A framework for near-real time monitoring of diversity patterns based on indirect remote sensing, with an application in the Brazilian Atlantic rainforest

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorCity College of New York-
Autor(es): dc.contributorGraduate School and University Center-
Autor(es): dc.contributorZurich-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversity of Stirling-
Autor(es): dc.creatorPaz, Andrea-
Autor(es): dc.creatorSilva, Thiago S.-
Autor(es): dc.creatorCarnaval, Ana C.-
Data de aceite: dc.date.accessioned2025-08-21T22:56:51Z-
Data de disponibilização: dc.date.available2025-08-21T22:56:51Z-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2022-06-29-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.7717/peerj.13534-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/241275-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/241275-
Descrição: dc.descriptionMonitoring biodiversity change is key to effective conservation policy. While it is difficult to establish in situ biodiversity monitoring programs at broad geographical scales, remote sensing advances allow for near-real time Earth observations that may help with this goal. We combine periodical and freely available remote sensing information describing temperature and precipitation with curated biological information from several groups of animals and plants in the Brazilian Atlantic rainforest to design an indirect remote sensing framework that monitors potential loss and gain of biodiversity in near-real time. Using data from biological collections and information from repeated field inventories, we demonstrate that this framework has the potential to accurately predict trends of biodiversity change for both taxonomic and phylogenetic diversity. The framework identifies areas of potential diversity loss more accurately than areas of species gain, and performs best when applied to broadly distributed groups of animals and plants.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionNational Science Foundation-
Descrição: dc.descriptionDepartment of Biology City College of New York-
Descrição: dc.descriptionPh.D Program in Biology City University of New York Graduate School and University Center-
Descrição: dc.descriptionDepartment of Environmental Systems Science Institute of Integrative Biology Swiss Federal Institute of Technology Zurich-
Descrição: dc.descriptionInstituto de Geociências e Ciências Exatas Departamento de Geografia Ecosystem Dynamics Observatory Universidade Estadual Paulista, São Paulo-
Descrição: dc.descriptionBiological and Environmental Sciences Faculty of Natural Sciences University of Stirling-
Descrição: dc.descriptionInstituto de Geociências e Ciências Exatas Departamento de Geografia Ecosystem Dynamics Observatory Universidade Estadual Paulista, São Paulo-
Descrição: dc.descriptionFAPESP: 2013/50297-0-
Descrição: dc.descriptionNational Science Foundation: DEB 1343578-
Descrição: dc.descriptionNational Science Foundation: DEB-1343612-
Idioma: dc.languageen-
Relação: dc.relationPeerJ-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectBiodiversity-
Palavras-chave: dc.subjectMonitoring-
Palavras-chave: dc.subjectPhylogenetic diversity-
Palavras-chave: dc.subjectPrediction-
Palavras-chave: dc.subjectRichness-
Título: dc.titleA framework for near-real time monitoring of diversity patterns based on indirect remote sensing, with an application in the Brazilian Atlantic rainforest-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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