TY - JOUR
T1 - Habitat filtering determines the functional niche occupancy of plant communities worldwide
AU - Li, Yuanzhi
AU - Shipley, Bill
AU - Price, Jodi N.
AU - Dantas, Vinícius de L.
AU - Tamme, Riin
AU - Westoby, Mark
AU - Siefert, Andrew
AU - Schamp, Brandon S.
AU - Spasojevic, Marko J.
AU - Jung, Vincent
AU - Laughlin, Daniel C.
AU - Richardson, Sarah J.
AU - Bagousse-Pinguet, Yoann Le
AU - Schöb, Christian
AU - Gazol, Antonio
AU - Prentice, Honor C.
AU - Gross, Nicolas
AU - Overton, Jake
AU - Cianciaruso, Marcus V.
AU - Louault, Frédérique
AU - Kamiyama, Chiho
AU - Nakashizuka, Tohru
AU - Hikosaka, Kouki
AU - Sasaki, Takehiro
AU - Katabuchi, Masatoshi
AU - Frenette Dussault, Cédric
AU - Gaucherand, Stephanie
AU - Chen, Ning
AU - Vandewalle, Marie
AU - Batalha, Marco Antônio
N1 - Funding Information:
original method for n-dimensional hypervolume quantification. This research was funded by an NSERC Discovery grant to B.S. and by a CSC (China Scholarship Council) scholarship to Y.L. Data collection of ‘Hezuo’ was funded by National Natural Science Foundation of China (no. 31270472). Data ‘Panama’ was provided by Julie Messier. Data collection of ‘Saaremaa’ was funded by the European Union through the European Social Fund (MOBILITAS post-doctoral grant MJD47). V.L.D. was supported by São Paulo Research foundation (processes: 2010/01835-0, 2013/50169-1 and 2014/06453-0). Data collection of ‘New Zealand’ was supported by Australian Research Council. A.S. was supported by the National Science Foundation (DEB-03089). D.C.L. was funded by a grant (UOW1201) from the Royal Society of New Zealand Marsden Fund. Y.L.B.P. was supported was supported by the EU Education for Competitiveness Operational Programme (reg. no. CZ.1.07/2.3.00/30.0006), by the European Social Fund and Czech State Budget, and the Marie Sklodowska-Curie Actions Individual Fellowship (MSCA-IF) within the European Program Horizon 2020 (DRYFUN Project 656035). N.G. was support by the AgreenSkills+ fellowship programme, which has received funding from the EU’s Seventh Framework Programme under grant agreement no. FP7-609398 (AgreenSkills+ contract). C.S. was supported by the Swiss National Science Foundation (PZ00P3_148261). Data collection of ‘Brazil’ was funded by the research network GENPAC (Geographical Genetics and Regional Planning for natural resources in Brazilian Cerrado) supported by CNPq/MCT/CAPES Brazil (563621/2010-9) and PELD/CNPq (558187/2009-9, 403833/2012-4) and FAPEG (2012102677001109). M.V.C. was supported by grant from CNPq (#306843/2012-9). M.A.B. was supported by the São Paulo Research Foundation (grant 2008/57502-0) and the Brazilian National Council for Scientific and Technological Development (grant 470653/2010-8).
Funding Information:
Fundação de Amparo à Pesquisa do Estado de Goiás, Grant/Award Number: 2012102677001109; CNPq, Grant/Award Number: 306843/2012-9; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo, Grant/Award Number: 2010/01835-0, 2013/50169-1 and 2014/06453-0; China Scholarship Council; National Natural Science Foundation of China, Grant/Award Number: 31270472; European Social Fund, Grant/Award Number: MJD47 and CZ.1.07/2.3.00/30.0006; Australian Research Council; Royal Society of New Zealand, Grant/Award Number: UOW1201; Czech State Budget; European Program Horizon 2020, Grant/Award Number: 656035; Swiss National Science Foundation, Grant/Award Number: PZ00P3_148261; CNPq/MCT/ CAPES, Grant/Award Number: 563621/2010-9; PELD/CNPq, Grant/Award Number: 558187/2009-9 and 403833/2012-4
Funding Information:
We thank Benjamin Blonder for the help in further developing his original method for n-dimensional hypervolume quantification. This research was funded by an NSERC Discovery grant to B.S. and by a CSC (China Scholarship Council) scholarship to Y.L. Data collection of ‘Hezuo’ was funded by National Natural Science Foundation of China (no. 31270472). Data ‘Panama’ was provided by Julie Messier. Data collection of ‘Saaremaa’ was funded by the European Union through the European Social Fund (MOBILITAS post-doctoral grant MJD47). V.L.D. was supported by São Paulo Research foundation (processes: 2010/01835-0, 2013/50169-1 and 2014/06453-0). Data collection of ‘New Zealand’ was supported by Australian Research Council. A.S. was supported by the National Science Foundation (DEB-03089). D.C.L. was funded by a grant (UOW1201) from the Royal Society of New Zealand Marsden Fund. Y.L.B.P. was supported was supported by the EU Education for Competitiveness Operational Programme (reg.no. CZ.1.07/2.3.00/30.0006), by the European Social Fund and Czech State Budget, and the Marie Sklodowska-Curie Actions Individual Fellowship (MSCA-IF) within the European Program Horizon 2020 (DRYFUN Project 656035). N.G. was support by the AgreenSkills+ fellowship programme, which has received funding from the EU's Seventh Framework Programme under grant agreement no. FP7-609398 (AgreenSkills+ contract). C.S. was supported by the Swiss National Science Foundation (PZ00P3_148261). Data collection of ‘Brazil’ was funded by the research network GENPAC (Geographical Genetics and Regional Planning for natural resources in Brazilian Cerrado) supported by CNPq/MCT/CAPES Brazil (563621/2010-9) and PELD/CNPq (558187/2009-9, 403833/2012-4) and FAPEG (2012102677001109). M.V.C. was supported by grant from CNPq (#306843/2012-9). M.A.B. was supported by the São Paulo Research Foundation (grant 2008/57502-0) and the Brazilian National Council for Scientific and Technological Development (grant 470653/2010-8). Data deposited in the Dryad Digital Repository: https://doi.org/10.5061/dryad.cn642 (Li et al.,).
Publisher Copyright:
© 2017 The Authors. Journal of Ecology © 2017 British Ecological Society
PY - 2018/5
Y1 - 2018/5
N2 - 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.
AB - 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.
KW - community assembly
KW - determinants of plant community diversity and structure
KW - habitat filtering
KW - intraspecific trait variability
KW - limiting similarity
KW - niche occupancy
KW - species richness
UR - http://www.scopus.com/inward/record.url?scp=85042661231&partnerID=8YFLogxK
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U2 - 10.1111/1365-2745.12802
DO - 10.1111/1365-2745.12802
M3 - Article
AN - SCOPUS:85042661231
SN - 0022-0477
VL - 106
SP - 1001
EP - 1009
JO - Journal of Ecology
JF - Journal of Ecology
IS - 3
ER -