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

Página do item simplificado
dc.contributor.authorPaz, Andrea
dc.contributor.authorSilva, Thiago S. [UNESP]
dc.contributor.authorCarnaval, Ana C.
dc.contributor.institutionCity College of New York
dc.contributor.institutionGraduate School and University Center
dc.contributor.institutionZurich
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversity of Stirling
dc.date.accessioned2023-03-01T20:54:45Z
dc.date.available2023-03-01T20:54:45Z
dc.date.issued2022-06-29
dc.description.abstractMonitoring 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.en
dc.description.affiliationDepartment of Biology City College of New York
dc.description.affiliationPh.D Program in Biology City University of New York Graduate School and University Center
dc.description.affiliationDepartment of Environmental Systems Science Institute of Integrative Biology Swiss Federal Institute of Technology Zurich
dc.description.affiliationInstituto de Geociências e Ciências Exatas Departamento de Geografia Ecosystem Dynamics Observatory Universidade Estadual Paulista, São Paulo
dc.description.affiliationBiological and Environmental Sciences Faculty of Natural Sciences University of Stirling
dc.description.affiliationUnespInstituto de Geociências e Ciências Exatas Departamento de Geografia Ecosystem Dynamics Observatory Universidade Estadual Paulista, São Paulo
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipNational Science Foundation
dc.description.sponsorshipIdFAPESP: 2013/50297-0
dc.description.sponsorshipIdNational Science Foundation: DEB 1343578
dc.description.sponsorshipIdNational Science Foundation: DEB-1343612
dc.identifierhttp://dx.doi.org/10.7717/peerj.13534
dc.identifier.citationPeerJ, v. 10.
dc.identifier.doi10.7717/peerj.13534
dc.identifier.issn2167-8359
dc.identifier.scopus2-s2.0-85133481662
dc.identifier.urihttp://hdl.handle.net/11449/241275
dc.language.isoeng
dc.relation.ispartofPeerJ
dc.sourceScopus
dc.subjectBiodiversity
dc.subjectMonitoring
dc.subjectPhylogenetic diversity
dc.subjectPrediction
dc.subjectRichness
dc.titleA framework for near-real time monitoring of diversity patterns based on indirect remote sensing, with an application in the Brazilian Atlantic rainforesten
dc.typeArtigo

Arquivos

Coleções

Artigos - Geografia - IGCE