Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populations

The dynamics of spatially structured populations is characterized by within- and between-patch processes. The available theory describes the latter with simple distance-dependent functions that depend on landscape properties such as interpatch distance or patch size. Despite its potential role, we l...

Descripción completa

Detalles Bibliográficos
Autores: Revilla, Eloy, Wiegand, Thorsten
Tipo de recurso: artículo
Fecha de publicación:2008
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/51753
Acceso en línea:http://hdl.handle.net/10261/51753
Access Level:acceso abierto
Palabra clave:Demography
Iberian lynx
metapopulation
population dynamics
source-sink
id ES_cc79ddcf4533aeffcd86f2b1ca7eb6a6
oai_identifier_str oai:digital.csic.es:10261/51753
network_acronym_str ES
network_name_str España
repository_id_str
spelling Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populationsRevilla, EloyWiegand, ThorstenDemographyIberian lynxmetapopulationpopulation dynamicssource-sinkThe dynamics of spatially structured populations is characterized by within- and between-patch processes. The available theory describes the latter with simple distance-dependent functions that depend on landscape properties such as interpatch distance or patch size. Despite its potential role, we lack a good mechanistic understanding of how the movement of individuals between patches affects the dynamics of these populations. We used the theoretical framework provided by movement ecology to make a direct representation of the processes determining how individuals connect local populations in a spatially structured population of Iberian lynx. Interpatch processes depended on the heterogeneity of the matrix where patches are embedded and the parameters defining individual movement behavior. They were also very sensitive to the dynamic demographic variables limiting the time moving, the within-patch dynamics of available settlement sites (both spatiotemporally heterogeneous) and the response of individuals to the perceived risk while moving. These context-dependent dynamic factors are an inherent part of the movement process, producing connectivities and dispersal kernels whose variability is affected by other demographic processes. Mechanistic representations of interpatch movements, such as the one provided by the movement-ecology framework, permit the dynamic interaction of birth–death processes and individual movement behavior, thus improving our understanding of stochastic spatially structured populations.Peer reviewedNational Academy of Sciences (U.S.)201220122008info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/51753reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1073/pnas.0801725105info:eu-repo/semantics/openAccessoai:digital.csic.es:10261/517532026-05-22T06:33:51Z
dc.title.none.fl_str_mv Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populations
title Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populations
spellingShingle Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populations
Revilla, Eloy
Demography
Iberian lynx
metapopulation
population dynamics
source-sink
title_short Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populations
title_full Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populations
title_fullStr Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populations
title_full_unstemmed Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populations
title_sort Individual movement behavior, matrix heterogeneity, and the dynamics of spatially structured populations
dc.creator.none.fl_str_mv Revilla, Eloy
Wiegand, Thorsten
author Revilla, Eloy
author_facet Revilla, Eloy
Wiegand, Thorsten
author_role author
author2 Wiegand, Thorsten
author2_role author
dc.subject.none.fl_str_mv Demography
Iberian lynx
metapopulation
population dynamics
source-sink
topic Demography
Iberian lynx
metapopulation
population dynamics
source-sink
description The dynamics of spatially structured populations is characterized by within- and between-patch processes. The available theory describes the latter with simple distance-dependent functions that depend on landscape properties such as interpatch distance or patch size. Despite its potential role, we lack a good mechanistic understanding of how the movement of individuals between patches affects the dynamics of these populations. We used the theoretical framework provided by movement ecology to make a direct representation of the processes determining how individuals connect local populations in a spatially structured population of Iberian lynx. Interpatch processes depended on the heterogeneity of the matrix where patches are embedded and the parameters defining individual movement behavior. They were also very sensitive to the dynamic demographic variables limiting the time moving, the within-patch dynamics of available settlement sites (both spatiotemporally heterogeneous) and the response of individuals to the perceived risk while moving. These context-dependent dynamic factors are an inherent part of the movement process, producing connectivities and dispersal kernels whose variability is affected by other demographic processes. Mechanistic representations of interpatch movements, such as the one provided by the movement-ecology framework, permit the dynamic interaction of birth–death processes and individual movement behavior, thus improving our understanding of stochastic spatially structured populations.
publishDate 2008
dc.date.none.fl_str_mv 2008
2012
2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/51753
url http://hdl.handle.net/10261/51753
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1073/pnas.0801725105
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv National Academy of Sciences (U.S.)
publisher.none.fl_str_mv National Academy of Sciences (U.S.)
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419723279564800
score 15,81155

Similares en LA Referencia