Integrating dispersal, breeding and abundance data with graph theory for the characterization and management of functional connectivity in amphibian pondscapes

[Context] Robust assessment of functional connectivity in amphibian population networks is essential to address their global decline. The potential of graph theory to characterize connectivity among amphibian populations has already been confirmed, but the movement data on which modelled graphs rely...

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Detalles Bibliográficos
Autores: Reyes-Moya, Ismael, Sánchez-Montes, Gregorio, Martínez-Solano, Íñigo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/283654
Acceso en línea:http://hdl.handle.net/10261/283654
Access Level:acceso abierto
Palabra clave:Graph theory
Pond-breeding amphibians
Connectivity
Dispersal
Photoidentification
Mark–recapture
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spelling Integrating dispersal, breeding and abundance data with graph theory for the characterization and management of functional connectivity in amphibian pondscapesReyes-Moya, IsmaelSánchez-Montes, GregorioMartínez-Solano, ÍñigoGraph theoryPond-breeding amphibiansConnectivityDispersalPhotoidentificationMark–recapture[Context] Robust assessment of functional connectivity in amphibian population networks is essential to address their global decline. The potential of graph theory to characterize connectivity among amphibian populations has already been confirmed, but the movement data on which modelled graphs rely are often scarce and inaccurate. While probabilistic methods that account for intraspecific variability in dispersal better reflect the biological reality of functional connectivity, they must be informed by systematically recorded individual movement data, which are difficult to obtain for secretive taxa like amphibians.[Objectives] Our aim is to assess the applied potential of probabilistic graph theory to characterize overall connectivity across amphibian pondscapes using finescale capture-recapture data, and to inform conservation management based on the role of ponds on functional connectivity.[Methods] We monitored an amphibian community in a pondscape located in a Spanish “dehesa” for 2 years. Photoidentification was used to build capture histories for individuals of six species, from which dispersal kernels and population sizes were estimated to model probabilistic graphs.[Results] We obtained kernels of variable robustness for six species. Node importance for connectivity varied between species, but with common patterns such as shared road crossing areas and the presence of coincident interconnected pond clusters.[Conclusions] The combination of photoidentification, capture-recapture data and graph theory allowed us to characterize functional connectivity across the pondscape of study accounting for dispersal variability and identify areas where conservation actions could be most efficient. Our results highlight the need to account for interspecific differences in the study and management of amphibian pondscapes.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This study was funded by FEDER/Ministerio de Ciencia, Innovación y Universidades– Agencia Estatal de Investigación, Spain, Grants CGL2017-83131-P and PID2020-116289GB-I00. Ismael Reyes-Moya was supported by a Formación de Personal Universitario (FPU) grant from the Spanish Ministry of Culture and Education.Peer reviewedSpringer NatureConsejo Superior de Investigaciones Científicas (España)Ministerio de Ciencia, Innovación y Universidades (España)Ministerio de Educación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202220222022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/283654reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MICINN//CGL2017-83131-Pinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116289GB-I00Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2836542026-05-22T06:33:51Z
dc.title.none.fl_str_mv Integrating dispersal, breeding and abundance data with graph theory for the characterization and management of functional connectivity in amphibian pondscapes
title Integrating dispersal, breeding and abundance data with graph theory for the characterization and management of functional connectivity in amphibian pondscapes
spellingShingle Integrating dispersal, breeding and abundance data with graph theory for the characterization and management of functional connectivity in amphibian pondscapes
Reyes-Moya, Ismael
Graph theory
Pond-breeding amphibians
Connectivity
Dispersal
Photoidentification
Mark–recapture
title_short Integrating dispersal, breeding and abundance data with graph theory for the characterization and management of functional connectivity in amphibian pondscapes
title_full Integrating dispersal, breeding and abundance data with graph theory for the characterization and management of functional connectivity in amphibian pondscapes
title_fullStr Integrating dispersal, breeding and abundance data with graph theory for the characterization and management of functional connectivity in amphibian pondscapes
title_full_unstemmed Integrating dispersal, breeding and abundance data with graph theory for the characterization and management of functional connectivity in amphibian pondscapes
title_sort Integrating dispersal, breeding and abundance data with graph theory for the characterization and management of functional connectivity in amphibian pondscapes
dc.creator.none.fl_str_mv Reyes-Moya, Ismael
Sánchez-Montes, Gregorio
Martínez-Solano, Íñigo
author Reyes-Moya, Ismael
author_facet Reyes-Moya, Ismael
Sánchez-Montes, Gregorio
Martínez-Solano, Íñigo
author_role author
author2 Sánchez-Montes, Gregorio
Martínez-Solano, Íñigo
author2_role author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Ministerio de Educación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Graph theory
Pond-breeding amphibians
Connectivity
Dispersal
Photoidentification
Mark–recapture
topic Graph theory
Pond-breeding amphibians
Connectivity
Dispersal
Photoidentification
Mark–recapture
description [Context] Robust assessment of functional connectivity in amphibian population networks is essential to address their global decline. The potential of graph theory to characterize connectivity among amphibian populations has already been confirmed, but the movement data on which modelled graphs rely are often scarce and inaccurate. While probabilistic methods that account for intraspecific variability in dispersal better reflect the biological reality of functional connectivity, they must be informed by systematically recorded individual movement data, which are difficult to obtain for secretive taxa like amphibians.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/283654
url http://hdl.handle.net/10261/283654
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MICINN//CGL2017-83131-P
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116289GB-I00
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
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
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