Assessing the robustness of networks of spatial genetic variation

Habitat transformation is one of the leading drivers of biodiversity loss. The ecological effects of this trans- formation have mainly been addressed at the demographic level, for example, finding extinction thresholds. However, interpopulation genetic variability and the subsequent potential for ad...

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Detalles Bibliográficos
Autores: Albert, Eva M., Fortuna, Miguel A., Godoy, José A., Bascompte, Jordi
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/77436
Acceso en línea:http://hdl.handle.net/10261/77436
Access Level:acceso abierto
Palabra clave:Ecological networks
Amphibian metapopulation
Modularity
resilience
Alytes dickhilleni
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spelling Assessing the robustness of networks of spatial genetic variationAlbert, Eva M.Fortuna, Miguel A.Godoy, José A.Bascompte, JordiEcological networksAmphibian metapopulationModularityresilienceAlytes dickhilleniHabitat transformation is one of the leading drivers of biodiversity loss. The ecological effects of this trans- formation have mainly been addressed at the demographic level, for example, finding extinction thresholds. However, interpopulation genetic variability and the subsequent potential for adaptation can be eroded before effects are noticed on species abundances. To what degree this is the case has been difficult to eval- uate, partly because of the lack of both spatially extended genetic data and an appropriate framework to map and analyse such data. Here, we extend recent work on the analysis of networks of spatial genetic var- iation to address the robustness of these networks in the face of perturbations. We illustrate the potential of this framework using the case study of an amphibian metapopulation. Our results show that while the disappearance of some spatial sites barely changes the modular structure of the genetic network, other sites have a much stronger effect. Interestingly, these consequences can not be anticipated using topological, sta- tic measures. Mapping these networks of spatial genetic variation will allow identifying significant evolution- ary units and how they vanish, merge and reorganise following perturbations.Peer reviewedJohn Wiley & Sons201320132013info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/77436reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1111/ele.12061info:eu-repo/semantics/openAccessoai:digital.csic.es:10261/774362026-05-22T06:33:51Z
dc.title.none.fl_str_mv Assessing the robustness of networks of spatial genetic variation
title Assessing the robustness of networks of spatial genetic variation
spellingShingle Assessing the robustness of networks of spatial genetic variation
Albert, Eva M.
Ecological networks
Amphibian metapopulation
Modularity
resilience
Alytes dickhilleni
title_short Assessing the robustness of networks of spatial genetic variation
title_full Assessing the robustness of networks of spatial genetic variation
title_fullStr Assessing the robustness of networks of spatial genetic variation
title_full_unstemmed Assessing the robustness of networks of spatial genetic variation
title_sort Assessing the robustness of networks of spatial genetic variation
dc.creator.none.fl_str_mv Albert, Eva M.
Fortuna, Miguel A.
Godoy, José A.
Bascompte, Jordi
author Albert, Eva M.
author_facet Albert, Eva M.
Fortuna, Miguel A.
Godoy, José A.
Bascompte, Jordi
author_role author
author2 Fortuna, Miguel A.
Godoy, José A.
Bascompte, Jordi
author2_role author
author
author
dc.subject.none.fl_str_mv Ecological networks
Amphibian metapopulation
Modularity
resilience
Alytes dickhilleni
topic Ecological networks
Amphibian metapopulation
Modularity
resilience
Alytes dickhilleni
description Habitat transformation is one of the leading drivers of biodiversity loss. The ecological effects of this trans- formation have mainly been addressed at the demographic level, for example, finding extinction thresholds. However, interpopulation genetic variability and the subsequent potential for adaptation can be eroded before effects are noticed on species abundances. To what degree this is the case has been difficult to eval- uate, partly because of the lack of both spatially extended genetic data and an appropriate framework to map and analyse such data. Here, we extend recent work on the analysis of networks of spatial genetic var- iation to address the robustness of these networks in the face of perturbations. We illustrate the potential of this framework using the case study of an amphibian metapopulation. Our results show that while the disappearance of some spatial sites barely changes the modular structure of the genetic network, other sites have a much stronger effect. Interestingly, these consequences can not be anticipated using topological, sta- tic measures. Mapping these networks of spatial genetic variation will allow identifying significant evolution- ary units and how they vanish, merge and reorganise following perturbations.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013
2013
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/10261/77436
url http://hdl.handle.net/10261/77436
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1111/ele.12061
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
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
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repository.mail.fl_str_mv
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