Knowledge gaps hamper understanding the relationship between fragmentation and biodiversity loss: The case of Atlantic Forest fruit-feeding butterflies
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.7717/peerj.11673 http://hdl.handle.net/11449/233201 |
Resumo: | Background. A key challenge for conservation biology in the Neotropics is to understand how deforestation affects biodiversity at various levels of landscape fragmentation. Addressing this challenge requires expanding the coverage of known biodiversity data, which remain to date restricted to a few well-surveyed regions. Here, we assess the sampling coverage and biases in biodiversity data on fruit-feeding butterflies at the Brazilian Atlantic Forest, discussing their effect on our understanding of the relationship between forest fragmentation and biodiversity at a large-scale. We hypothesize that sampling effort is biased towards large and connected fragments, which occur jointly in space at the Atlantic forest. Methods. We used a comprehensive dataset of Atlantic Forest fruit-feeding butterfly communities to test for sampling biases towards specific geographical areas, climate conditions and landscape configurations. Results. We found a pattern of geographical aggregation of sampling sites, independently of scale, and a strong sampling bias towards large and connected forest fragments, located near cities and roads. Sampling gaps are particularly acute in small and disconnected forest fragments and rare climate conditions. In contrast, currently available data can provide a fair picture of fruit-feeding butterfly communities in large and connected Atlantic Forest remnants. Discussion. Biased data hamper the inference of the functional relationship between deforestation and biodiversity at a large-scale, since they are geographically clustered and have sampling gaps in small and disconnected fragments. These data are useful to inform decision-makers regarding conservation efforts to curb biodiversity loss in the Atlantic Forest. Thus, we suggest to expand sampling effort to small and disconnected forest fragments, which would allow more accurate evaluations of the effects of landscape modification. |
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Knowledge gaps hamper understanding the relationship between fragmentation and biodiversity loss: The case of Atlantic Forest fruit-feeding butterfliesAtlantic ForestBiodiversity dataButterfliesDeforestationHabitat fragmentationLandscapeMacroecologySampling biasBackground. A key challenge for conservation biology in the Neotropics is to understand how deforestation affects biodiversity at various levels of landscape fragmentation. Addressing this challenge requires expanding the coverage of known biodiversity data, which remain to date restricted to a few well-surveyed regions. Here, we assess the sampling coverage and biases in biodiversity data on fruit-feeding butterflies at the Brazilian Atlantic Forest, discussing their effect on our understanding of the relationship between forest fragmentation and biodiversity at a large-scale. We hypothesize that sampling effort is biased towards large and connected fragments, which occur jointly in space at the Atlantic forest. Methods. We used a comprehensive dataset of Atlantic Forest fruit-feeding butterfly communities to test for sampling biases towards specific geographical areas, climate conditions and landscape configurations. Results. We found a pattern of geographical aggregation of sampling sites, independently of scale, and a strong sampling bias towards large and connected forest fragments, located near cities and roads. Sampling gaps are particularly acute in small and disconnected forest fragments and rare climate conditions. In contrast, currently available data can provide a fair picture of fruit-feeding butterfly communities in large and connected Atlantic Forest remnants. Discussion. Biased data hamper the inference of the functional relationship between deforestation and biodiversity at a large-scale, since they are geographically clustered and have sampling gaps in small and disconnected fragments. These data are useful to inform decision-makers regarding conservation efforts to curb biodiversity loss in the Atlantic Forest. Thus, we suggest to expand sampling effort to small and disconnected forest fragments, which would allow more accurate evaluations of the effects of landscape modification.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Departamento de Botânica e Ecologia Universidade Federal de Mato GrossoDepartment of Biogeography and Global Change Museo Nacional de Ciencias Naturales (MNCN-CSIC)Instituto de Ciências Biológicas Universidade Federal de AlagoasDepartamento de Biologia Animal Universidade Estadual de CampinasPrograma de Pós-Graduação em Ecologia e Conservação da Biodiversidade Universidade Federal de Mato GrossoLaboratório de Orthropterologia Universidade Estadual do Oeste do ParanáUniversidade Federal da Integração Latino AmericanaInstituto de Biologia Universidade Federal da BahiaInstituto de Biociências Universidade Estadual de São PauloDepartamento de Ecologia Universidade Federal de GoiásInstituto de Biociências Universidade Estadual de São PauloCNPq: 150178/2019-0CNPq: 151003/2018-1CNPq: 152816/2016-0CAPES: 88881.068425/2014-01Universidade Federal de Mato GrossoMuseo Nacional de Ciencias Naturales (MNCN-CSIC)Universidade Federal de AlagoasUniversidade Estadual de Campinas (UNICAMP)Universidade Estadual do Oeste do ParanáUniversidade Federal da Integração Latino AmericanaUniversidade Federal da Bahia (UFBA)Universidade Estadual Paulista (UNESP)Universidade Federal de Goiás (UFG)Sobral-Souza, ThadeuStropp, JulianaSantos, Jessie PereiraPrasniewski, Victor MateusSzinwelski, NeucirVilela, BrunoFreitas, André Victor LucciRibeiro, Milton Cezar [UNESP]Hortal, Joaquín2022-05-01T05:29:36Z2022-05-01T05:29:36Z2021-06-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.7717/peerj.11673PeerJ.2167-8359http://hdl.handle.net/11449/23320110.7717/peerj.116732-s2.0-85108801515Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPeerJinfo:eu-repo/semantics/openAccess2022-05-01T05:29:36Zoai:repositorio.unesp.br:11449/233201Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:26:04.590011Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Knowledge gaps hamper understanding the relationship between fragmentation and biodiversity loss: The case of Atlantic Forest fruit-feeding butterflies |
