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Functional traits and environmental conditions predict community isotopic niches and energy pathways across spatial scales

dc.contributor.authorDézerald, Olivier
dc.contributor.authorSrivastava, Diane S.
dc.contributor.authorCéréghino, Régis
dc.contributor.authorCarrias, Jean-François
dc.contributor.authorCorbara, Bruno
dc.contributor.authorFarjalla, Vinicius F.
dc.contributor.authorLeroy, Céline
dc.contributor.authorMarino, Nicholas A. C.
dc.contributor.authorPiccoli, Gustavo C. O. [UNESP]
dc.contributor.authorRichardson, Barbara A.
dc.contributor.authorRichardson, Michael J.
dc.contributor.authorRomero, Gustavo Q.
dc.contributor.authorGonzález, Angélica L.
dc.contributor.institutionThe State University of NJ
dc.contributor.institutionUniversité de Lorraine
dc.contributor.institutionUniversity of British Columbia
dc.contributor.institutionUniversité de Toulouse
dc.contributor.institutionUniversité Clermont Auvergne
dc.contributor.institutionLMGE
dc.contributor.institutionUniversidade Federal do Rio de Janeiro (UFRJ)
dc.contributor.institutionUniversité Montpellier
dc.contributor.institutionUniversité des Antilles)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversity of Puerto Rico at Rio Piedras
dc.date.accessioned2019-10-06T15:58:53Z
dc.date.available2019-10-06T15:58:53Z
dc.date.issued2018-10-01
dc.description.abstractDespite ongoing research in food web ecology and functional biogeography, the links between food web structure, functional traits and environmental conditions across spatial scales remain poorly understood. Trophic niches, defined as the amount of energy and elemental space occupied by species and food webs, may help bridge this divide. Here, we ask how the functional traits of species, the environmental conditions of habitats and the spatial scale of analysis jointly determine the characteristics of trophic niches. We used isotopic niches as a proxy of trophic niches, and conducted analyses at spatial scales ranging from local food webs and metacommunities to geographically distant sites. We sampled aquatic macroinvertebrates from 104 tank bromeliads distributed across five sites from Central to South America and compiled the macroinvertebrates’ functional traits and stable isotope values (δ15N and δ13C). We assessed how isotopic niches within each bromeliad were influenced by the functional trait composition of their associated invertebrates and environmental conditions (i.e., habitat size, canopy cover [CC] and detrital concentration [DC]). We then evaluated whether the diet of dominant predators and, consequently, energy pathways within food webs reflected functional and environmental changes among bromeliads across sites. At last, we determined the extent to which the isotopic niches of macroinvertebrates within each bromeliad contributed to the metacommunity isotopic niches within each site and compared these metacommunity-level niches over biogeographic scales. At the bromeliad level, isotopic niches increased with the functional richness of species in the food web and the DC in the bromeliad. The diet of top predators tracked shifts in prey biomass along gradients of CC and DC. Bromeliads that grew under heterogeneous CC displayed less trophic redundancy and therefore combined to form larger metacommunity isotopic niches. At last, the size of metacommunity niches depended on within-site heterogeneity in CC. Our results suggest that the trophic niches occupied by food webs can predictably scale from local food webs to metacommunities to biogeographic regions. This scaling process is determined by both the functional traits of species and heterogeneity in environmental conditions. A plain language summary is available for this article.en
dc.description.affiliationDepartment of Biology and Center for Computational and Integrative Biology Rutgers The State University of NJ
dc.description.affiliationLaboratoire Interdisciplinaire des Environnements Continentaux (LIEC)-CNRS UMR 7360 Université de Lorraine
dc.description.affiliationDepartment of Zoology & Biodiversity Research Centre University of British Columbia
dc.description.affiliationEcolab Laboratoire Ecologie Fonctionnelle et Environnement CNRS Université de Toulouse
dc.description.affiliationCNRS LMGE (Laboratoire Microorganismes: Génome et Environnement) Université Clermont Auvergne
dc.description.affiliationCNRS UMR 6023 LMGE Campus Universitaire des Cézeaux
dc.description.affiliationDepartamento de Ecologia Instituto de Biologia Universidade Federal do Rio de Janeiro (UFRJ)
dc.description.affiliationAMAP IRD CIRAD CNRS INRA Université Montpellier
dc.description.affiliationUMR Ecologie des Forêts de Guyane (AgroParisTech CIRAD CNRS INRA Université de Guyane Université des Antilles)
dc.description.affiliationGraduate Program in Animal Biology IBILCE State University of São Paulo (UNESP)
dc.description.affiliationDepartment of Animal Biology Institute of Biology University of Campinas (UNICAMP)
dc.description.affiliationLuquillo LTER Institute for Tropical Ecosystem Studies College of Natural Sciences University of Puerto Rico at Rio Piedras
dc.description.affiliationUnespGraduate Program in Animal Biology IBILCE State University of São Paulo (UNESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipAgence Nationale de la Recherche
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada
dc.description.sponsorshipUniversidad de Puerto Rico
dc.description.sponsorshipU.S. Department of Agriculture
dc.description.sponsorshipIdCAPES: 20130877
dc.description.sponsorshipIdAgence Nationale de la Recherche: ANR-10-LABX-25-01
dc.description.sponsorshipIdU.S. Department of Agriculture: 01-1G11120101-001
dc.format.extent2423-2434
dc.identifierhttp://dx.doi.org/10.1111/1365-2435.13142
dc.identifier.citationFunctional Ecology, v. 32, n. 10, p. 2423-2434, 2018.
dc.identifier.doi10.1111/1365-2435.13142
dc.identifier.issn1365-2435
dc.identifier.issn0269-8463
dc.identifier.scopus2-s2.0-85054339239
dc.identifier.urihttp://hdl.handle.net/11449/188150
dc.language.isoeng
dc.relation.ispartofFunctional Ecology
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectenergy pathways
dc.subjectenvironmental heterogeneity
dc.subjectfood webs
dc.subjectfunctional biogeography
dc.subjectfunctional diversity
dc.subjectisotopic niche
dc.subjectmetacommunity
dc.subjecttrophic structure
dc.titleFunctional traits and environmental conditions predict community isotopic niches and energy pathways across spatial scalesen
dc.typeArtigo
dspace.entity.typePublication
unesp.author.orcid0000-0002-9987-9865[1]
unesp.author.orcid0000-0003-3981-3159[3]
unesp.author.orcid0000-0003-3736-4759[12]
unesp.author.orcid0000-0002-4636-6329[13]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentBiologia - IBILCEpt

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