Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions.

Limongi Pérez, Pablo - Ortega, Leonardo - Horta Cunarro, Sebastián - Burone, Leticia - Carranza Luaces, Alvar

Resumen:

Introduction: The Uruguayan Exclusive Economic Zone (U-EEZ) is still lacking a technically sound and institutionally agreed system for classifying marine benthic ecosystems. This fact, added to the growing anthropic pressure marine ecosystems face in the U-EEZ, increases the vulnerability of these ecosystems and their associated biodiversity. Despite this, there is valuable and abundant disaggregated environmental and biological information for benthic systems. Methods: In this work, we used ca. 4000 records of all major Phyla of benthic invertebrates to determine discrete benthic regions for the U-EEZ. We looked at the structuring forces of bathymetry, salinity, and water masses. First, we categorized the multivariate structure according to statistical significance to test a priori categories for univariate descriptors. Then, we mapped unique combinations of categories of structuring variables, which largely determine the structure and composition of benthic communities. Operationally, the variables to be analyzed were classified, and subsequently, group (cluster) and SIMPROF analyzes were performed. Results: The results suggest seven bathymetric categories, two of water masses and two of salinity, significantly structuring the benthic communities. The combination of these categories suggests nine discrete benthic marine regions for the U-EEZ, with heterogeneous structural characteristics. Our results provide an initial model of distinct benthic ecological complexes in U-EEZ. Discussion: However, caution should be exerted when using this model during decision-making. For example, implementing use restrictions of benthic areas should rely on further groundtruthing, including direct seafloor observations and collections. The latter is relevant since our system is based on the analysis of accumulated historical data that may or may not represent the current condition of habitats of interest.


