How do distribution mapping methods perform in estimating beta diversity at macroecological scales? A case study with Neotropical anurans

Detalhes bibliográficos
Autor(a) principal: Souza, Bruno S. [UNESP]
Data de Publicação: 2022
Outros Autores: Coletta, BRUNA B. Della [UNESP], Vasconcelos, Tiago S. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/0001-3765202220210943
http://hdl.handle.net/11449/240571
Resumo: Species distribution mapping methods have their advantages and limitations concerning their use on theoretical and/or applied macroecological approaches. However, it remains underexplored how the estimates of community ecology metrics vary across the distributions generated by different mapping methods. Here, we mapped the distribution patterns of the anuran beta diversity in the Atlantic Forest and Cerrado hotspots generated by three mapping methods: point-to-grid (PTG), extent-of-occurrence (EOO), and ecological niche modelling (ENM) maps, so we were able to compare the congruence of the local contribution to beta diversity index (LCBD) among them, as well as their turnover and nestedness components. PTGs generated the most divergent LCBD values probably due to the more resolved spatial scale in which species’ presence are considered, so EEO and ENM generated similar beta diversity estimates for both hotspots. High LCBD values in the Cerrado were recorded in ecotone regions, whereas in the Atlantic Forest the highest beta diversity values were found along the Atlantic coast. The structure of beta diversity of PTG showed way too high values of importance for the turnover component compared to the EEO and ENM maps, which also recorded higher importance for the turnover than for the nestedness component.
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spelling How do distribution mapping methods perform in estimating beta diversity at macroecological scales? A case study with Neotropical anuransamphibiaAtlantic ForestbiogeographyCerradomacroecologyNeotropical anuransSpecies distribution mapping methods have their advantages and limitations concerning their use on theoretical and/or applied macroecological approaches. However, it remains underexplored how the estimates of community ecology metrics vary across the distributions generated by different mapping methods. Here, we mapped the distribution patterns of the anuran beta diversity in the Atlantic Forest and Cerrado hotspots generated by three mapping methods: point-to-grid (PTG), extent-of-occurrence (EOO), and ecological niche modelling (ENM) maps, so we were able to compare the congruence of the local contribution to beta diversity index (LCBD) among them, as well as their turnover and nestedness components. PTGs generated the most divergent LCBD values probably due to the more resolved spatial scale in which species’ presence are considered, so EEO and ENM generated similar beta diversity estimates for both hotspots. High LCBD values in the Cerrado were recorded in ecotone regions, whereas in the Atlantic Forest the highest beta diversity values were found along the Atlantic coast. The structure of beta diversity of PTG showed way too high values of importance for the turnover component compared to the EEO and ENM maps, which also recorded higher importance for the turnover than for the nestedness component.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Universidade Estadual Paulista/UNESP Departamento de Ciências Biológicas Laboratório de Biogeografia e Macroecologia (LaBMac), Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, SPPrograma de Pós-Graduação em Biociências Universidade Estadual Paulista/UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, SPUniversidade Estadual Paulista/UNESP Departamento de Ciências Biológicas Laboratório de Biogeografia e Macroecologia (LaBMac), Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, SPPrograma de Pós-Graduação em Biociências Universidade Estadual Paulista/UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, SPFAPESP: 2011/18510-0Universidade Estadual Paulista (UNESP)Souza, Bruno S. [UNESP]Coletta, BRUNA B. Della [UNESP]Vasconcelos, Tiago S. [UNESP]2023-03-01T20:23:15Z2023-03-01T20:23:15Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1590/0001-3765202220210943Anais da Academia Brasileira de Ciencias, v. 94.1678-26900001-3765http://hdl.handle.net/11449/24057110.1590/0001-37652022202109432-s2.0-85135119786Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAnais da Academia Brasileira de Cienciasinfo:eu-repo/semantics/openAccess2023-03-01T20:23:15Zoai:repositorio.unesp.br:11449/240571Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-03-01T20:23:15Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv How do distribution mapping methods perform in estimating beta diversity at macroecological scales? A case study with Neotropical anurans
title How do distribution mapping methods perform in estimating beta diversity at macroecological scales? A case study with Neotropical anurans
spellingShingle How do distribution mapping methods perform in estimating beta diversity at macroecological scales? A case study with Neotropical anurans
Souza, Bruno S. [UNESP]
amphibia
Atlantic Forest
biogeography
Cerrado
macroecology
Neotropical anurans
title_short How do distribution mapping methods perform in estimating beta diversity at macroecological scales? A case study with Neotropical anurans
title_full How do distribution mapping methods perform in estimating beta diversity at macroecological scales? A case study with Neotropical anurans
title_fullStr How do distribution mapping methods perform in estimating beta diversity at macroecological scales? A case study with Neotropical anurans
title_full_unstemmed How do distribution mapping methods perform in estimating beta diversity at macroecological scales? A case study with Neotropical anurans
title_sort How do distribution mapping methods perform in estimating beta diversity at macroecological scales? A case study with Neotropical anurans
author Souza, Bruno S. [UNESP]
author_facet Souza, Bruno S. [UNESP]
Coletta, BRUNA B. Della [UNESP]
Vasconcelos, Tiago S. [UNESP]
author_role author
author2 Coletta, BRUNA B. Della [UNESP]
Vasconcelos, Tiago S. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Souza, Bruno S. [UNESP]
Coletta, BRUNA B. Della [UNESP]
Vasconcelos, Tiago S. [UNESP]
dc.subject.por.fl_str_mv amphibia
Atlantic Forest
biogeography
Cerrado
macroecology
Neotropical anurans
topic amphibia
Atlantic Forest
biogeography
Cerrado
macroecology
Neotropical anurans
description Species distribution mapping methods have their advantages and limitations concerning their use on theoretical and/or applied macroecological approaches. However, it remains underexplored how the estimates of community ecology metrics vary across the distributions generated by different mapping methods. Here, we mapped the distribution patterns of the anuran beta diversity in the Atlantic Forest and Cerrado hotspots generated by three mapping methods: point-to-grid (PTG), extent-of-occurrence (EOO), and ecological niche modelling (ENM) maps, so we were able to compare the congruence of the local contribution to beta diversity index (LCBD) among them, as well as their turnover and nestedness components. PTGs generated the most divergent LCBD values probably due to the more resolved spatial scale in which species’ presence are considered, so EEO and ENM generated similar beta diversity estimates for both hotspots. High LCBD values in the Cerrado were recorded in ecotone regions, whereas in the Atlantic Forest the highest beta diversity values were found along the Atlantic coast. The structure of beta diversity of PTG showed way too high values of importance for the turnover component compared to the EEO and ENM maps, which also recorded higher importance for the turnover than for the nestedness component.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-03-01T20:23:15Z
2023-03-01T20:23:15Z
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/10.1590/0001-3765202220210943
Anais da Academia Brasileira de Ciencias, v. 94.
1678-2690
0001-3765
http://hdl.handle.net/11449/240571
10.1590/0001-3765202220210943
2-s2.0-85135119786
url http://dx.doi.org/10.1590/0001-3765202220210943
http://hdl.handle.net/11449/240571
identifier_str_mv Anais da Academia Brasileira de Ciencias, v. 94.
1678-2690
0001-3765
10.1590/0001-3765202220210943
2-s2.0-85135119786
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Anais da Academia Brasileira de Ciencias
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)
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