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dc.contributor.authorKraenkel, Roberto André-
dc.contributor.authorPamplona da Silva, D. J.-
dc.date.accessioned2013-09-30T18:55:56Z-
dc.date.accessioned2014-05-20T14:10:35Z-
dc.date.accessioned2016-10-25T17:21:25Z-
dc.date.available2013-09-30T18:55:56Z-
dc.date.available2014-05-20T14:10:35Z-
dc.date.available2016-10-25T17:21:25Z-
dc.date.issued2010-01-01-
dc.identifierhttp://dx.doi.org/10.1016/j.physa.2009.09.023-
dc.identifier.citationPhysica A-statistical Mechanics and Its Applications. Amsterdam: Elsevier B.V., v. 389, n. 1, p. 60-66, 2010.-
dc.identifier.issn0378-4371-
dc.identifier.urihttp://hdl.handle.net/11449/24347-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/24347-
dc.description.abstractWe consider the dynamics of a biological population described by the Fisher-Kolmogorov Petrovskii-Piskunov (FKPP) equation in the case where the spatial domain consists of alternating favorable and adverse patches whose sizes are distributed randomly. For the one-dimensional case we define a stochastic analogue of the classical critical patch size We address the Issue of persistence of a population and we show that the fraction of the length of favorable segments to the total length is always smaller in the stochastic case than in a periodic arrangement. In this sense, spatial stochasticity favors viability of a population. (C) 2009 Elsevier B.V. All rights reserved.en
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
dc.format.extent60-66-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectPopulation dynamicsen
dc.subjectFisher-Kolmogorov-Petrovski-Piskunov equationen
dc.subjectFragmentationen
dc.subjectSpatial stochasticityen
dc.subjectReaction-diffusionen
dc.titleStochastic Skellam modelen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv Estadual Paulista, Inst Fis Teor, BR-01140070 São Paulo, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, Inst Fis Teor, BR-01140070 São Paulo, Brazil-
dc.identifier.doi10.1016/j.physa.2009.09.023-
dc.identifier.wosWOS:000271685900008-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofPhysica A: Statistical Mechanics and Its Applications-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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