Broad-scale benthic habitat classification of the South Atlantic

McQuaid, Kirsty A. - Carranza Luaces, Alvar - Defeo, Omar - Horta Cunarro, Sebastián - Marín, Yamandú - Passadore, Cecilia

Resumen:

Marine Spatial Planning (MSP) has become a priority for many states wanting to develop national blue economy plans and meet international obligations in response to the increasing cumulative impacts of human activities and climate change. In areas beyond national jurisdiction (ABNJ), MSP is proposed as part of a package of solutions for multi-sectoral management at the ocean basin scale. To facilitate planning, maps showing the spatial distribution of marine biological diversity are required. In areas lacking data, like the South Atlantic, environmental proxies can be used to predict these distributions. We undertook broad-scale benthic habitat classification of the South Atlantic, employing two top-down approaches spanning from national waters to ABNJ. The first was non-hierarchical and clustered groups of environmental variables prior to combination; the second was hierarchical and clustered Principal Components of environmental variables. Areas of agreement between the two approaches were identified and results compared with existing national and global classifications and published biodiversity patterns. We highlight several habitat classes we can be cautiously confident represent variation in biological diversity, such as topographic features, frontal systems and some abyssal basins. We also identify critical gaps in our knowledge of regional biogeography and advocate for collaborative effort to compile benthic species records and promote further exploration of the region to address these gaps. These insights into the distribution of habitats have the potential to support sustainable use and conservation of biodiversity beyond national jurisdiction, enable transboundary and ocean basin scale management, and empower nations to make progress towards achieving Sustainable Development Goals