Detalles Bibliográficos
2023
Marine spatial planning
Benthic ecology
Primary biodiversity data
Benthic ecosystems
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/43104
Acceso abierto
Licencia Creative Commons Atribución (CC - By 4.0)
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author Limongi Pérez, Pablo
author2 Ortega, Leonardo
Horta Cunarro, Sebastián
Burone, Leticia
Carranza Luaces, Alvar
author2_role author
author
author
author
author_facet Limongi Pérez, Pablo
Ortega, Leonardo
Horta Cunarro, Sebastián
Burone, Leticia
Carranza Luaces, Alvar
author_role author
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dc.contributor.filiacion.none.fl_str_mv Limongi Pérez Pablo, Universidad de la República (Uruguay). Facultad de Ciencias. CURE.
Ortega Leonardo, DINARA
Horta Cunarro Sebastián, Ministerio de Ambiente
Burone Leticia, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales.
Carranza Luaces Alvar, Universidad de la República (Uruguay). Facultad de Ciencias. CURE.
dc.coverage.spatial.es.fl_str_mv Southwestern Atlantic Ocean
dc.creator.none.fl_str_mv Limongi Pérez, Pablo
Ortega, Leonardo
Horta Cunarro, Sebastián
Burone, Leticia
Carranza Luaces, Alvar
dc.date.accessioned.none.fl_str_mv 2024-03-14T15:11:09Z
dc.date.available.none.fl_str_mv 2024-03-14T15:11:09Z
dc.date.issued.none.fl_str_mv 2023
dc.description.abstract.none.fl_txt_mv Introduction: The Uruguayan Exclusive Economic Zone (U-EEZ) is still lacking a technically sound and institutionally agreed system for classifying marine benthic ecosystems. This fact, added to the growing anthropic pressure marine ecosystems face in the U-EEZ, increases the vulnerability of these ecosystems and their associated biodiversity. Despite this, there is valuable and abundant disaggregated environmental and biological information for benthic systems. Methods: In this work, we used ca. 4000 records of all major Phyla of benthic invertebrates to determine discrete benthic regions for the U-EEZ. We looked at the structuring forces of bathymetry, salinity, and water masses. First, we categorized the multivariate structure according to statistical significance to test a priori categories for univariate descriptors. Then, we mapped unique combinations of categories of structuring variables, which largely determine the structure and composition of benthic communities. Operationally, the variables to be analyzed were classified, and subsequently, group (cluster) and SIMPROF analyzes were performed. Results: The results suggest seven bathymetric categories, two of water masses and two of salinity, significantly structuring the benthic communities. The combination of these categories suggests nine discrete benthic marine regions for the U-EEZ, with heterogeneous structural characteristics. Our results provide an initial model of distinct benthic ecological complexes in U-EEZ. Discussion: However, caution should be exerted when using this model during decision-making. For example, implementing use restrictions of benthic areas should rely on further groundtruthing, including direct seafloor observations and collections. The latter is relevant since our system is based on the analysis of accumulated historical data that may or may not represent the current condition of habitats of interest.
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dc.identifier.citation.es.fl_str_mv Limongi Pérez, P, Ortega, L, Horta Cunarro, S [y otros autores]. "Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions". Frontiers in Marine Science. [en línea] 2023, 10:1130827. 10 h. DOI: 10.3389/fmars.2023.1130827.
dc.identifier.doi.none.fl_str_mv 10.3389/fmars.2023.1130827
dc.identifier.issn.none.fl_str_mv 2296-7745
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/43104
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv Frontiers
dc.relation.ispartof.es.fl_str_mv Frontiers in Marine Science, 2023, 10:1130827.
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 Marine spatial planning
Benthic ecology
Primary biodiversity data
Benthic ecosystems
dc.title.none.fl_str_mv Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions.
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 Introduction: The Uruguayan Exclusive Economic Zone (U-EEZ) is still lacking a technically sound and institutionally agreed system for classifying marine benthic ecosystems. This fact, added to the growing anthropic pressure marine ecosystems face in the U-EEZ, increases the vulnerability of these ecosystems and their associated biodiversity. Despite this, there is valuable and abundant disaggregated environmental and biological information for benthic systems. Methods: In this work, we used ca. 4000 records of all major Phyla of benthic invertebrates to determine discrete benthic regions for the U-EEZ. We looked at the structuring forces of bathymetry, salinity, and water masses. First, we categorized the multivariate structure according to statistical significance to test a priori categories for univariate descriptors. Then, we mapped unique combinations of categories of structuring variables, which largely determine the structure and composition of benthic communities. Operationally, the variables to be analyzed were classified, and subsequently, group (cluster) and SIMPROF analyzes were performed. Results: The results suggest seven bathymetric categories, two of water masses and two of salinity, significantly structuring the benthic communities. The combination of these categories suggests nine discrete benthic marine regions for the U-EEZ, with heterogeneous structural characteristics. Our results provide an initial model of distinct benthic ecological complexes in U-EEZ. Discussion: However, caution should be exerted when using this model during decision-making. For example, implementing use restrictions of benthic areas should rely on further groundtruthing, including direct seafloor observations and collections. The latter is relevant since our system is based on the analysis of accumulated historical data that may or may not represent the current condition of habitats of interest.
eu_rights_str_mv openAccess
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identifier_str_mv Limongi Pérez, P, Ortega, L, Horta Cunarro, S [y otros autores]. "Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions". Frontiers in Marine Science. [en línea] 2023, 10:1130827. 10 h. DOI: 10.3389/fmars.2023.1130827.
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repository.name.fl_str_mv COLIBRI - Universidad de la República
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rights_invalid_str_mv Licencia Creative Commons Atribución (CC - By 4.0)
spelling Limongi Pérez Pablo, Universidad de la República (Uruguay). Facultad de Ciencias. CURE.Ortega Leonardo, DINARAHorta Cunarro Sebastián, Ministerio de AmbienteBurone Leticia, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales.Carranza Luaces Alvar, Universidad de la República (Uruguay). Facultad de Ciencias. CURE.Southwestern Atlantic Ocean2024-03-14T15:11:09Z2024-03-14T15:11:09Z2023Limongi Pérez, P, Ortega, L, Horta Cunarro, S [y otros autores]. "Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions". Frontiers in Marine Science. [en línea] 2023, 10:1130827. 10 h. DOI: 10.3389/fmars.2023.1130827.2296-7745https://hdl.handle.net/20.500.12008/4310410.3389/fmars.2023.1130827Introduction: The Uruguayan Exclusive Economic Zone (U-EEZ) is still lacking a technically sound and institutionally agreed system for classifying marine benthic ecosystems. This fact, added to the growing anthropic pressure marine ecosystems face in the U-EEZ, increases the vulnerability of these ecosystems and their associated biodiversity. Despite this, there is valuable and abundant disaggregated environmental and biological information for benthic systems. Methods: In this work, we used ca. 4000 records of all major Phyla of benthic invertebrates to determine discrete benthic regions for the U-EEZ. We looked at the structuring forces of bathymetry, salinity, and water masses. First, we categorized the multivariate structure according to statistical significance to test a priori categories for univariate descriptors. Then, we mapped unique combinations of categories of structuring variables, which largely determine the structure and composition of benthic communities. Operationally, the variables to be analyzed were classified, and subsequently, group (cluster) and SIMPROF analyzes were performed. Results: The results suggest seven bathymetric categories, two of water masses and two of salinity, significantly structuring the benthic communities. The combination of these categories suggests nine discrete benthic marine regions for the U-EEZ, with heterogeneous structural characteristics. Our results provide an initial model of distinct benthic ecological complexes in U-EEZ. Discussion: However, caution should be exerted when using this model during decision-making. For example, implementing use restrictions of benthic areas should rely on further groundtruthing, including direct seafloor observations and collections. The latter is relevant since our system is based on the analysis of accumulated historical data that may or may not represent the current condition of habitats of interest.Submitted by Pintos Natalia (nataliapintosmvd@gmail.com) on 2024-03-11T16:56:21Z No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.3389.fmars.2023.1130827.pdf: 2574832 bytes, checksum: 15cff92f7c92650b09118f5743ce084c (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2024-03-12T13:14:31Z (GMT) No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.3389.fmars.2023.1130827.pdf: 2574832 bytes, checksum: 15cff92f7c92650b09118f5743ce084c (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2024-03-14T15:11:09Z (GMT). No. of bitstreams: 2 license_rdf: 24251 bytes, checksum: 71ed42ef0a0b648670f707320be37b90 (MD5) 10.3389.fmars.2023.1130827.pdf: 2574832 bytes, checksum: 15cff92f7c92650b09118f5743ce084c (MD5) Previous issue date: 202310 h.application/pdfenengFrontiersFrontiers in Marine Science, 2023, 10:1130827.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. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By 4.0)Marine spatial planningBenthic ecologyPrimary biodiversity dataBenthic ecosystemsBioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions.Artículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaLimongi Pérez, PabloOrtega, LeonardoHorta Cunarro, SebastiánBurone, LeticiaCarranza Luaces, AlvarLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/43104/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-844http://localhost:8080/xmlui/bitstream/20.500.12008/43104/2/license_urla0ebbeafb9d2ec7cbb19d7137ebc392cMD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse
spellingShingle Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions.
Limongi Pérez, Pablo
Marine spatial planning
Benthic ecology
Primary biodiversity data
Benthic ecosystems
status_str publishedVersion
title Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions.
title_full Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions.
title_fullStr Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions.
title_full_unstemmed Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions.
title_short Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions.
title_sort Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions.
topic Marine spatial planning
Benthic ecology
Primary biodiversity data
Benthic ecosystems
url https://hdl.handle.net/20.500.12008/43104