The influence of riverine barriers, climate, and topography on the biogeographic regionalization of Amazonian anurans

Detalhes bibliográficos
Autor(a) principal: Godinho, Marcela Brasil De Castro [UNESP]
Data de Publicação: 2018
Outros Autores: Da Silva, Fernando Rodrigues
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1038/s41598-018-21879-9
http://hdl.handle.net/11449/175920
Resumo: We evaluated five non-mutually exclusive hypotheses driving the biogeographic regions of anuran species in the Amazonia. We overlaid extent-of-occurrence maps for anurans 50 × 50 km cells to generate a presence-Absence matrix. This matrix was subjected to a cluster analysis to identify the pattern and number of biogeographic regions for the dataset. Then, we used multinomial logistic regression models and deviance partitioning to explore the relative importance of contemporary and historical climate variables, topographic complexity, riverine barriers and vegetation structure in explaining the biogeographic regions identified. We found seven biogeographic regions for anurans in the Amazonia. The major rivers in the Amazonia made the largest contribution to explaining the variability in anuran biogeographic regions, followed by climate variables and topography. The barrier effect seems to be strong for some rivers, such as the Amazon and Madeira, but other Amazonia rivers appear to not be effective barriers. Furthermore, climate and topographical variables provide an environmental gradient driving the species richness and anuran range-size distributions. Therefore, our results provide a spatially explicit framework that could be used to address conservation and management issues of anuran diversity for the largest tropical forests in the world.
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spelling The influence of riverine barriers, climate, and topography on the biogeographic regionalization of Amazonian anuransWe evaluated five non-mutually exclusive hypotheses driving the biogeographic regions of anuran species in the Amazonia. We overlaid extent-of-occurrence maps for anurans 50 × 50 km cells to generate a presence-Absence matrix. This matrix was subjected to a cluster analysis to identify the pattern and number of biogeographic regions for the dataset. Then, we used multinomial logistic regression models and deviance partitioning to explore the relative importance of contemporary and historical climate variables, topographic complexity, riverine barriers and vegetation structure in explaining the biogeographic regions identified. We found seven biogeographic regions for anurans in the Amazonia. The major rivers in the Amazonia made the largest contribution to explaining the variability in anuran biogeographic regions, followed by climate variables and topography. The barrier effect seems to be strong for some rivers, such as the Amazon and Madeira, but other Amazonia rivers appear to not be effective barriers. Furthermore, climate and topographical variables provide an environmental gradient driving the species richness and anuran range-size distributions. Therefore, our results provide a spatially explicit framework that could be used to address conservation and management issues of anuran diversity for the largest tropical forests in the world.Programa de Pós-Graduação em Biologia Animal Universidade Estadual Paulista Júlio de Mesquita Filho - UNESP, campus de São José do Rio PretoLaboratório de Ecologia Teórica: Integrando Tempo Biologia e Espaço (LET.IT.BE) Departamento de Ciências Ambientais Universidade Federal de São CarlosPrograma de Pós-Graduação em Biologia Animal Universidade Estadual Paulista Júlio de Mesquita Filho - UNESP, campus de São José do Rio PretoUniversidade Estadual Paulista (Unesp)Universidade Federal de São Carlos (UFSCar)Godinho, Marcela Brasil De Castro [UNESP]Da Silva, Fernando Rodrigues2018-12-11T17:18:10Z2018-12-11T17:18:10Z2018-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1038/s41598-018-21879-9Scientific Reports, v. 8, n. 1, 2018.2045-2322http://hdl.handle.net/11449/17592010.1038/s41598-018-21879-92-s2.0-850423616262-s2.0-85042361626.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengScientific Reports1,533info:eu-repo/semantics/openAccess2023-11-25T06:14:40Zoai:repositorio.unesp.br:11449/175920Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:40:27.887406Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv The influence of riverine barriers, climate, and topography on the biogeographic regionalization of Amazonian anurans
title The influence of riverine barriers, climate, and topography on the biogeographic regionalization of Amazonian anurans
spellingShingle The influence of riverine barriers, climate, and topography on the biogeographic regionalization of Amazonian anurans
Godinho, Marcela Brasil De Castro [UNESP]
title_short The influence of riverine barriers, climate, and topography on the biogeographic regionalization of Amazonian anurans
title_full The influence of riverine barriers, climate, and topography on the biogeographic regionalization of Amazonian anurans
title_fullStr The influence of riverine barriers, climate, and topography on the biogeographic regionalization of Amazonian anurans
title_full_unstemmed The influence of riverine barriers, climate, and topography on the biogeographic regionalization of Amazonian anurans
title_sort The influence of riverine barriers, climate, and topography on the biogeographic regionalization of Amazonian anurans
author Godinho, Marcela Brasil De Castro [UNESP]
author_facet Godinho, Marcela Brasil De Castro [UNESP]
Da Silva, Fernando Rodrigues
author_role author
author2 Da Silva, Fernando Rodrigues
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de São Carlos (UFSCar)
dc.contributor.author.fl_str_mv Godinho, Marcela Brasil De Castro [UNESP]
Da Silva, Fernando Rodrigues
description We evaluated five non-mutually exclusive hypotheses driving the biogeographic regions of anuran species in the Amazonia. We overlaid extent-of-occurrence maps for anurans 50 × 50 km cells to generate a presence-Absence matrix. This matrix was subjected to a cluster analysis to identify the pattern and number of biogeographic regions for the dataset. Then, we used multinomial logistic regression models and deviance partitioning to explore the relative importance of contemporary and historical climate variables, topographic complexity, riverine barriers and vegetation structure in explaining the biogeographic regions identified. We found seven biogeographic regions for anurans in the Amazonia. The major rivers in the Amazonia made the largest contribution to explaining the variability in anuran biogeographic regions, followed by climate variables and topography. The barrier effect seems to be strong for some rivers, such as the Amazon and Madeira, but other Amazonia rivers appear to not be effective barriers. Furthermore, climate and topographical variables provide an environmental gradient driving the species richness and anuran range-size distributions. Therefore, our results provide a spatially explicit framework that could be used to address conservation and management issues of anuran diversity for the largest tropical forests in the world.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-11T17:18:10Z
2018-12-11T17:18:10Z
2018-12-01
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/10.1038/s41598-018-21879-9
Scientific Reports, v. 8, n. 1, 2018.
2045-2322
http://hdl.handle.net/11449/175920
10.1038/s41598-018-21879-9
2-s2.0-85042361626
2-s2.0-85042361626.pdf
url http://dx.doi.org/10.1038/s41598-018-21879-9
http://hdl.handle.net/11449/175920
identifier_str_mv Scientific Reports, v. 8, n. 1, 2018.
2045-2322
10.1038/s41598-018-21879-9
2-s2.0-85042361626
2-s2.0-85042361626.pdf
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv Scientific Reports
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reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
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