Detalles Bibliográficos
2023
Seafloor mapping
Habitat mapping
Habitat
Classification systems
Spatial distribution
Bioregionalisation
Atlantic Ocean
South Atlantic Ocean
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/42750
Acceso abierto
Licencia Creative Commons Atribución (CC - By 4.0)
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author McQuaid, Kirsty A.
author2 Carranza Luaces, Alvar
Defeo, Omar
Horta Cunarro, Sebastián
Marín, Yamandú
Passadore, Cecilia
author2_role author
author
author
author
author
author_facet McQuaid, Kirsty A.
Carranza Luaces, Alvar
Defeo, Omar
Horta Cunarro, Sebastián
Marín, Yamandú
Passadore, Cecilia
author_role author
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dc.contributor.filiacion.none.fl_str_mv McQuaid Kirsty A.
Carranza Luaces Alvar, Universidad de la República (Uruguay). Facultad de Ciencias. CURE.
Defeo Omar, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología.
Horta Cunarro Sebastián, Ministerio de Ambiente
Marín Yamandú, Universidad de la República (Uruguay).
Passadore Cecilia, Vida Silvestre. Uruguay
dc.creator.none.fl_str_mv McQuaid, Kirsty A.
Carranza Luaces, Alvar
Defeo, Omar
Horta Cunarro, Sebastián
Marín, Yamandú
Passadore, Cecilia
dc.date.accessioned.none.fl_str_mv 2024-02-27T14:34:11Z
dc.date.available.none.fl_str_mv 2024-02-27T14:34:11Z
dc.date.issued.none.fl_str_mv 2023
dc.description.abstract.none.fl_txt_mv Marine Spatial Planning (MSP) has become a priority for many states wanting to develop national blue economy plans and meet international obligations in response to the increasing cumulative impacts of human activities and climate change. In areas beyond national jurisdiction (ABNJ), MSP is proposed as part of a package of solutions for multi-sectoral management at the ocean basin scale. To facilitate planning, maps showing the spatial distribution of marine biological diversity are required. In areas lacking data, like the South Atlantic, environmental proxies can be used to predict these distributions. We undertook broad-scale benthic habitat classification of the South Atlantic, employing two top-down approaches spanning from national waters to ABNJ. The first was non-hierarchical and clustered groups of environmental variables prior to combination; the second was hierarchical and clustered Principal Components of environmental variables. Areas of agreement between the two approaches were identified and results compared with existing national and global classifications and published biodiversity patterns. We highlight several habitat classes we can be cautiously confident represent variation in biological diversity, such as topographic features, frontal systems and some abyssal basins. We also identify critical gaps in our knowledge of regional biogeography and advocate for collaborative effort to compile benthic species records and promote further exploration of the region to address these gaps. These insights into the distribution of habitats have the potential to support sustainable use and conservation of biodiversity beyond national jurisdiction, enable transboundary and ocean basin scale management, and empower nations to make progress towards achieving Sustainable Development Goals
dc.description.es.fl_txt_mv Este artículo fue escrito por 30 autores.
dc.format.extent.es.fl_str_mv 20 h.
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dc.identifier.citation.es.fl_str_mv Carranza Luaces, A, Defeo, O, Horta Cunarro, S. [y otros autores]. "Broad-scale benthic habitat classification of the South Atlantic". Progress in Oceanography. [en línea] 2023, 214: 103016. 20 h. DOI: 10.1016/j.pocean.2023.103016.
dc.identifier.doi.none.fl_str_mv 10.1016/j.pocean.2023.103016
dc.identifier.issn.none.fl_str_mv 1873-4472
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/42750
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv Elsevier
dc.relation.ispartof.es.fl_str_mv Progress in Oceanography, 2023, 214: 103016.
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución (CC - By 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Seafloor mapping
Habitat mapping
Habitat
Classification systems
Spatial distribution
Bioregionalisation
Atlantic Ocean
South Atlantic Ocean
dc.title.none.fl_str_mv Broad-scale benthic habitat classification of the South Atlantic
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description Este artículo fue escrito por 30 autores.
eu_rights_str_mv openAccess
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identifier_str_mv Carranza Luaces, A, Defeo, O, Horta Cunarro, S. [y otros autores]. "Broad-scale benthic habitat classification of the South Atlantic". Progress in Oceanography. [en línea] 2023, 214: 103016. 20 h. DOI: 10.1016/j.pocean.2023.103016.
1873-4472
10.1016/j.pocean.2023.103016
instacron_str Universidad de la República
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instname_str Universidad de la República
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publishDate 2023
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución (CC - By 4.0)
spelling McQuaid Kirsty A.Carranza Luaces Alvar, Universidad de la República (Uruguay). Facultad de Ciencias. CURE.Defeo Omar, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Biología.Horta Cunarro Sebastián, Ministerio de AmbienteMarín Yamandú, Universidad de la República (Uruguay).Passadore Cecilia, Vida Silvestre. Uruguay2024-02-27T14:34:11Z2024-02-27T14:34:11Z2023Carranza Luaces, A, Defeo, O, Horta Cunarro, S. [y otros autores]. "Broad-scale benthic habitat classification of the South Atlantic". Progress in Oceanography. [en línea] 2023, 214: 103016. 20 h. DOI: 10.1016/j.pocean.2023.103016.1873-4472https://hdl.handle.net/20.500.12008/4275010.1016/j.pocean.2023.103016Este artículo fue escrito por 30 autores.Marine Spatial Planning (MSP) has become a priority for many states wanting to develop national blue economy plans and meet international obligations in response to the increasing cumulative impacts of human activities and climate change. In areas beyond national jurisdiction (ABNJ), MSP is proposed as part of a package of solutions for multi-sectoral management at the ocean basin scale. To facilitate planning, maps showing the spatial distribution of marine biological diversity are required. In areas lacking data, like the South Atlantic, environmental proxies can be used to predict these distributions. We undertook broad-scale benthic habitat classification of the South Atlantic, employing two top-down approaches spanning from national waters to ABNJ. The first was non-hierarchical and clustered groups of environmental variables prior to combination; the second was hierarchical and clustered Principal Components of environmental variables. Areas of agreement between the two approaches were identified and results compared with existing national and global classifications and published biodiversity patterns. We highlight several habitat classes we can be cautiously confident represent variation in biological diversity, such as topographic features, frontal systems and some abyssal basins. We also identify critical gaps in our knowledge of regional biogeography and advocate for collaborative effort to compile benthic species records and promote further exploration of the region to address these gaps. These insights into the distribution of habitats have the potential to support sustainable use and conservation of biodiversity beyond national jurisdiction, enable transboundary and ocean basin scale management, and empower nations to make progress towards achieving Sustainable Development GoalsSubmitted by Pintos Natalia (nataliapintosmvd@gmail.com) on 2024-02-26T14:31:54Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.1016.j.pocean.2023.103016.pdf: 13984172 bytes, checksum: c9f2e4cb5d292316113363485592de77 (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2024-02-27T13:10:51Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.1016.j.pocean.2023.103016.pdf: 13984172 bytes, checksum: c9f2e4cb5d292316113363485592de77 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2024-02-27T14:34:11Z (GMT). No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.1016.j.pocean.2023.103016.pdf: 13984172 bytes, checksum: c9f2e4cb5d292316113363485592de77 (MD5) Previous issue date: 202320 h.application/pdfenengElsevierProgress in Oceanography, 2023, 214: 103016.Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. 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- Universidad de la Repúblicafalse
spellingShingle Broad-scale benthic habitat classification of the South Atlantic
McQuaid, Kirsty A.
Seafloor mapping
Habitat mapping
Habitat
Classification systems
Spatial distribution
Bioregionalisation
Atlantic Ocean
South Atlantic Ocean
status_str publishedVersion
title Broad-scale benthic habitat classification of the South Atlantic
title_full Broad-scale benthic habitat classification of the South Atlantic
title_fullStr Broad-scale benthic habitat classification of the South Atlantic
title_full_unstemmed Broad-scale benthic habitat classification of the South Atlantic
title_short Broad-scale benthic habitat classification of the South Atlantic
title_sort Broad-scale benthic habitat classification of the South Atlantic
topic Seafloor mapping
Habitat mapping
Habitat
Classification systems
Spatial distribution
Bioregionalisation
Atlantic Ocean
South Atlantic Ocean
url https://hdl.handle.net/20.500.12008/42750