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dc.contributor.authorBerbert, Juliana M.-
dc.contributor.authorFagan, William F.-
dc.date.accessioned2013-09-30T18:56:17Z-
dc.date.accessioned2014-05-20T14:10:45Z-
dc.date.accessioned2016-10-25T17:21:43Z-
dc.date.available2013-09-30T18:56:17Z-
dc.date.available2014-05-20T14:10:45Z-
dc.date.available2016-10-25T17:21:43Z-
dc.date.issued2012-12-01-
dc.identifierhttp://dx.doi.org/10.1016/j.ecocom.2012.07.001-
dc.identifier.citationEcological Complexity. Amsterdam: Elsevier B.V., v. 12, p. 1-12, 2012.-
dc.identifier.issn1476-945X-
dc.identifier.urihttp://hdl.handle.net/11449/24358-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/24358-
dc.description.abstractRecent studies have suggested that the long distance movements of some terrestrial mammals are not migratory, but rather nomadic. Moreover, the spatial heterogeneity and temporal predictability of resources were proposed as factors contributing to alternative movement strategies, such as sedentarism (i.e., range residency), migration, and nomadism. Here, we propose that, at the individual level, a dependence on spatial memory is another important parameter for distinguishing among population-level patterns of spatial distribution. For instance, migratory animals would have a long memory of the areas they prefer to revisit, whereas nomadic animals would remember recently visited areas as places to avoid as they search for resources. We develop a computational model in which individuals movement decisions are based on the animals' spatial memory of previously visited areas. Through this approach, we delineate how the interplay between landscape persistence and spatial memory leads to sedentarism, migration, and nomadism. (C) 2012 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
dc.description.sponsorshipNSF-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectAnimal movementen
dc.subjectMovement patternsen
dc.subjectForaging strategyen
dc.subjectPartially self-avoiding walken
dc.subjectMigrationen
dc.subjectNomadismen
dc.titleHow the interplay between individual spatial memory and landscape persistence can generate population distribution patternsen
dc.typeoutro-
dc.contributor.institutionUniversity of Maryland-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv Maryland, Dept Biol, College Pk, MD 20742 USA-
dc.description.affiliationUniv Estadual Paulista UNESP, IFT, BR-01156970 São Paulo, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista UNESP, IFT, BR-01156970 São Paulo, Brazil-
dc.description.sponsorshipIdFAPESP: 09/11567-6-
dc.description.sponsorshipIdNSF: DEB/QEIB 0743557-
dc.description.sponsorshipIdNSF: ABI 1062411-
dc.identifier.doi10.1016/j.ecocom.2012.07.001-
dc.identifier.wosWOS:000312415400001-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofEcological Complexity-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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