Using consensus mapping methods as an efficient way of depicting avian distributions in the Caatinga Dry Forest, a poorly known Neotropical biome

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Autor(es): dc.contributorUniversidade Federal Rural de Pernambuco–UFRPE-
Autor(es): dc.contributorUniversidade Federal de Pernambuco (UFPE)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorLeandro-Silva, Victor-
Autor(es): dc.creatorSilva, Marcos Vinicius Alexandre da-
Autor(es): dc.creatorPinto, Flávia Santos-
Autor(es): dc.creatorNaka, Luciano Nicolás-
Data de aceite: dc.date.accessioned2025-08-21T16:14:07Z-
Data de disponibilização: dc.date.available2025-08-21T16:14:07Z-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s43388-022-00101-5-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/240597-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/240597-
Descrição: dc.descriptionMapping species distributions has become central for biodiversity research. Different mapping methods, however, may result in dramatically different spatial patterns. We used expert-drawn maps (EDMs), minimum convex polygons (MCPs), ecological niche models (ENMs), and consensus models, to compare patterns of species ranges and species richness in 12 species of Psittacidae in a poorly known Neotropical ecosystem, the Caatinga Dry Forest. We validated results by comparing the ability of each method to predict the number of Psittacidae species in 17 localities with well-studied avifaunas. Size ranges were highly correlated (from 0.7 to 0.9) among mapping methods, but presented critical spatial differences, which resulted in very different patterns of species richness. When confronted with real data, MCPs and the EDM/MCP consensus method, both correctly predicted the presence of ~ 90% of the species present in the studied areas. However, when taking commission errors into account, MCPs presented the lowest efficiency (56%) among all methods. All three consensus methods (ENM/EDM, ENM/MCP, and EDM/MCP) performed better (> 74% efficiency) than any single method. We conclude that single mapping methods are prone to both higher omission and commission errors, and advocate for the use of consensus methods whenever species ranges will be used in macroecological studies.-
Descrição: dc.descriptionPrograma de Pós-graduação em Etnobiologia e Conservação da Natureza Universidade Federal Rural de Pernambuco–UFRPE, PA-
Descrição: dc.descriptionLaboratório de Ecologia & Evolução de Aves Departamento de Zoologia Universidade Federal de Pernambuco–UFPE, PE-
Descrição: dc.descriptionLaboratório de Ecologia Espacial e Conservação–LEEC Departamento de Ecologia Universidade Estadual Paulista–UNESP, SP-
Descrição: dc.descriptionLaboratório de Ecologia Espacial e Conservação–LEEC Departamento de Ecologia Universidade Estadual Paulista–UNESP, SP-
Idioma: dc.languageen-
Relação: dc.relationOrnithology Research-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCaatinga-
Palavras-chave: dc.subjectMapping methods-
Palavras-chave: dc.subjectParrots-
Palavras-chave: dc.subjectSpecies ranges-
Palavras-chave: dc.subjectSpecies richness-
Título: dc.titleUsing consensus mapping methods as an efficient way of depicting avian distributions in the Caatinga Dry Forest, a poorly known Neotropical biome-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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