Effects of landscape modification on species richness patterns of fruit-feeding butterflies in Brazilian Atlantic Forest
Aim: To assess the distributional patterns of fruit-feeding butterfly species richness in Atlantic Forest (AF) based on stack species distribution models (SSDM); to evaluate the relative contribution of climate and landscape in the patterns of butterfly species richness; and to recommend conservatio...
| Autores: | , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2020 |
| País: | Brasil |
| Institución: | Universidade Estadual Paulista (UNESP) |
| Repositorio: | Repositório Institucional da UNESP |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.unesp.br:11449/198179 |
| Acceso en línea: | http://dx.doi.org/10.1111/ddi.13007 http://hdl.handle.net/11449/198179 |
| Access Level: | acceso abierto |
| Palabra clave: | Atlantic Forest butterflies conservation diversity macroecology species richness |
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Effects of landscape modification on species richness patterns of fruit-feeding butterflies in Brazilian Atlantic ForestAtlantic Forestbutterfliesconservationdiversitymacroecologyspecies richnessAim: To assess the distributional patterns of fruit-feeding butterfly species richness in Atlantic Forest (AF) based on stack species distribution models (SSDM); to evaluate the relative contribution of climate and landscape in the patterns of butterfly species richness; and to recommend conservation guidelines for AF regions based on the obtained results. Location: Brazilian Atlantic Forest. Methods: We used SSDMs to generate potential distribution maps of butterfly species richness in AF. Our dataset comprises 7,062 records of 279 species, distributed across 122 local communities. We built richness maps based on climate and landscape models and analysed them separately to understand their contribution to the pattern of richness distribution. Then, we combined both models to build a consensus map. Finally, we designed specific conservation strategies based on richness categories distributed on the consensus map. Results: The regions with high-predicted species richness for both climate and landscape models supported the main endemism locations described for other AF taxa in previous studies. Both models predicted intermediate values of species richness for most regions, but the patterns of richness distribution were not fully congruent. High species richness based on landscape metrics was frequently concentrated in the south. Furthermore, locations suitable for high species richness according to climate are near to the endemism centres, but also to dense urban centres, highlighting the potential impacts of the landscape modification on butterfly species richness. Main conclusions: The distribution of fruit-feeding butterfly species richness and endemism reflect the classic division of AF in different sub-regions according to the endemism centres proposed by previous authors for other taxa. The availability of forested habitats seems to be a determining factor for the maintenance of high species richness in AF. Therefore, the loss of natural forest remnants due to landscape modification is the primary threat to butterfly diversity.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Departamento de Biologia Animal Instituto de Biologia Universidade Estadual de Campinas (UNICAMP)Departamento de Botânica e Ecologia Universidade Federal de Mato grosso (UFMT)Departamento de Ecologia Instituto de Biociências Universidade Estadual Paulista (UNESP)Departamento de Ecologia Instituto de Biociências Universidade Estadual Paulista (UNESP)FAPESP: 2011/50225-3FAPESP: 2017/09676-8CNPq: 302585/2011-7CNPq: 303834/2015-3Universidade Estadual de Campinas (UNICAMP)Universidade Federal de Mato grosso (UFMT)Universidade Estadual Paulista (Unesp)2020-12-12T01:05:47Z2020-12-12T01:05:47Z2020-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article196-208http://dx.doi.org/10.1111/ddi.13007Diversity and Distributions, v. 26, n. 2, p. 196-208, 2020.1472-46421366-9516http://hdl.handle.net/11449/19817910.1111/ddi.130072-s2.0-85075315780Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengDiversity and Distributionsinfo:eu-repo/semantics/openAccessSantos, Jessie P.Sobral-Souza, ThadeuBrown, Keith S.Vancine, Maurício Humberto [UNESP]Ribeiro, Milton C. [UNESP]Freitas, André V. L.2021-10-23T09:48:48Zoai:repositorio.unesp.br:11449/198179Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462021-10-23T09:48:48Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
| dc.title.none.fl_str_mv |
Effects of landscape modification on species richness patterns of fruit-feeding butterflies in Brazilian Atlantic Forest |
| title |
Effects of landscape modification on species richness patterns of fruit-feeding butterflies in Brazilian Atlantic Forest |
| spellingShingle |
Effects of landscape modification on species richness patterns of fruit-feeding butterflies in Brazilian Atlantic Forest Santos, Jessie P. Atlantic Forest butterflies conservation diversity macroecology species richness |
