N. and Dantas, V.D.L. and Tamme, R. and Westoby, M. and Siefert, A. and Schamp, B.S. and Spasojevic, M.J. and Jung, V. and Laughlin, D.C. and Richardson, S.J. and Bagousse-Pinguet, Y.L. and Schöb, C. and Gazol, A. and Prentice, H.C. and Gross, N. and Overton, J. and Cianciaruso, M.V. and Louault, F. and Kamiyama, C. and Nakashizuka, T. and Hikosaka, K. and Sasaki, T. and Katabuchi, M. and Frenette Dussault, C. and Gaucherand, S. and Chen, N. and Vandewalle, M. and Batalha, M.A. },
    TITLE = { Habitat filtering determines the functional niche occupancy of plant communities worldwide },
    JOURNAL = { Journal of Ecology },
    YEAR = { 2018 },
    VOLUME = { 106 },
    NUMBER = { 3 },
    PAGES = { 1001-1009 },
    NOTE = { cited By 2 },
    ABSTRACT = { How the patterns of niche occupancy vary from species-poor to species-rich communities is a fundamental question in ecology that has a central bearing on the processes that drive patterns of biodiversity. As species richness increases, habitat filtering should constrain the expansion of total niche volume, while limiting similarity should restrict the degree of niche overlap between species. Here, by explicitly incorporating intraspecific trait variability, we investigate the relationship between functional niche occupancy and species richness at the global scale. We assembled 21 datasets worldwide, spanning tropical to temperate biomes and consisting of 313 plant communities representing different growth forms. We quantified three key niche occupancy components (the total functional volume, the functional overlap between species and the average functional volume per species) for each community, related each component to species richness, and compared each component to the null expectations. As species richness increased, communities were more functionally diverse (an increase in total functional volume), and species overlapped more within the community (an increase in functional overlap) but did not more finely divide the functional space (no decline in average functional volume). Null model analyses provided evidence for habitat filtering (smaller total functional volume than expectation), but not for limiting similarity (larger functional overlap and larger average functional volume than expectation) as a process driving the pattern of functional niche occupancy. Synthesis. Habitat filtering is a widespread process driving the pattern of functional niche occupancy across plant communities and coexisting species tend to be more functionally similar rather than more functionally specialized. Our results indicate that including intraspecific trait variability will contribute to a better understanding of the processes driving patterns of functional niche occupancy. © 2017 The Authors. Journal of Ecology © 2017 British Ecological Society },
    AFFILIATION = { Département de Biologie, Université de Sherbrooke, Sherbrooke, QC, Canada; State Key Laboratory of Grassland Agro-Ecosystem, School of Life Sciences, Lanzhou University, Lanzhou, Gansu, China; School of Plant Biology, University of Western Australia, Perth, WA, Australia; Institute for Land, Water and Society, Charles Sturt University, Albury, NSW, Australia; Institute of Geography, Federal University of Uberlândia – UFU, Uberlândia, Brazil; Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia; Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia; Department of Biological Sciences, Macquarie University, Sydney, NSW, Australia; Department of Evolution and Ecology, University of California, Davis, CA, United States; Department of Biology, Algoma University, Marie, Canada; Department of Biology, University of California Riverside, Riverside, CA, United States; CNRS UMR 6553, ECOBIO, Université de Rennes 1, Rennes, France; Department of Botany, University of Wyoming, Laramie, WY, United States; Landcare Research, Lincoln, New Zealand; Department of Botany, University of South Bohemia, Ceske Budejovice, Czech Republic; Área de Biodiversidad y Conservación, Departamento de Biología y Geología, Física y Química Inorgánica, Escuela Superior de Ciencias Experimentales y Tecnología, Universidad Rey Juan Carlos, Móstoles, Spain; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zürich, Switzerland; Instituto Pirenaico de Ecología (IPE-CSIC), Zaragoza, Spain; Department of Biology, Lund University, Lund, Sweden; INRA, USC 1339 (Centre d’étude biologique de Chizé –CNRS), Villiers en Bois, France; Centre d’étude biologique de Chizé, UMR 7372 CNRS – Université de La Rochelle, Villiers en Bois, France; Landcare Research, Hamilton, New Zealand; Departamento de Ecologia, Universidade Federal de Goiás, Goiânia, Goiás, Brazil; UMR Ecosystème Prairial, INRA, VetAgroSup, Clermont-Ferrand, France; Institute for the Advanced Study of Sustainability, United Nations University, Shibuya, Japan; Graduate School of Life Sciences, Tohoku University, Sendai, Japan; Department of Biology, Faculty of Science, Chiba University, Chiba, Japan; Department of Biology, University of Florida, Gainesville, FL, United States; RSTEA, Unité de Recherche sur les Ecosystèmes Montagnards, St-Martin d'Hères Cedex, France; Department of Conservation Biology, Helmholtz Centre for Environmental Research - UFZ Permoserstr, Leipzig, Germany; Department of Botany, Federal University of São Carlos, São Carlos, Brazil },
    AUTHOR_KEYWORDS = { community assembly; determinants of plant community diversity and structure; habitat filtering; intraspecific trait variability; limiting similarity; niche occupancy; species richness },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1111/1365-2745.12802 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042661231&doi=10.1111%2f1365-2745.12802&partnerID=40&md5=201a08fa20185626516ee153db829c48 },
}

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