title |
Knowledge gaps hamper understanding the relationship between fragmentation and biodiversity loss: The case of Atlantic Forest fruit-feeding butterflies |
spellingShingle |
Knowledge gaps hamper understanding the relationship between fragmentation and biodiversity loss: The case of Atlantic Forest fruit-feeding butterflies Sobral-Souza, Thadeu Atlantic Forest Biodiversity data Butterflies Deforestation Habitat fragmentation Landscape Macroecology Sampling bias |
title_short |
Knowledge gaps hamper understanding the relationship between fragmentation and biodiversity loss: The case of Atlantic Forest fruit-feeding butterflies |
title_full |
Knowledge gaps hamper understanding the relationship between fragmentation and biodiversity loss: The case of Atlantic Forest fruit-feeding butterflies |
title_fullStr |
Knowledge gaps hamper understanding the relationship between fragmentation and biodiversity loss: The case of Atlantic Forest fruit-feeding butterflies |
title_full_unstemmed |
Knowledge gaps hamper understanding the relationship between fragmentation and biodiversity loss: The case of Atlantic Forest fruit-feeding butterflies |
title_sort |
Knowledge gaps hamper understanding the relationship between fragmentation and biodiversity loss: The case of Atlantic Forest fruit-feeding butterflies |
author |
Sobral-Souza, Thadeu |
author_facet |
Sobral-Souza, Thadeu Stropp, Juliana Santos, Jessie Pereira Prasniewski, Victor Mateus Szinwelski, Neucir Vilela, Bruno Freitas, André Victor Lucci Ribeiro, Milton Cezar [UNESP] Hortal, Joaquín |
author_role |
author |
author2 |
Stropp, Juliana Santos, Jessie Pereira Prasniewski, Victor Mateus Szinwelski, Neucir Vilela, Bruno Freitas, André Victor Lucci Ribeiro, Milton Cezar [UNESP] Hortal, Joaquín |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Mato Grosso Museo Nacional de Ciencias Naturales (MNCN-CSIC) Universidade Federal de Alagoas Universidade Estadual de Campinas (UNICAMP) Universidade Estadual do Oeste do Paraná Universidade Federal da Integração Latino Americana Universidade Federal da Bahia (UFBA) Universidade Estadual Paulista (UNESP) Universidade Federal de Goiás (UFG) |
dc.contributor.author.fl_str_mv |
Sobral-Souza, Thadeu Stropp, Juliana Santos, Jessie Pereira Prasniewski, Victor Mateus Szinwelski, Neucir Vilela, Bruno Freitas, André Victor Lucci Ribeiro, Milton Cezar [UNESP] Hortal, Joaquín |
dc.subject.por.fl_str_mv |
Atlantic Forest Biodiversity data Butterflies Deforestation Habitat fragmentation Landscape Macroecology Sampling bias |
topic |
Atlantic Forest Biodiversity data Butterflies Deforestation Habitat fragmentation Landscape Macroecology Sampling bias |
description |
Background. A key challenge for conservation biology in the Neotropics is to understand how deforestation affects biodiversity at various levels of landscape fragmentation. Addressing this challenge requires expanding the coverage of known biodiversity data, which remain to date restricted to a few well-surveyed regions. Here, we assess the sampling coverage and biases in biodiversity data on fruit-feeding butterflies at the Brazilian Atlantic Forest, discussing their effect on our understanding of the relationship between forest fragmentation and biodiversity at a large-scale. We hypothesize that sampling effort is biased towards large and connected fragments, which occur jointly in space at the Atlantic forest. Methods. We used a comprehensive dataset of Atlantic Forest fruit-feeding butterfly communities to test for sampling biases towards specific geographical areas, climate conditions and landscape configurations. Results. We found a pattern of geographical aggregation of sampling sites, independently of scale, and a strong sampling bias towards large and connected forest fragments, located near cities and roads. Sampling gaps are particularly acute in small and disconnected forest fragments and rare climate conditions. In contrast, currently available data can provide a fair picture of fruit-feeding butterfly communities in large and connected Atlantic Forest remnants. Discussion. Biased data hamper the inference of the functional relationship between deforestation and biodiversity at a large-scale, since they are geographically clustered and have sampling gaps in small and disconnected fragments. These data are useful to inform decision-makers regarding conservation efforts to curb biodiversity loss in the Atlantic Forest. Thus, we suggest to expand sampling effort to small and disconnected forest fragments, which would allow more accurate evaluations of the effects of landscape modification. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25 2022-05-01T05:29:36Z 2022-05-01T05:29:36Z |
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/10.7717/peerj.11673 PeerJ. 2167-8359 http://hdl.handle.net/11449/233201 10.7717/peerj.11673 2-s2.0-85108801515 |
url |
http://dx.doi.org/10.7717/peerj.11673 http://hdl.handle.net/11449/233201 |
identifier_str_mv |
PeerJ. 2167-8359 10.7717/peerj.11673 2-s2.0-85108801515 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
PeerJ |
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 |
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1808129427078381568 |