Bioregionalization in a data-poor situation: mapping of Uruguayan marine benthic regions.
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.
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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collection | COLIBRI |
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. |
dc.format.extent.es.fl_str_mv | 10 h. |
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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 |
format | article |
id | COLIBRI_c5e27865892c1f8e4846cdee9b52d37f |
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. 2296-7745 10.3389/fmars.2023.1130827 |
instacron_str | Universidad de la República |
institution | Universidad de la República |
instname_str | Universidad de la República |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | COLIBRI |
network_name_str | COLIBRI |
oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/43104 |
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 | 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 |