| title_short |
Effects of landscape modification on species richness patterns of fruit-feeding butterflies in Brazilian Atlantic Forest |
| title_full |
Effects of landscape modification on species richness patterns of fruit-feeding butterflies in Brazilian Atlantic Forest |
| title_fullStr |
Effects of landscape modification on species richness patterns of fruit-feeding butterflies in Brazilian Atlantic Forest |
| title_full_unstemmed |
Effects of landscape modification on species richness patterns of fruit-feeding butterflies in Brazilian Atlantic Forest |
| title_sort |
Effects of landscape modification on species richness patterns of fruit-feeding butterflies in Brazilian Atlantic Forest |
| dc.creator.none.fl_str_mv |
Santos, Jessie P. Sobral-Souza, Thadeu Brown, Keith S. Vancine, Maurício Humberto [UNESP] Ribeiro, Milton C. [UNESP] Freitas, André V. L. |
| author |
Santos, Jessie P. |
| author_facet |
Santos, Jessie P. Sobral-Souza, Thadeu Brown, Keith S. Vancine, Maurício Humberto [UNESP] Ribeiro, Milton C. [UNESP] Freitas, André V. L. |
| author_role |
author |
| author2 |
Sobral-Souza, Thadeu Brown, Keith S. Vancine, Maurício Humberto [UNESP] Ribeiro, Milton C. [UNESP] Freitas, André V. L. |
| author2_role |
author author author author author |
| dc.contributor.none.fl_str_mv |
Universidade Estadual de Campinas (UNICAMP) Universidade Federal de Mato grosso (UFMT) Universidade Estadual Paulista (Unesp) |
| dc.subject.por.fl_str_mv |
Atlantic Forest butterflies conservation diversity macroecology species richness |
| topic |
Atlantic Forest butterflies conservation diversity macroecology species richness |
| description |
Aim: To assess the distributional patterns of fruit-feeding butterfly species richness in Atlantic Forest (AF) based on stack species distribution models (SSDM); to evaluate the relative contribution of climate and landscape in the patterns of butterfly species richness; and to recommend conservation guidelines for AF regions based on the obtained results. Location: Brazilian Atlantic Forest. Methods: We used SSDMs to generate potential distribution maps of butterfly species richness in AF. Our dataset comprises 7,062 records of 279 species, distributed across 122 local communities. We built richness maps based on climate and landscape models and analysed them separately to understand their contribution to the pattern of richness distribution. Then, we combined both models to build a consensus map. Finally, we designed specific conservation strategies based on richness categories distributed on the consensus map. Results: The regions with high-predicted species richness for both climate and landscape models supported the main endemism locations described for other AF taxa in previous studies. Both models predicted intermediate values of species richness for most regions, but the patterns of richness distribution were not fully congruent. High species richness based on landscape metrics was frequently concentrated in the south. Furthermore, locations suitable for high species richness according to climate are near to the endemism centres, but also to dense urban centres, highlighting the potential impacts of the landscape modification on butterfly species richness. Main conclusions: The distribution of fruit-feeding butterfly species richness and endemism reflect the classic division of AF in different sub-regions according to the endemism centres proposed by previous authors for other taxa. The availability of forested habitats seems to be a determining factor for the maintenance of high species richness in AF. Therefore, the loss of natural forest remnants due to landscape modification is the primary threat to butterfly diversity. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020-12-12T01:05:47Z 2020-12-12T01:05:47Z 2020-02-01 |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1111/ddi.13007 Diversity and Distributions, v. 26, n. 2, p. 196-208, 2020. 1472-4642 1366-9516 http://hdl.handle.net/11449/198179 10.1111/ddi.13007 2-s2.0-85075315780 |
| url |
http://dx.doi.org/10.1111/ddi.13007 http://hdl.handle.net/11449/198179 |
| identifier_str_mv |
Diversity and Distributions, v. 26, n. 2, p. 196-208, 2020. 1472-4642 1366-9516 10.1111/ddi.13007 2-s2.0-85075315780 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
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Diversity and Distributions |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
| dc.format.none.fl_str_mv |
196-208 |
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Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
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Universidade Estadual Paulista (UNESP) |
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UNESP |
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UNESP |
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Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
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repositoriounesp@unesp.br |
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15,301603 |