Brazilian marine biogeography: a multi-taxa approach for outlining sectorization
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s00227-022-04045-8 http://hdl.handle.net/11449/240828 |
Resumo: | Species distribution patterns in the Brazilian Marine Province (BMP) are extensively debated, nevertheless no study used a multi-taxa approach to investigate possible biotic distinctions and the role of environmental factors in determining biogeographical patterns in this province. Here, we compiled the largest distributional multi-taxa dataset in the southern Atlantic (2412 reef species) to address the following: (1) similarities among areas accounting for species composition and environmental characteristics; (2) the absolute species richness of nine taxonomic groups among geographical bins; and (3) how species biogeographical patterns are explained by the environmental similarities. We hypothesized sub-provinces’ limits will be strongly correlated to environmental delimitations, being sea surface temperature a central component influencing biotic subdivision on the BMP. We found eight different geographical bins considering the environmental factors, while five considering species distributions. We also observed a latitudinal gradient of species richness for most taxa, some presenting a “mid-domain” shape pattern. Beta diversity among sub-provinces was low, and the nestedness component more important, indicating high connectivity along the BMP. Using a db-RDA, we demonstrated that environmental variables explained 64% of species clustering patterns, with sea surface temperature, water turbidity and current velocity explaining the biotic clustering of the Brazilian northeastern coast. Sub-provinces North and Abrolhos Bank were the most distinct areas regarding environmental and biotic data. Our study highlights the importance of using a multi-taxa approach to understand the relationship between biogeographical patterns, as well as its response to environmental and historical factors. |
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Brazilian marine biogeography: a multi-taxa approach for outlining sectorizationEcological filtersLatitudinal gradientsMarine biogeographyReef environmentsSpecies distributionsSpecies distribution patterns in the Brazilian Marine Province (BMP) are extensively debated, nevertheless no study used a multi-taxa approach to investigate possible biotic distinctions and the role of environmental factors in determining biogeographical patterns in this province. Here, we compiled the largest distributional multi-taxa dataset in the southern Atlantic (2412 reef species) to address the following: (1) similarities among areas accounting for species composition and environmental characteristics; (2) the absolute species richness of nine taxonomic groups among geographical bins; and (3) how species biogeographical patterns are explained by the environmental similarities. We hypothesized sub-provinces’ limits will be strongly correlated to environmental delimitations, being sea surface temperature a central component influencing biotic subdivision on the BMP. We found eight different geographical bins considering the environmental factors, while five considering species distributions. We also observed a latitudinal gradient of species richness for most taxa, some presenting a “mid-domain” shape pattern. Beta diversity among sub-provinces was low, and the nestedness component more important, indicating high connectivity along the BMP. Using a db-RDA, we demonstrated that environmental variables explained 64% of species clustering patterns, with sea surface temperature, water turbidity and current velocity explaining the biotic clustering of the Brazilian northeastern coast. Sub-provinces North and Abrolhos Bank were the most distinct areas regarding environmental and biotic data. Our study highlights the importance of using a multi-taxa approach to understand the relationship between biogeographical patterns, as well as its response to environmental and historical factors.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Laboratório de Biogeografia e Macroecologia Marinha Departamento de Ecologia e Zoologia Universidade Federal de Santa Catarina, Santa CatarinaLaboratório de Invertebrados Marinhos do Ceará Departamento de Biologia Universidade Federal Do Ceará, CearáLaboratório de Crustáceos e Plâncton Departamento de Ecologia e Zoologia Universidade Federal de Santa Catarina, Santa CatarinaLaboratório de Pesquisa em Elasmobrânquios Instituto de Biociências Universidade Estadual Paulista “Júlio de Mesquita Filho”, São VicenteLaboratório de Ecologia e Conservação de Ecossistemas Marinhos Universidade Federal Rural de Pernambuco, PernambucoLaboratório de Ficologia Departamento de Botânica Universidade Federal de Santa Catarina, Santa CatarinaLaboratório de Biodiversidade Marinha Departamento de Ecologia e Zoologia Universidade Federal de Santa Catarina, Santa CatarinaLaboratório de Bioecologia e Sistemática de Crustáceos (LBSC) Departamento de Biologia Faculdade de Filosofia Ciências e Letras de Ribeirão Preto (FFCLRP) Universidade de São Paulo (USP), São PauloLaboratório de Pesquisa em Elasmobrânquios Instituto de Biociências Universidade Estadual Paulista “Júlio de Mesquita Filho”, São VicenteCAPES: 001CNPq: 307340/2019-8Universidade Federal de Santa Catarina (UFSC)Universidade Federal Do CearáUniversidade