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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/18804
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dc.contributor.authorSerra, Hiraldo-
dc.contributor.authorda Silva, Izabel Cristina Rodrigues-
dc.contributor.authorde Arruda Mancera, Paulo Fernando-
dc.contributor.authorDel Bianco Faria, Lucas-
dc.contributor.authorVon Zuben, Claudio Jose-
dc.contributor.authorVon Zuben, Fernando Jose-
dc.contributor.authordos Reis, Sergio Furtado-
dc.contributor.authorConde Godoy, Wesley Augusto-
dc.date.accessioned2014-05-20T13:52:40Z-
dc.date.accessioned2016-10-25T17:03:35Z-
dc.date.available2014-05-20T13:52:40Z-
dc.date.available2016-10-25T17:03:35Z-
dc.date.issued2007-07-01-
dc.identifierhttp://dx.doi.org/10.1007/s11284-006-0322-3-
dc.identifier.citationEcological Research. Tokyo: Springer Tokyo, v. 22, n. 4, p. 686-695, 2007.-
dc.identifier.issn0912-3814-
dc.identifier.urihttp://hdl.handle.net/11449/18804-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/18804-
dc.description.abstractIn this study we explored the stochastic population dynamics of three exotic blowfly species, Chrysomya albiceps, Chrysomya megacephala and Chrysomya putoria, and two native species, Cochliomyia macellaria and Lucilia eximia, by combining a density-dependent growth model with a two-patch metapopulation model. Stochastic fecundity, survival and migration were investigated by permitting random variations between predetermined demographic boundary values based on experimental data. Lucilia eximia and Chrysomya albiceps were the species most susceptible to the risk of local extinction. Cochliomyia macellaria, C. megacephala and C. putoria exhibited lower risks of extinction when compared to the other species. The simultaneous analysis of stochastic fecundity and survival revealed an increase in the extinction risk for all species. When stochastic fecundity, survival and migration were simulated together, the coupled populations were synchronized in the five species. These results are discussed, emphasizing biological invasion and interspecific interaction dynamics.en
dc.format.extent686-695-
dc.language.isoeng-
dc.publisherSpringer-
dc.sourceWeb of Science-
dc.subjectstochastic dynamicspt
dc.subjectblowfliespt
dc.subjectcoupled populationspt
dc.titleStochastic dynamics in exotic and native blowflies: an analysis combining laboratory experiments and a two-patch metapopulation modelen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade de Brasília (UnB)-
dc.contributor.institutionLab Nacl Computacao Cientif-
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)-
dc.description.affiliationUniv Estadual Paulista, Inst Biociencias, Dept Parasitol, BR-18618000 Botucatu, SP, Brazil-
dc.description.affiliationUniv Brasilia, Dept Biol Celular, BR-70910 Brasilia, DF, Brazil-
dc.description.affiliationUniv Estadual Paulista, Inst Biociencias, Dept Bioestadist, BR-18618000 Botucatu, SP, Brazil-
dc.description.affiliationLab Nacl Computacao Cientif, Coordenacao Sist Controle, BR-25650028 Petropolis, RJ, Brazil-
dc.description.affiliationUniv Estadualista Paulista, Inst Biociencias, Dept Zool, Rio Claro, SP, Brazil-
dc.description.affiliationUniv Estadual Campinas, Fac Engn Elet & Comp, Dept Engn Comp & Automacao Ind, BR-13081970 Campinas, SP, Brazil-
dc.description.affiliationUniv Estadual Campinas, Inst Biol, Dept Parasitol, BR-13081970 Campinas, SP, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, Inst Biociencias, Dept Parasitol, BR-18618000 Botucatu, SP, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, Inst Biociencias, Dept Bioestadist, BR-18618000 Botucatu, SP, Brazil-
dc.identifier.doi10.1007/s11284-006-0322-3-
dc.identifier.wosWOS:000247638400020-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofEcological Research-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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