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Metacommunity detectives: Confronting models based on niche and stochastic assembly scenarios with empirical data from a tropical stream network

dc.contributor.authorValente-Neto, Francisco
dc.contributor.authorDurães, Lucas
dc.contributor.authorSiqueira, Tadeu [UNESP]
dc.contributor.authorRoque, Fabio O.
dc.contributor.institutionUniversidade Federal de Mato Grosso do Sul (UFMS)
dc.contributor.institutionInstituto Chico Mendes de Conservação da Biodiversidade (ICMBio)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal do Mato Grosso do Sul
dc.contributor.institutionJames Cook University
dc.date.accessioned2018-12-11T16:50:34Z
dc.date.available2018-12-11T16:50:34Z
dc.date.issued2018-01-01
dc.description.abstractMetacommunity models predict that species richness and composition patterns in communities are determined predominantly by environmental selection and dispersal, with speciation and drift playing a lesser role. In the tropics, our understanding about these processes comes almost purely from empirical data; there is lack of formal confrontation between models and data. Here, we evaluated if a metacommunity simulation model designed for riverine networks could predict insect diversity patterns observed in a tropical stream network within the Atlantic Forest biome. Our individual-oriented model simulated biological processes, including dispersal of adults, oviposition, dispersal of larvae, colonisation and mortality. We used this model to simulate communities considering three assembly scenarios (niche, niche–stochastic and stochastic) and three flight dispersal ability groups (low, medium and high). To parameterise the model, we used data from 97 riffle communities, distributed along a stream network, and biological data from the literature. For the high dispersal ability group, none of the assembly scenarios significantly predicted the observed richness and community dissimilarity. The niche–stochastic assembly scenario, however, provided a better approximation of observed richness and community dissimilarity for the medium and low dispersal ability groups. Our results show that deterministic and stochastic processes combine to better explain observed aquatic insect diversity patterns. Although simulations were limited to similar explanatory power to studies using pattern-oriented approaches, our findings highlight the promise of a more predictive use of metacommunity simulation models.en
dc.description.affiliationPrograma de Pós-Graduação em Ecologia e Conservação Universidade Federal de Mato Grosso do Sul
dc.description.affiliationInstituto Chico Mendes de Conservação da Biodiversidade (ICMBio)
dc.description.affiliationDepartamento de Ecologia Instituto de Biociências Universidade Estadual Paulista (Unesp)
dc.description.affiliationCentro de Ciências Biológicas e da Saúde Universidade Federal do Mato Grosso do Sul
dc.description.affiliationCentre for Tropical Environmental and Sustainability Science (TESS) James Cook University
dc.description.affiliationUnespDepartamento de Ecologia Instituto de Biociências Universidade Estadual Paulista (Unesp)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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.sponsorshipFundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul
dc.description.sponsorshipIdCAPES: 1671210
dc.description.sponsorshipIdFAPESP: 2013/50424-1
dc.format.extent86-99
dc.identifierhttp://dx.doi.org/10.1111/fwb.13050
dc.identifier.citationFreshwater Biology, v. 63, n. 1, p. 86-99, 2018.
dc.identifier.doi10.1111/fwb.13050
dc.identifier.issn1365-2427
dc.identifier.issn0046-5070
dc.identifier.scopus2-s2.0-85034237490
dc.identifier.urihttp://hdl.handle.net/11449/170384
dc.language.isoeng
dc.relation.ispartofFreshwater Biology
dc.relation.ispartofsjr1,603
dc.relation.ispartofsjr1,603
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectassembly rules
dc.subjectdendritic networks
dc.subjectNeotropical streams
dc.subjectsimulation model
dc.titleMetacommunity detectives: Confronting models based on niche and stochastic assembly scenarios with empirical data from a tropical stream networken
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication
unesp.author.orcid0000-0002-5298-3753[1]

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