Setting priority conservation management regions to reverse rapid range decline of a key neotropical forest ungulate
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/10.1016/j.gecco.2021.e01796 http://hdl.handle.net/11449/233694 |
Resumo: | Mammals are important components of biodiversity that have been drastically and rapidly impacted by climate change, habitat loss, and anthropogenic pressure. Understanding key species distribution to optimize conservation targets is both urgent and necessary to reverse the current biodiversity crisis. Herein, we applied habitat suitability models for a key Neotropical forest ungulate, the white-lipped peccary (WLP Tayassu pecari), to investigate the effects of climate and landscape modifications on its distribution, which has been drastically reduced in Brazil. We used 318 primary records of WLP to derive habitat suitability maps across Brazil. Our models included bioclimatic, topographic, landscape, and human influence predictors in two modelling approaches. Models including all categories of predictors obtained the highest predictive ability and showed prevalence of suitable areas in forested regions of the country, covering 49% of the Brazilian territory. Filtering out small forest fragments (<2050 ha) reduced the suitable area by 5%, with a further reduction of 4% that was caused by deforestation until 2020, therefore until 2020, the species has suffered a reduction of ~60% from its historical range in Brazil. Of the 40% of the Brazilian territory suitable to WLP, only 12% is protected. In the Atlantic Forest, only half of all protected areas have suitable habitat for WLP and even less in Pantanal (44%), Cerrado (14%) and Caatinga (7%). In a second modelling approach, mapping the areas with suitable climate and those with suitable landscapes separately, allowed us to identify four categories of conservation values, and showed that only 17% of the Brazilian territory has both high landscape and climatic suitability for WLP. Our models can help inform complementary conservation management strategies and actions that could be essential in slowing down and possibly reversing current trends of population and geographic range reductions for the species, thereby averting a possible future collapse of forest ecosystem functioning in the Neotropical region. |
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Setting priority conservation management regions to reverse rapid range decline of a key neotropical forest ungulateDefaunation, protected areasDeforestationHabitat fragmentationHabitat lossSpecies distribution modelTayassu pecariMammals are important components of biodiversity that have been drastically and rapidly impacted by climate change, habitat loss, and anthropogenic pressure. Understanding key species distribution to optimize conservation targets is both urgent and necessary to reverse the current biodiversity crisis. Herein, we applied habitat suitability models for a key Neotropical forest ungulate, the white-lipped peccary (WLP Tayassu pecari), to investigate the effects of climate and landscape modifications on its distribution, which has been drastically reduced in Brazil. We used 318 primary records of WLP to derive habitat suitability maps across Brazil. Our models included bioclimatic, topographic, landscape, and human influence predictors in two modelling approaches. Models including all categories of predictors obtained the highest predictive ability and showed prevalence of suitable areas in forested regions of the country, covering 49% of the Brazilian territory. Filtering out small forest fragments (<2050 ha) reduced the suitable area by 5%, with a further reduction of 4% that was caused by deforestation until 2020, therefore until 2020, the species has suffered a reduction of ~60% from its historical range in Brazil. Of the 40% of the Brazilian territory suitable to WLP, only 12% is protected. In the Atlantic Forest, only half of all protected areas have suitable habitat for WLP and even less in Pantanal (44%), Cerrado (14%) and Caatinga (7%). In a second modelling approach, mapping the areas with suitable climate and those with suitable landscapes separately, allowed us to identify four categories of conservation values, and showed that only 17% of the Brazilian territory has both high landscape and climatic suitability for WLP. Our models can help inform complementary conservation management strategies and actions that could be essential in slowing down and possibly reversing current trends of population and geographic range reductions for the species, thereby averting a possible future collapse of forest ecosystem functioning in the Neotropical region.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Spatial Ecology and Conservation Laboratory (LEEC) Postgraduate Program in Zoology Ecology Department Institute of Biosciences São Paulo State University (UNESP)Department of Earth and Environmental Science Vanderbilt University, 5726 Stevenson Center; 7th floorDepartment of Botany and Ecology Institute of Bioscience (IB) Universidade Federal de Mato Grosso UFMT – CuiabáDepartment of Biosciences Swansea UniversityCentre for Biomathematics Swansea UniversityPeccary Project/IUCN/SSC Peccary Specialist GroupSchool of Environmental Sciences University of East AngliaInstituto Juruá, Rua das Papoulas 97Centre for Biodiversity & Environment Research Department of Genetics Evolution & Environment University College LondonSpatial Ecology and Conservation Laboratory (LEEC) Postgraduate Program in Zoology Ecology Department Institute of Biosciences São Paulo State University (UNESP)CNPq: 161089/2014–3FAPESP: 2013/50421–2FAPESP: 2014/23132–2FAPESP: 2016/09957–4FAPESP: 2017/09676–8Universidade Estadual Paulista (UNESP)Vanderbilt UniversityUFMT – CuiabáSwansea UniversityPeccary Project/IUCN/SSC Peccary Specialist GroupUniversity of East AngliaUniversidade Federal da Paraíba (UFPB)University College LondonOshima, Júlia Emi de Faria [UNESP]Jorge, Maria Luisa S.P.Sobral-Souza, Thadeu [UNESP]Börger, LucaKeuroghlian, AlexinePeres, Carlos A.Vancine, Maurício Humberto [UNESP]Collen, BenRibeiro, Milton Cezar [UNESP]2022-05-01T09:47:18Z2022-05-01T09:47:18Z2021-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.gecco.2021.e01796Global Ecology and Conservation, v. 31.2351-9894http://hdl.handle.net/11449/23369410.1016/j.gecco.2021.e017962-s2.0-85117266002Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGlobal Ecology and Conservationinfo:eu-repo/semantics/openAccess2022-05-01T09:47:18Zoai:repositorio.unesp.br:11449/233694Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:36:32.596867Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Setting priority conservation management regions to reverse rapid range decline of a key neotropical forest ungulate |
