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dc.contributor.CRUESPUNIVERSIDADE DE ESTADUAL DE CAMPINASpt_BR
dc.identifier.isbn1600-0706pt
dc.typeArtigo de Periódicopt_BR
dc.titleNetwork Analyses Support The Role Of Prey Preferences In Shaping Resource Use Patterns Within Five Animal Populationspt_BR
dc.contributor.authorLemos-Costapt_BR
dc.contributor.authorP; Pirespt_BR
dc.contributor.authorMM; Araujopt_BR
dc.contributor.authorMS; de Aguiarpt_BR
dc.contributor.authorMAM; Guimaraespt_BR
dc.contributor.authorPRpt_BR
unicamp.author.emailprguima@usp.brpt_BR
dc.description.abstractIndividual variation is an inherent aspect of animal populations and understanding the mechanisms shaping resource use patterns within populations is crucial to comprehend how individuals partition resources. Theory predicts that differences in prey preferences among consumers and/or differences in the likelihood of adding new resources to their diets are key mechanisms underlying intrapopulation variation in resource use. We developed network models based on optimal diet theory that simulate how individuals consume resources under varying scenarios of individual variation in prey preferences and in the willingness of consuming alternate resources. We then investigated how the structure of individual-resource networks generated under each model compared to the structure of observed networks representing five classical examples of individual diet variation. Our results support the notion that, for the studied populations, individual variation in prey preferences is the major factor explaining patterns in individual-resource networks. In contrast, variation in the willingness of adding prey does not seem to play an important role in shaping patterns of resource use. Individual differences in prey preferences in the studied populations may be generated by complex behavioral rules related to cognitive constraints and experience. Our approach provides a pathway for mapping foraging models into network patterns, which may allow determining the possible mechanisms leading to variation in resource use within populations.en
dc.relation.ispartofOikospt_BR
dc.publisher.cityHOBOKENpt_BR
dc.publisherWILEY-BLACKWELLpt_BR
dc.date.issued2016pt_BR
dc.identifier.citationOikos. WILEY-BLACKWELL, n. 125, n. 4, p. 492 - 501.pt_BR
dc.language.isoEnglishpt_BR
dc.description.volume125pt_BR
dc.description.firstpage492pt_BR
dc.description.lastpage501pt_BR
dc.rightsfechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn1600-0706pt_BR
dc.identifier.wosidWOS:000373610700006pt_BR
dc.identifier.doi10.1111/oik.03006pt_BR
dc.identifier.urlhttp://onlinelibrary-wiley-com.ez88.periodicos.capes.gov.br/doi/10.1111/oik.03006/abstractpt_BR
dc.description.sponsorshipSao Paulo Research Foundation (Fundacao de Amparo a Pesquisa do Estado de Sao Paulo - FAPESP) [2010/13996-9, 2009/54567-6, 2010/15567-8, 2014/04036-2, 2009/54422-8]pt_BR
dc.description.sponsorshipNational Council of Scientific and Technological Development (CNPq)pt_BR
dc.description.sponsorship1Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorship1Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.date.available2016-12-06T18:29:27Z-
dc.date.accessioned2016-12-06T18:29:27Z-
dc.description.provenanceMade available in DSpace on 2016-12-06T18:29:27Z (GMT). No. of bitstreams: 1 000373610700006.pdf: 293802 bytes, checksum: f87bd0173564adad5672eb265f2aadcc (MD5) Previous issue date: 2016 Bitstreams deleted on 2020-09-02T13:42:06Z: 000373610700006.pdf,. Added 1 bitstream(s) on 2020-09-02T13:46:22Z : No. of bitstreams: 1 000373610700006.pdf: 330994 bytes, checksum: 449c3cfa41c43b099633093f99525427 (MD5)en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/319780-
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