Brazilian marine biogeography: a multi-taxa approach for outlining sectorization

Cord Isadora; Nunes Lucas T.; Barroso Cristiane X.Freire Andrea S.Gadig Otto B. F.Gomes Paula B.Gurgel Carlos F. D.Lindner AlbertoMantelatto Fernando L.Targino Alessandra K. G.Floeter Sergio R.

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Brazilian marine biogeography: a multi-taxa approach for outlining sectorization

机译：Brazilian marine biogeography: a multi-taxa approach for outlining sectorization

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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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《Marine Biology: International Journal on Life in Oceans and Coastal Waters》 |2022年第5期|61.1-61.13|共13页
作者
Cord Isadora; Nunes Lucas T.; Barroso Cristiane X.Freire Andrea S.Gadig Otto B. F.Gomes Paula B.Gurgel Carlos F. D.Lindner AlbertoMantelatto Fernando L.Targino Alessandra K. G.Floeter Sergio R.;
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作者单位

Univ Fed Santa Catarina, Dept Ecol & Zool, Lab Biogeog & Macroecol Marinha, Florianopolis, SC, Brazil;

Univ Fed Ceara, Dept Biol, Lab Invertebrados Marinhos Ceara, Fortaleza, Ceara, Brazil;

Univ Fed Santa Catarina, Dept Ecol & Zool, Lab Crustaceos & Plancton, Florianopolis, SC, BrazilUniv Estadual Paulista, Inst Biociencias, Lab Pesquisa Elasmobranquios, Sao Paulo, BrazilUniv Fed Rural Pernambuco, Lab Ecol & Conservacao Ecossistemas Marinhos, Recife, PE, BrazilUniv Fed Santa Catarina, Dept Bot, Lab Ficol, Florianopolis, SC, BrazilUniv Fed Santa Catarina, Dept Ecol & Zool, Lab Biodiversidade Marinha, Florianopolis, SC, BrazilUniv Sao Paulo, Fac Filosofia Ciencias & Letras Ribeirao Preto FF, Dept Biol, Lab Bioecol & Sistemat Crustaceos LBSC, Ribeirao Preto, SP, Brazil;

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正文语种英语
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Ecological filters; Marine biogeography; Reef environments; Species distributions; Latitudinal gradients;

Brazilian marine biogeography: a multi-taxa approach for outlining sectorization

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