You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/75258
Full metadata record
DC FieldValueLanguage
dc.contributor.authorEklöf, Anna-
dc.contributor.authorJacob, Ute-
dc.contributor.authorKopp, Jason-
dc.contributor.authorBosch, Jordi-
dc.contributor.authorCastro-Urgal, Rocío-
dc.contributor.authorChacoff, Natacha P.-
dc.contributor.authorDalsgaard, Bo-
dc.contributor.authorde Sassi, Claudio-
dc.contributor.authorGaletti, Mauro-
dc.contributor.authorGuimarães, Paulo R.-
dc.contributor.authorLomáscolo, Silvia Beatriz-
dc.contributor.authorMartín González, Ana M.-
dc.contributor.authorPizo, Marco Aurelio-
dc.contributor.authorRader, Romina-
dc.contributor.authorRodrigo, Anselm-
dc.contributor.authorTylianakis, Jason M.-
dc.contributor.authorVázquez, Diego P.-
dc.contributor.authorAllesina, Stefano-
dc.date.accessioned2014-05-27T11:29:02Z-
dc.date.accessioned2016-10-25T18:48:01Z-
dc.date.available2014-05-27T11:29:02Z-
dc.date.available2016-10-25T18:48:01Z-
dc.date.issued2013-05-01-
dc.identifierhttp://dx.doi.org/10.1111/ele.12081-
dc.identifier.citationEcology Letters, v. 16, n. 5, p. 577-583, 2013.-
dc.identifier.issn1461-023X-
dc.identifier.issn1461-0248-
dc.identifier.urihttp://hdl.handle.net/11449/75258-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/75258-
dc.description.abstractHow many dimensions (trait-axes) are required to predict whether two species interact? This unanswered question originated with the idea of ecological niches, and yet bears relevance today for understanding what determines network structure. Here, we analyse a set of 200 ecological networks, including food webs, antagonistic and mutualistic networks, and find that the number of dimensions needed to completely explain all interactions is small (< 10), with model selection favouring less than five. Using 18 high-quality webs including several species traits, we identify which traits contribute the most to explaining network structure. We show that accounting for a few traits dramatically improves our understanding of the structure of ecological networks. Matching traits for resources and consumers, for example, fruit size and bill gape, are the most successful combinations. These results link ecologically important species attributes to large-scale community structure. © 2013 Blackwell Publishing Ltd/CNRS.en
dc.format.extent577-583-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectEcological networks-
dc.subjectFood web structure-
dc.subjectIntervality-
dc.subjectNiche space-
dc.subjectScaling-
dc.subjectSpecies traits-
dc.subjectantagonism-
dc.subjectcommunity structure-
dc.subjectconsumer-resource interaction-
dc.subjectecological modeling-
dc.subjectfood web-
dc.subjectinterspecific interaction-
dc.subjectlife history trait-
dc.subjectmutualism-
dc.subjectnetwork design-
dc.subjectniche-
dc.subjectsocial network-
dc.titleThe dimensionality of ecological networksen
dc.typeoutro-
dc.contributor.institutionUniversity of Chicago-
dc.contributor.institutionInstitute for Hydrobiology and Fisheries Science-
dc.contributor.institutionUniversitat Autónoma de Barcelona-
dc.contributor.institutionInstitut Mediterrani d'Estudis Avançats (CSIC-UIB)-
dc.contributor.institutionInstituto Argentino de Investigaciones de las Zonas Áridas, CONICET-
dc.contributor.institutionUniversity of Copenhagen-
dc.contributor.institutionUniversity of Canterbury-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionUniversidad Nacional de Cuyo-
dc.contributor.institutionPacific Ecoinformatics and Computational Ecology Lab-
dc.contributor.institutionStockholm University-
dc.contributor.institutionLinköping University-
dc.description.affiliationDepartment of Ecology and Evolution University of Chicago, Chicago, IL-
dc.description.affiliationInstitute for Hydrobiology and Fisheries Science, Hamburg-
dc.description.affiliationCREAF - Ecology Unit Universitat Autónoma de Barcelona, Barcelona-
dc.description.affiliationInstitut Mediterrani d'Estudis Avançats (CSIC-UIB), Mallorca, Balearic Islands-
dc.description.affiliationInstituto Argentino de Investigaciones de las Zonas Áridas, CONICET, Mendoza-
dc.description.affiliationCenter for Macroecology, Evolution and Climate Department of Biology University of Copenhagen, Copenhagen-
dc.description.affiliationSchool of Biological Sciences University of Canterbury, Canterbury-
dc.description.affiliationDepartamento de Ecologia Universidade Estadual Paulista, Rio Claro-
dc.description.affiliationDepartamento de Ecologia I.B, Universidade de São Paulo, Sao Paulo-
dc.description.affiliationInstituto de Ciencias Básicas Universidad Nacional de Cuyo, Mendoza-
dc.description.affiliationPacific Ecoinformatics and Computational Ecology Lab, Berkeley, CA-
dc.description.affiliationDepartamento de Zoologia Universidade Estadual Paulista, São Paulo-
dc.description.affiliationDepartment of Physical Geography and Quaternary Geology Stockholm University, Stockholm-
dc.description.affiliationComputation Institute University of Chicago, Chicago-
dc.description.affiliationDepartment of Physics, chemistry and biology Linköping University, Linköping, SE-581 83-
dc.description.affiliationUnespDepartamento de Ecologia Universidade Estadual Paulista, Rio Claro-
dc.description.affiliationUnespDepartamento de Zoologia Universidade Estadual Paulista, São Paulo-
dc.identifier.doi10.1111/ele.12081-
dc.identifier.wosWOS:000318077200002-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofEcology Letters-
dc.identifier.scopus2-s2.0-84876713348-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.