Guiding marine protected area network design with comparative phylogeography and population genomics: An exemplary case from the Southern Ocean
Aim. Networks of connected marine protected areas (MPAn) are recognized as the key area‐based management tool to preserve biodiversity, moderate exploitation of marine resources and increase ecological resilience to climate change. Although population genetic studies could greatly benefit connectivi...
| Autores: | , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/125168 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/125168 |
| Access Level: | acceso abierto |
| Palabra clave: | 574.5 574.9 575.17 CCAMLR COI D1MPA ddRADseq-derived SNPs South Georgia and South Sandwich Islands South Orkney Islands Stepping stones Western Antarctic Peninsula Zoología Biología marina Genética 2401.19 Zoología Marina 2401.08 Genética Animal 2505.01 Biogeografía 2409.03 Genética de Poblaciones |
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Guiding marine protected area network design with comparative phylogeography and population genomics: An exemplary case from the Southern OceanLeiva, CarlosRiesgo, AnaCombosch, DavidArias, María BelénGiribet, GonzaloDowney, RachelKenny, Nathan JamesTaboada Moreno, Sergio574.5574.9575.17CCAMLRCOID1MPAddRADseq-derived SNPsSouth Georgia and South Sandwich IslandsSouth Orkney IslandsStepping stonesWestern Antarctic PeninsulaZoologíaBiología marinaGenética2401.19 Zoología Marina2401.08 Genética Animal2505.01 Biogeografía2409.03 Genética de PoblacionesAim. Networks of connected marine protected areas (MPAn) are recognized as the key area‐based management tool to preserve biodiversity, moderate exploitation of marine resources and increase ecological resilience to climate change. Although population genetic studies could greatly benefit connectivity assessments between MPAs, genetic data are rarely used in MPAn planning. Here, we aim to illustrate the use of a multispecies and multilocus approach to provide recommendations for MPAn design, highlighting the importance of the species selected and the analyses performed. Our study is focused on the Southern Ocean, an area of keen multinational interest given its scientific significance, economic importance and its unique, shared legal status. Location. South Georgia and South Sandwich Islands MPA (SGSSI MPA), the South Orkney Islands and the Western Antarctic Peninsula (WAP)—where an MPA was proposed in 2018 (Domain 1 MPA) but has not been approved by the Commission for the Conservation of the Antarctic Marine Living Resources (CCAMLR). Methods. Our datasets include 819 individuals from five different species with contrasting life‐history strategies: two nemerteans (Antarctonemertes valida and A. riesgoae), two annelids (Pterocirrus giribeti and Neanthes kerguelensis) and one sponge (Mycale [Oxymycale] acerata). To identify genetic connectivity patterns in our study area, spanning roughly 2500 km, we used the COI mitochondrial marker and genome‐wide ddRADseq‐derived SNPs. Results. A consistent lack of connectivity between SGSSI MPA and the WAP was found for all studied species. Additionally, our data indicated a stepping‐stone role for the South Orkney Islands between these two genetically differentiated regions. Main conclusions. Our results reveal how the application of comparative phylogeography and population genomics can guide policymakers in their decision‐making process during MPAn design. We detected priority areas for conservation in Antarctica, including the South Orkney Islands and the WAP, providing strong evidence for the implementation of the Domain 1 MPA.John Wiley & SonsUniversidad Complutense de Madrid20222022-07-1920222022-07-19journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/125168reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)InglésengMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available CTM2010-17415%2FANTMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available CTM2013-42667%2FANTMICIU Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 EVOLUCION DE LA REPRODUCCION SEXUAL ANIMAL: MAQUINARIA GENOMICA, MICROBIOMA Y PATRONES MACROEVOLUTIVOS EN ESPONJASopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1251682026-06-02T12:44:21Z |
| dc.title.none.fl_str_mv |
Guiding marine protected area network design with comparative phylogeography and population genomics: An exemplary case from the Southern Ocean |
| title |
Guiding marine protected area network design with comparative phylogeography and population genomics: An exemplary case from the Southern Ocean |
| spellingShingle |
Guiding marine protected area network design with comparative phylogeography and population genomics: An exemplary case from the Southern Ocean Leiva, Carlos 574.5 574.9 575.17 CCAMLR COI D1MPA ddRADseq-derived SNPs South Georgia and South Sandwich Islands South Orkney Islands Stepping stones Western Antarctic Peninsula Zoología Biología marina Genética 2401.19 Zoología Marina 2401.08 Genética Animal 2505.01 Biogeografía 2409.03 Genética de Poblaciones |
| title_short |
Guiding marine protected area network design with comparative phylogeography and population genomics: An exemplary case from the Southern Ocean |
