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Publicação:
Scale affects the understanding of biases on the spatial knowledge of Atlantic Forest primates

dc.contributor.authorBosco, Nicolas Silva
dc.contributor.authorPrasniewski, Victor Mateus
dc.contributor.authorSantos, Jessie Pereira
dc.contributor.authorSilveira, Natália Stefanini da [UNESP]
dc.contributor.authorCulot, Laurence [UNESP]
dc.contributor.authorRibeiro, Milton Cezar [UNESP]
dc.contributor.authorTessarolo, Geiziane
dc.contributor.authorSobral-Souza, Thadeu
dc.contributor.institutionUniversidade Federal de Mato Grosso
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Estadual de Goiás
dc.date.accessioned2023-03-02T11:50:43Z
dc.date.available2023-03-02T11:50:43Z
dc.date.issued2022-01-01
dc.description.abstractThe biodiversity knowledge has several deficits. The wallacean shortfall—related to species distribution unknowledge—is one of the most studied shortfalls. It is important to identify gaps and biases in spatial biodiversity knowledge. However, to find out where the main biodiversity deficits are we need to know how the biodiversity spatial sampling changes according to spatial scale. Here we use an extensive dataset of Atlantic Forest primates to test spatial bias as a function of spatial scales and cell-size resolutions. Our findings indicate that the sampling coverage and spatial knowledge of Atlantic Forest primates are biased depending on spatial cell-size resolution and scale. We also show that from a broad-scale perspective (regional and global) primate spatial knowledge is spatially unbiased regardless of cell-size resolution considered. In contrast, in narrow-scale perspectives the knowledge may have or not spatial bias depending on the cell-size resolution. Our results suggest that sampling bias can be present or more pronounced in narrow-scale in a local perspective. Thus, the choice of scale and spatial resolution on ecological studies must consider the potential impacts of sampling bias accordingly to each scale and cell-size resolution.en
dc.description.affiliationPrograma de Pós-Graduação em Ecologia e Conservação da Biodiversidade Universidade Federal de Mato Grosso
dc.description.affiliationDepartamento de Biologia Animal Instituto de Biologia Universidade Estadual de Campinas
dc.description.affiliationDepartamento de Biodiversidade Instituto de Biociências Universidade Estadual de São Paulo
dc.description.affiliationPrograma de Pós-graduação em Recursos Naturais do Cerrado Universidade Estadual de Goiás
dc.description.affiliationLaboratório de Macroecologia e Conservação da Biodiversidade Departamento de Botânica e Ecologia Universidade Federal de Mato Grosso, Mato Grosso
dc.description.affiliationEnvironmental Studies Center (CEA) São Paulo State University - UNESP Rio Claro
dc.description.affiliationUnespDepartamento de Biodiversidade Instituto de Biociências Universidade Estadual de São Paulo
dc.description.affiliationUnespEnvironmental Studies Center (CEA) São Paulo State University - UNESP Rio Claro
dc.identifierhttp://dx.doi.org/10.1016/j.pecon.2022.08.002
dc.identifier.citationPerspectives in Ecology and Conservation.
dc.identifier.doi10.1016/j.pecon.2022.08.002
dc.identifier.issn2530-0644
dc.identifier.scopus2-s2.0-85136610114
dc.identifier.urihttp://hdl.handle.net/11449/242197
dc.language.isoeng
dc.relation.ispartofPerspectives in Ecology and Conservation
dc.sourceScopus
dc.subjectAtlantic Forest
dc.subjectBiodiversity bias
dc.subjectMacroecology
dc.subjectPrimates
dc.subjectSpatial ecology
dc.titleScale affects the understanding of biases on the spatial knowledge of Atlantic Forest primatesen
dc.typeArtigo
dspace.entity.typePublication
unesp.author.orcid0000-0003-0666-8995[1]
unesp.author.orcid0000-0002-3353-0134[5]
unesp.author.orcid0000-0003-1361-0062[7]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Rio Claropt
unesp.departmentEcologia - IBpt

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