Functional connectivity network between terrestrial and aquatic habitats by a generalist waterbird, and implications for biovectoring

Birds are vectors of dispersal of propagules of plants and other organisms including pathogens, as well as nutrients and contaminants. Thus, through their movements they create functional connectivity between habitat patches. Most studies on connectivity provided by animals to date have focused on m...

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Autores: Martín-Vélez, Víctor, Mohring, B., Leeuwen, Casper, H. A. van, Shamoun-Baranes, Judy, Thaxter, Chris B., Baert, J.M., Camphuysen, Cornelis Jan, Green, Andy J.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/220794
Acesso em linha:http://hdl.handle.net/10261/220794
Access Level:acceso abierto
Palavra-chave:GPS tracking
Larus fuscus
Landfills
Movement ecology
Network analysis
Wetlands
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network_name_str España
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dc.title.none.fl_str_mv Functional connectivity network between terrestrial and aquatic habitats by a generalist waterbird, and implications for biovectoring
title Functional connectivity network between terrestrial and aquatic habitats by a generalist waterbird, and implications for biovectoring
spellingShingle Functional connectivity network between terrestrial and aquatic habitats by a generalist waterbird, and implications for biovectoring
Martín-Vélez, Víctor
GPS tracking
Larus fuscus
Landfills
Movement ecology
Network analysis
Wetlands
title_short Functional connectivity network between terrestrial and aquatic habitats by a generalist waterbird, and implications for biovectoring
title_full Functional connectivity network between terrestrial and aquatic habitats by a generalist waterbird, and implications for biovectoring
title_fullStr Functional connectivity network between terrestrial and aquatic habitats by a generalist waterbird, and implications for biovectoring
title_full_unstemmed Functional connectivity network between terrestrial and aquatic habitats by a generalist waterbird, and implications for biovectoring
title_sort Functional connectivity network between terrestrial and aquatic habitats by a generalist waterbird, and implications for biovectoring
dc.creator.none.fl_str_mv Martín-Vélez, Víctor
Mohring, B.
Leeuwen, Casper, H. A. van
Shamoun-Baranes, Judy
Thaxter, Chris B.
Baert, J.M.
Camphuysen, Cornelis Jan
Green, Andy J.
author Martín-Vélez, Víctor
author_facet Martín-Vélez, Víctor
Mohring, B.
Leeuwen, Casper, H. A. van
Shamoun-Baranes, Judy
Thaxter, Chris B.
Baert, J.M.
Camphuysen, Cornelis Jan
Green, Andy J.
author_role author
author2 Mohring, B.
Leeuwen, Casper, H. A. van
Shamoun-Baranes, Judy
Thaxter, Chris B.
Baert, J.M.
Camphuysen, Cornelis Jan
Green, Andy J.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Research Foundation - Flanders
University of Amsterdam
Agencia Estatal de Investigación (España)
European Commission
Department for Business, Energy and Industrial Strategy (UK)
Scottish Funding Council
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv GPS tracking
Larus fuscus
Landfills
Movement ecology
Network analysis
Wetlands
topic GPS tracking
Larus fuscus
Landfills
Movement ecology
Network analysis
Wetlands
description Birds are vectors of dispersal of propagules of plants and other organisms including pathogens, as well as nutrients and contaminants. Thus, through their movements they create functional connectivity between habitat patches. Most studies on connectivity provided by animals to date have focused on movements within similar habitat types. However, some waterbirds regularly switch between terrestrial, coastal and freshwater habitats throughout their daily routines. Lesser black-backed gulls that overwinter in Andalusia use different habitat types for roosting and foraging. In order to reveal their potential role in biovectoring among habitats, we created an inter-habitat connectivity network based on GPS tracking data. We applied connectivity measures by considering frequently visited sites as nodes, and flights as links, to determine the strength of connections in the network between habitats, and identify functional units where connections are more likely to happen. We acquired data for 42 tagged individuals (from five breeding colonies), and identified 5676 direct flights that connected 37 nodes. These 37 sites were classified into seven habitat types: reservoirs, natural lakes, ports, coastal marshes, fish ponds, rubbish dumps and ricefields. The Doñana ricefields acted as the central node in the network based on centrality measures. Furthermore, during the first half of winter when rice was harvested, ricefields were the most important habitat type in terms of total time spent. Overall, 90% of all direct flights between nodes were between rubbish dumps (for foraging) and roosts in other habitats, thereby connecting terrestrial and various wetland habitats. The strength of connections decreased between nodes as the distance between them increased, and was concentrated within ten independent spatial and functional units, especially between December and February. The pivotal role for ricefields and rubbish dumps in the network, and their high connectivity with aquatic habitats in general, have important implications for biovectoring into their surroundings.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