title |
Setting priority conservation management regions to reverse rapid range decline of a key neotropical forest ungulate |
spellingShingle |
Setting priority conservation management regions to reverse rapid range decline of a key neotropical forest ungulate Oshima, Júlia Emi de Faria [UNESP] Defaunation, protected areas Deforestation Habitat fragmentation Habitat loss Species distribution model Tayassu pecari |
title_short |
Setting priority conservation management regions to reverse rapid range decline of a key neotropical forest ungulate |
title_full |
Setting priority conservation management regions to reverse rapid range decline of a key neotropical forest ungulate |
title_fullStr |
Setting priority conservation management regions to reverse rapid range decline of a key neotropical forest ungulate |
title_full_unstemmed |
Setting priority conservation management regions to reverse rapid range decline of a key neotropical forest ungulate |
title_sort |
Setting priority conservation management regions to reverse rapid range decline of a key neotropical forest ungulate |
author |
Oshima, Júlia Emi de Faria [UNESP] |
author_facet |
Oshima, Júlia Emi de Faria [UNESP] Jorge, Maria Luisa S.P. Sobral-Souza, Thadeu [UNESP] Börger, Luca Keuroghlian, Alexine Peres, Carlos A. Vancine, Maurício Humberto [UNESP] Collen, Ben Ribeiro, Milton Cezar [UNESP] |
author_role |
author |
author2 |
Jorge, Maria Luisa S.P. Sobral-Souza, Thadeu [UNESP] Börger, Luca Keuroghlian, Alexine Peres, Carlos A. Vancine, Maurício Humberto [UNESP] Collen, Ben Ribeiro, Milton Cezar [UNESP] |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Vanderbilt University UFMT – Cuiabá Swansea University Peccary Project/IUCN/SSC Peccary Specialist Group University of East Anglia Universidade Federal da Paraíba (UFPB) University College London |
dc.contributor.author.fl_str_mv |
Oshima, Júlia Emi de Faria [UNESP] Jorge, Maria Luisa S.P. Sobral-Souza, Thadeu [UNESP] Börger, Luca Keuroghlian, Alexine Peres, Carlos A. Vancine, Maurício Humberto [UNESP] Collen, Ben Ribeiro, Milton Cezar [UNESP] |
dc.subject.por.fl_str_mv |
Defaunation, protected areas Deforestation Habitat fragmentation Habitat loss Species distribution model Tayassu pecari |
topic |
Defaunation, protected areas Deforestation Habitat fragmentation Habitat loss Species distribution model Tayassu pecari |
description |
Mammals are important components of biodiversity that have been drastically and rapidly impacted by climate change, habitat loss, and anthropogenic pressure. Understanding key species distribution to optimize conservation targets is both urgent and necessary to reverse the current biodiversity crisis. Herein, we applied habitat suitability models for a key Neotropical forest ungulate, the white-lipped peccary (WLP Tayassu pecari), to investigate the effects of climate and landscape modifications on its distribution, which has been drastically reduced in Brazil. We used 318 primary records of WLP to derive habitat suitability maps across Brazil. Our models included bioclimatic, topographic, landscape, and human influence predictors in two modelling approaches. Models including all categories of predictors obtained the highest predictive ability and showed prevalence of suitable areas in forested regions of the country, covering 49% of the Brazilian territory. Filtering out small forest fragments (<2050 ha) reduced the suitable area by 5%, with a further reduction of 4% that was caused by deforestation until 2020, therefore until 2020, the species has suffered a reduction of ~60% from its historical range in Brazil. Of the 40% of the Brazilian territory suitable to WLP, only 12% is protected. In the Atlantic Forest, only half of all protected areas have suitable habitat for WLP and even less in Pantanal (44%), Cerrado (14%) and Caatinga (7%). In a second modelling approach, mapping the areas with suitable climate and those with suitable landscapes separately, allowed us to identify four categories of conservation values, and showed that only 17% of the Brazilian territory has both high landscape and climatic suitability for WLP. Our models can help inform complementary conservation management strategies and actions that could be essential in slowing down and possibly reversing current trends of population and geographic range reductions for the species, thereby averting a possible future collapse of forest ecosystem functioning in the Neotropical region. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-01 2022-05-01T09:47:18Z 2022-05-01T09:47:18Z |
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/10.1016/j.gecco.2021.e01796 Global Ecology and Conservation, v. 31. 2351-9894 http://hdl.handle.net/11449/233694 10.1016/j.gecco.2021.e01796 2-s2.0-85117266002 |
url |
http://dx.doi.org/10.1016/j.gecco.2021.e01796 http://hdl.handle.net/11449/233694 |
identifier_str_mv |
Global Ecology and Conservation, v. 31. 2351-9894 10.1016/j.gecco.2021.e01796 2-s2.0-85117266002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Global Ecology and Conservation |
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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1808128254262902784 |