Estadual Paulista (UNESP)Universidade Federal Rural de PernambucoUniversidade de São Paulo (USP)Cord, IsadoraNunes, Lucas T.Barroso, Cristiane X.Freire, Andrea S.Gadig, Otto B. F. [UNESP]Gomes, Paula B.Gurgel, Carlos F. D.Lindner, AlbertoMantelatto, Fernando L.Targino, Alessandra K. G.Floeter, Sergio R.2023-03-01T20:34:29Z2023-03-01T20:34:29Z2022-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s00227-022-04045-8Marine Biology, v. 169, n. 5, 2022.1432-17930025-3162http://hdl.handle.net/11449/24082810.1007/s00227-022-04045-82-s2.0-85128101300Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMarine Biologyinfo:eu-repo/semantics/openAccess2023-03-01T20:34:29Zoai:repositorio.unesp.br:11449/240828Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:35:39.794882Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Brazilian marine biogeography: a multi-taxa approach for outlining sectorization |
title |
Brazilian marine biogeography: a multi-taxa approach for outlining sectorization |
spellingShingle |
Brazilian marine biogeography: a multi-taxa approach for outlining sectorization Cord, Isadora Ecological filters Latitudinal gradients Marine biogeography Reef environments Species distributions |
title_short |
Brazilian marine biogeography: a multi-taxa approach for outlining sectorization |
title_full |
Brazilian marine biogeography: a multi-taxa approach for outlining sectorization |
title_fullStr |
Brazilian marine biogeography: a multi-taxa approach for outlining sectorization |
title_full_unstemmed |
Brazilian marine biogeography: a multi-taxa approach for outlining sectorization |
title_sort |
Brazilian marine biogeography: a multi-taxa approach for outlining sectorization |
author |
Cord, Isadora |
author_facet |
Cord, Isadora Nunes, Lucas T. Barroso, Cristiane X. Freire, Andrea S. Gadig, Otto B. F. [UNESP] Gomes, Paula B. Gurgel, Carlos F. D. Lindner, Alberto Mantelatto, Fernando L. Targino, Alessandra K. G. Floeter, Sergio R. |
author_role |
author |
author2 |
Nunes, Lucas T. Barroso, Cristiane X. Freire, Andrea S. Gadig, Otto B. F. [UNESP] Gomes, Paula B. Gurgel, Carlos F. D. Lindner, Alberto Mantelatto, Fernando L. Targino, Alessandra K. G. Floeter, Sergio R. |
author2_role |
author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Santa Catarina (UFSC) Universidade Federal Do Ceará Universidade Estadual Paulista (UNESP) Universidade Federal Rural de Pernambuco Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Cord, Isadora Nunes, Lucas T. Barroso, Cristiane X. Freire, Andrea S. Gadig, Otto B. F. [UNESP] Gomes, Paula B. Gurgel, Carlos F. D. Lindner, Alberto Mantelatto, Fernando L. Targino, Alessandra K. G. Floeter, Sergio R. |
dc.subject.por.fl_str_mv |
Ecological filters Latitudinal gradients Marine biogeography Reef environments Species distributions |
topic |
Ecological filters Latitudinal gradients Marine biogeography Reef environments Species distributions |
description |
Species distribution patterns in the Brazilian Marine Province (BMP) are extensively debated, nevertheless no study used a multi-taxa approach to investigate possible biotic distinctions and the role of environmental factors in determining biogeographical patterns in this province. Here, we compiled the largest distributional multi-taxa dataset in the southern Atlantic (2412 reef species) to address the following: (1) similarities among areas accounting for species composition and environmental characteristics; (2) the absolute species richness of nine taxonomic groups among geographical bins; and (3) how species biogeographical patterns are explained by the environmental similarities. We hypothesized sub-provinces’ limits will be strongly correlated to environmental delimitations, being sea surface temperature a central component influencing biotic subdivision on the BMP. We found eight different geographical bins considering the environmental factors, while five considering species distributions. We also observed a latitudinal gradient of species richness for most taxa, some presenting a “mid-domain” shape pattern. Beta diversity among sub-provinces was low, and the nestedness component more important, indicating high connectivity along the BMP. Using a db-RDA, we demonstrated that environmental variables explained 64% of species clustering patterns, with sea surface temperature, water turbidity and current velocity explaining the biotic clustering of the Brazilian northeastern coast. Sub-provinces North and Abrolhos Bank were the most distinct areas regarding environmental and biotic data. Our study highlights the importance of using a multi-taxa approach to understand the relationship between biogeographical patterns, as well as its response to environmental and historical factors. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-01 2023-03-01T20:34:29Z 2023-03-01T20:34:29Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s00227-022-04045-8 Marine Biology, v. 169, n. 5, 2022. 1432-1793 0025-3162 http://hdl.handle.net/11449/240828 10.1007/s00227-022-04045-8 2-s2.0-85128101300 |
url |
http://dx.doi.org/10.1007/s00227-022-04045-8 http://hdl.handle.net/11449/240828 |
identifier_str_mv |
Marine Biology, v. 169, n. 5, 2022. 1432-1793 0025-3162 10.1007/s00227-022-04045-8 2-s2.0-85128101300 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Marine Biology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128252248588288 |