Data

Data from: Habitat filtering determines the functional niche occupancy of plant communities worldwide

Charles Sturt University
Li, Yuanzhi ; Shipley, Bill ; Price, Jodi N. ; Dantas, Vinícius De L. ; Tamme, Riin ; Westoby, Mark ; Siefert, Andrew ; Schamp, Brandon S. ; Spasojevic, Marko J. ; Jung, Vincent ; Laughlin, Daniel C. ; Richardson, Sarah J. ; Le Bagousse-Pinguet, Yoann ; Schöb, Christian ; Gazol, Antonio ; Prentice, Honor C. ; Gross, Nicolas ; Overton, Jacob ; Cianciaruso, Marcus V. ; Louault, Frédérique ; Kamiyama, Chiho ; Nakashizuka, Tohru ; Hikosaka, Kouki ; Sasaki, Takehiro ; Katabuchi, Masatoshi ; Dussault, Cédric F. ; Gaucherand, Stephanie ; Chen, Ning ; Vandewalle, Marie ; Batalha, Marco A.
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.5061/dryad.cn642&rft.title=Data from: Habitat filtering determines the functional niche occupancy of plant communities worldwide&rft.identifier=10.5061/dryad.cn642&rft.publisher=Dryad&rft.description=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.&rft.creator=Li, Yuanzhi &rft.creator=Shipley, Bill &rft.creator=Price, Jodi N. &rft.creator=Dantas, Vinícius De L. &rft.creator=Tamme, Riin &rft.creator=Westoby, Mark &rft.creator=Siefert, Andrew &rft.creator=Schamp, Brandon S. &rft.creator=Spasojevic, Marko J. &rft.creator=Jung, Vincent &rft.creator=Laughlin, Daniel C. &rft.creator=Richardson, Sarah J. &rft.creator=Le Bagousse-Pinguet, Yoann &rft.creator=Schöb, Christian &rft.creator=Gazol, Antonio &rft.creator=Prentice, Honor C. &rft.creator=Gross, Nicolas &rft.creator=Overton, Jacob &rft.creator=Cianciaruso, Marcus V. &rft.creator=Louault, Frédérique &rft.creator=Kamiyama, Chiho &rft.creator=Nakashizuka, Tohru &rft.creator=Hikosaka, Kouki &rft.creator=Sasaki, Takehiro &rft.creator=Katabuchi, Masatoshi &rft.creator=Dussault, Cédric F. &rft.creator=Gaucherand, Stephanie &rft.creator=Chen, Ning &rft.creator=Vandewalle, Marie &rft.creator=Batalha, Marco A. &rft.date=2017&rft.relation=http://researchoutput.csu.edu.au/en/publications/e6c16aa4-c8dc-4402-b15e-6901326725ee&rft_subject=habitat filtering&rft_subject=niche occupancy&rft_subject=limiting similarity&rft_subject=Intraspecific trait variation&rft.type=dataset&rft.language=English Access the data

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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.

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External Organisations
Université de Sherbrooke; Federal University of Uberlândia; University of Tartu; Macquarie University; Federal University of São Carlos; Algoma University; French National Centre for Scientific Research; University of Wyoming; Landcare Research, Auckland; University of South Bohemia in České Budějovice; University of Zurich; Instituto Pirenaico de Ecología; Lund University; King Juan Carlos University; Universidade Federal de Goiás; French National Institute for Agricultural Research; United Nations University; Tohoku University; Chiba University; University of Florida; Helmholtz Centre for Environmental Research; Lanzhou University
Associated Persons
Yuanzhi Li (Creator); Bill Shipley (Creator); Vinícius De L. Dantas (Creator); Riin Tamme (Creator); Mark Westoby (Creator); Andrew Siefert (Creator); Brandon S. Schamp (Creator); Marko J. Spasojevic (Creator); Vincent Jung (Creator); Daniel C. Laughlin (Creator); Sarah J. Richardson (Creator); Yoann Le Bagousse-Pinguet (Creator); Christian Schöb (Creator); Antonio Gazol (Creator); Honor C. Prentice (Creator); Nicolas Gross (Creator); Jacob Overton (Creator); Marcus V. Cianciaruso (Creator); Frédérique Louault (Creator); Chiho Kamiyama (Creator); Tohru Nakashizuka (Creator); Kouki Hikosaka (Creator); Takehiro Sasaki (Creator); Masatoshi Katabuchi (Creator); Cédric F. Dussault (Creator); Stephanie Gaucherand (Creator); Ning Chen (Creator); Marie Vandewalle (Creator); Marco A. Batalha (Creator)

Issued: 2017-04-28

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Identifiers
  • DOI : 10.5061/DRYAD.CN642
  • global : 31b08695-52c4-4d43-a563-3214430349a2
  • global : dda6dbcf-ccc0-4d53-9043-3641e639b082