Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/4205
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dc.contributor.authorRozenfeld, A. F.-
dc.contributor.authorArnaud-Haond, S.-
dc.contributor.authorHernández-García, E.-
dc.contributor.authorEguíluz, V. M.-
dc.contributor.authorSerrão, Ester-
dc.contributor.authorDuarte, C. M.-
dc.date.accessioned2014-06-05T14:10:56Z-
dc.date.available2014-06-05T14:10:56Z-
dc.date.issued2008-
dc.identifier.citationRozenfeld, A.F.; Arnaud-Haond, S.; Hernández-García, E.; Eguíluz, V.M.; Serrão, E.A.; Duarte, C.M.Network analysis identifies weak and strong links in a metapopulation system, Proceedings of the National Academy of Sciences of the United States of America, 105, 48, 18824-18829, 2008.por
dc.identifier.otherAUT: ESE00527;-
dc.identifier.urihttp://hdl.handle.net/10400.1/4205-
dc.description.abstractThe identification of key populations shaping the structure and connectivity of metapopulation systems is a major challenge in population ecology. The use of molecular markers in the theoretical framework of population genetics has allowed great advances in this field, but the prime question of quantifying the role of each population in the system remains unresolved. Furthermore, the use and interpretation of classical methods are still bounded by the need for a priori information and underlying assumptions that are seldom respected in natural systems. Network theory was applied to map the genetic structure in a metapopulation system by using microsatellite data from populations of a threatened seagrass, Posidonia oceanica, across its whole geographical range. The network approach, free from a priori assumptions and from the usual underlying hypotheses required for the interpretation of classical analyses, allows both the straightforward characterization of hierarchical population structure and the detection of populations acting as hubs critical for relaying gene flow or sustaining the metapopulation system. This development opens perspectives in ecology and evolution in general, particularly in areas such as conservation biology and epidemiology, where targeting specific populations is crucial.por
dc.language.isoengpor
dc.publisherBrown, James H.por
dc.rightsopenAccesspor
dc.subjectConservation biologypor
dc.subjectGene flowpor
dc.subjectNetworkspor
dc.subjectPopulation geneticspor
dc.titleNetwork analysis identifies weak and strong links in a metapopulation systempor
dc.typeconferenceObjectpor
dc.date.updated2014-05-21T13:33:40Z-
degois.publication.issue48por
degois.publication.firstPage18824por
degois.publication.lastPage18829por
degois.publication.titleProceedings of the National Academy of Sciences of the United States of Americapor
dc.relation.publisherversionhttp://www.pnas.org/content/105/48/18824.abstractpor
dc.peerreviewedyespor
degois.publication.volume105por
dc.identifier.doihttp://dx.doi.org/ 10.1073/pnas.0805571105-
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