The influence of riverine barriers, climate, and topography on the biogeographic regionalization of Amazonian anurans
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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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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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 |
language |
eng |
dc.relation.none.fl_str_mv |
Scientific Reports 1,533 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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 |
|
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1808128964819943424 |