| title_full |
Guiding marine protected area network design with comparative phylogeography and population genomics: An exemplary case from the Southern Ocean |
| title_fullStr |
Guiding marine protected area network design with comparative phylogeography and population genomics: An exemplary case from the Southern Ocean |
| title_full_unstemmed |
Guiding marine protected area network design with comparative phylogeography and population genomics: An exemplary case from the Southern Ocean |
| title_sort |
Guiding marine protected area network design with comparative phylogeography and population genomics: An exemplary case from the Southern Ocean |
| dc.creator.none.fl_str_mv |
Leiva, Carlos Riesgo, Ana Combosch, David Arias, María Belén Giribet, Gonzalo Downey, Rachel Kenny, Nathan James Taboada Moreno, Sergio |
| author |
Leiva, Carlos |
| author_facet |
Leiva, Carlos Riesgo, Ana Combosch, David Arias, María Belén Giribet, Gonzalo Downey, Rachel Kenny, Nathan James Taboada Moreno, Sergio |
| author_role |
author |
| author2 |
Riesgo, Ana Combosch, David Arias, María Belén Giribet, Gonzalo Downey, Rachel Kenny, Nathan James Taboada Moreno, Sergio |
| author2_role |
author author author author author author author |
| dc.contributor.none.fl_str_mv |
Universidad Complutense de Madrid |
| dc.subject.none.fl_str_mv |
574.5 574.9 575.17 CCAMLR COI D1MPA ddRADseq-derived SNPs South Georgia and South Sandwich Islands South Orkney Islands Stepping stones Western Antarctic Peninsula Zoología Biología marina Genética 2401.19 Zoología Marina 2401.08 Genética Animal 2505.01 Biogeografía 2409.03 Genética de Poblaciones |
| topic |
574.5 574.9 575.17 CCAMLR COI D1MPA ddRADseq-derived SNPs South Georgia and South Sandwich Islands South Orkney Islands Stepping stones Western Antarctic Peninsula Zoología Biología marina Genética 2401.19 Zoología Marina 2401.08 Genética Animal 2505.01 Biogeografía 2409.03 Genética de Poblaciones |
| description |
Aim. Networks of connected marine protected areas (MPAn) are recognized as the key area‐based management tool to preserve biodiversity, moderate exploitation of marine resources and increase ecological resilience to climate change. Although population genetic studies could greatly benefit connectivity assessments between MPAs, genetic data are rarely used in MPAn planning. Here, we aim to illustrate the use of a multispecies and multilocus approach to provide recommendations for MPAn design, highlighting the importance of the species selected and the analyses performed. Our study is focused on the Southern Ocean, an area of keen multinational interest given its scientific significance, economic importance and its unique, shared legal status. Location. South Georgia and South Sandwich Islands MPA (SGSSI MPA), the South Orkney Islands and the Western Antarctic Peninsula (WAP)—where an MPA was proposed in 2018 (Domain 1 MPA) but has not been approved by the Commission for the Conservation of the Antarctic Marine Living Resources (CCAMLR). Methods. Our datasets include 819 individuals from five different species with contrasting life‐history strategies: two nemerteans (Antarctonemertes valida and A. riesgoae), two annelids (Pterocirrus giribeti and Neanthes kerguelensis) and one sponge (Mycale [Oxymycale] acerata). To identify genetic connectivity patterns in our study area, spanning roughly 2500 km, we used the COI mitochondrial marker and genome‐wide ddRADseq‐derived SNPs. Results. A consistent lack of connectivity between SGSSI MPA and the WAP was found for all studied species. Additionally, our data indicated a stepping‐stone role for the South Orkney Islands between these two genetically differentiated regions. Main conclusions. Our results reveal how the application of comparative phylogeography and population genomics can guide policymakers in their decision‐making process during MPAn design. We detected priority areas for conservation in Antarctica, including the South Orkney Islands and the WAP, providing strong evidence for the implementation of the Domain 1 MPA. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022 2022-07-19 2022 2022-07-19 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/20.500.14352/125168 |
| url |
https://hdl.handle.net/20.500.14352/125168 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available CTM2010-17415%2FANT Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 Not available CTM2013-42667%2FANT MICIU Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 EVOLUCION DE LA REPRODUCCION SEXUAL ANIMAL: MAQUINARIA GENOMICA, MICROBIOMA Y PATRONES MACROEVOLUTIVOS EN ESPONJAS |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
John Wiley & Sons |
| publisher.none.fl_str_mv |
John Wiley & Sons |
| dc.source.none.fl_str_mv |
reponame:Docta Complutense instname:Universidad Complutense de Madrid (UCM) |
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Universidad Complutense de Madrid (UCM) |
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Docta Complutense |
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Docta Complutense |
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