dc.creatorde Araujo, CB
dc.creatorMarcondes-Machado, LO
dc.creatorCosta, GC
dc.date2014
dc.dateMAR
dc.date2014-07-30T19:41:31Z
dc.date2015-11-26T17:51:34Z
dc.date2014-07-30T19:41:31Z
dc.date2015-11-26T17:51:34Z
dc.date.accessioned2018-03-29T00:34:58Z
dc.date.available2018-03-29T00:34:58Z
dc.identifierJournal Of Biogeography. Wiley-blackwell, v. 41, n. 3, n. 513, n. 523, 2014.
dc.identifier0305-0270
dc.identifier1365-2699
dc.identifierWOS:000330907800009
dc.identifier10.1111/jbi.12234
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/73759
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/73759
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1290006
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionAimTo test the Eltonian noise hypothesis (ENH), that biotic interactions do not affect species distributions at large geographical scales. LocationThe Brazilian cerrado, a central South American savanna and biodiversity hotspot. MethodsWe modelled the distributions of 11 species of cerrado parrots using the software Maxent at four different spatial resolutions. We built models using abiotic variables, biotic variables (distribution of diet resources) and models combining abiotic and biotic variables. We compared model performance using the area under the curve of the receiver operating characteristic (AUC), retrieved from test data. We partitioned the variance between sets of predictors using a generalized linear model (GLM). Finally, we evaluated whether improvement in model performance (higher AUC values) in models with both abiotic and biotic variables, was related to the species' dietary niche breadth and/or spatial resolution of the models. ResultsWe found that model performance was improved in most cases by the addition of biotic variables. Our variance-partitioning approach revealed that abiotic and biotic variables contribute independently to the final model. We found no relationship between model improvement and spatial resolution. We also found no relationship between dietary niche breadth and model improvement, indicating that dietary generalist and specialist species were not differently affected by the inclusion of biotic variables in the models. Main conclusionsOur results did not support the ENH. In this study, we explicitly incorporated a biotic variable (diet resource distribution) into species distribution models (SDMs), and we showed that these variables generally improve models and have independent contributions. These results agree with previous studies that incorporated biotic variables into SDMs. Ultimately, our results indicate that SDMs performed with abiotic variables only may depict only a partial representation of the geographical distribution of a species.
dc.description41
dc.description3
dc.description513
dc.description523
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionCNPq [563352/2010-8, 140121/2009-9]
dc.languageen
dc.publisherWiley-blackwell
dc.publisherHoboken
dc.publisherEUA
dc.relationJournal Of Biogeography
dc.relationJ. Biogeogr.
dc.rightsfechado
dc.rightshttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dc.sourceWeb of Science
dc.subjectAUC
dc.subjectBrazilian cerrado
dc.subjectdiet
dc.subjectEltonian noise hypothesis
dc.subjectMaxent
dc.subjectniche modelling
dc.subjectniche theory
dc.subjectPsittacidae
dc.subjectspatial resolution
dc.subjectvariance partitioning
dc.subjectEcological Niche Models
dc.subjectClimate-change
dc.subjectRange Limits
dc.subjectAlipiopsitta-xanthops
dc.subjectImprove Prediction
dc.subjectEnvironmental Data
dc.subjectFeeding-behavior
dc.subjectSample-size
dc.subjectData Sets
dc.subjectEvolutionary
dc.titleThe importance of biotic interactions in species distribution models: a test of the Eltonian noise hypothesis using parrots
dc.typeArtículos de revistas


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