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/10261/220794
url http://hdl.handle.net/10261/220794
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2016-76067-P
https://doi.org/10.1016/j.scitotenv.2019.135886
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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spelling Functional connectivity network between terrestrial and aquatic habitats by a generalist waterbird, and implications for biovectoringMartín-Vélez, VíctorMohring, B.Leeuwen, Casper, H. A. vanShamoun-Baranes, JudyThaxter, Chris B.Baert, J.M.Camphuysen, Cornelis JanGreen, Andy J.GPS trackingLarus fuscusLandfillsMovement ecologyNetwork analysisWetlandsBirds are vectors of dispersal of propagules of plants and other organisms including pathogens, as well as nutrients and contaminants. Thus, through their movements they create functional connectivity between habitat patches. Most studies on connectivity provided by animals to date have focused on movements within similar habitat types. However, some waterbirds regularly switch between terrestrial, coastal and freshwater habitats throughout their daily routines. Lesser black-backed gulls that overwinter in Andalusia use different habitat types for roosting and foraging. In order to reveal their potential role in biovectoring among habitats, we created an inter-habitat connectivity network based on GPS tracking data. We applied connectivity measures by considering frequently visited sites as nodes, and flights as links, to determine the strength of connections in the network between habitats, and identify functional units where connections are more likely to happen. We acquired data for 42 tagged individuals (from five breeding colonies), and identified 5676 direct flights that connected 37 nodes. These 37 sites were classified into seven habitat types: reservoirs, natural lakes, ports, coastal marshes, fish ponds, rubbish dumps and ricefields. The Doñana ricefields acted as the central node in the network based on centrality measures. Furthermore, during the first half of winter when rice was harvested, ricefields were the most important habitat type in terms of total time spent. Overall, 90% of all direct flights between nodes were between rubbish dumps (for foraging) and roosts in other habitats, thereby connecting terrestrial and various wetland habitats. The strength of connections decreased between nodes as the distance between them increased, and was concentrated within ten independent spatial and functional units, especially between December and February. The pivotal role for ricefields and rubbish dumps in the network, and their high connectivity with aquatic habitats in general, have important implications for biovectoring into their surroundings.the “Programa de Emergencias, Control Epidemiológico y Seguimiento de Fauna Silvestre de Andalucía, Consejería de Medio Ambiente y Ordenación del Territorio” of Junta de Andalucía, Spain and “Programa de Seguimiento de Estación Biológica de Doñana-CSIC”. We thank M.I. Sánchez and W. Bouten for their comments and suggestions on previous drafts. Part of this work was supported by data and infrastructure provided by INBO and VLIZ as part of the Flemish contribution to the LifeWatch observatory funded by FWO. The UvA-BiTS tracking studies are facilitated by infrastructures for e-Science, developed with support of the NLeSC (http://www.esciencecenter.com/) and LifeWatch, carried out on the Dutch national e-infrastructure with support from the SURF Foundation. The data are held jointly by the BTO, University of Amsterdam, NIOZ, INBO and the funders of the project, and can be made available through their agreement. This work complied with Dutch law regarding ethical matters (#DEC-KNAW CL07.03). Birds in the UK were tagged under licence, with approval by the independent Special Methods Technical Panel of the UK Ringing Scheme. This research was also supported by Spanish National Plan project CGL2016-76067-P (AEI/FEDER, EU). For UK sites, this work was funded by the Department for Business, Energy and Industrial Strategy (BEIS), through the Offshore Energy Strategic Environmental Assessment research programme, with further funding from Ørsted, and supported by the Marine Renewable Energy and the Environment (MaREE) project (funded by Highlands and Islands Enterprise, the European Regional Development Fund, and the Scottish Funding Council). Special thanks also to John Hartley (Hartley Anderson), Viola Ross-Smith (BTO), Elizabeth Masden (Environmental Research Institute) and Gareth Johnson (Ørsted) and further thanks to the National Trust, Cumbria Wildlife Trust, The Wildlife Trust of South and West Wales, Natural Resources Wales, RSPB and Natural England for permissions and fieldwork at UK colonies.Peer reviewedElsevierResearch Foundation - FlandersUniversity of AmsterdamAgencia Estatal de Investigación (España)European CommissionDepartment for Business, Energy and Industrial Strategy (UK)Scottish Funding CouncilConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202020202020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/220794reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2016-76067-Phttps://doi.org/10.1016/j.scitotenv.2019.135886Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2207942026-05-22T06:33:51Z
score 15.812429

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