How do distribution mapping methods perform in estimating beta diversity at macroecological scales? A case study with Neotropical anurans
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/10.1590/0001-3765202220210943 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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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) |
repository.mail.fl_str_mv |
|
_version_ |
1799964373214560256 |