Monitoring immediate post-fire vegetation dynamics of tropical mountain grasslands using phenocameras

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorInstituto Tecnológico Vale-
Autor(es): dc.contributorFacultad de Ciencias-
Autor(es): dc.contributorUniversidade Estadual de Maringá (UEM)-
Autor(es): dc.contributorWageningen University and Research-
Autor(es): dc.contributorNTNU - Norwegian University of Science and Technology-
Autor(es): dc.contributorUniversidade Federal de Minas Gerais (UFMG)-
Autor(es): dc.creatorAlberton, Bruna-
Autor(es): dc.creatorAlvarado, Swanni T.-
Autor(es): dc.creatorda Silva Torres, Ricardo-
Autor(es): dc.creatorFernandes, Geraldo Wilson-
Autor(es): dc.creatorMorellato, Leonor Patricia C.-
Data de aceite: dc.date.accessioned2025-08-21T21:15:09Z-
Data de disponibilização: dc.date.available2025-08-21T21:15:09Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-11-30-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.ecoinf.2023.102341-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/307282-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/307282-
Descrição: dc.descriptionThe growing incidence of uncontrolled wildfires all over the globe has called for urgent close monitoring of fire events, awareness, prevention, and management approaches. Phenocameras, ground sensors for monitoring plant phenology by taking sequential RGB digital images, can be an accessible and accurate tool for identifying, monitoring, and analyzing fire events and vegetation recovery. Here, we evaluated the application of an RGB camera system as a methodological approach to monitor and assess the post-fire recovery of a tropical mountain grasslands, the Brazilian campo rupestre. Using camera-derived vegetation indices, we investigated the immediate post-fire regrowth, and short-term post-fire leafing among four vegetation types: wet grassland, peatbog, stony grassland, and rocky outcrop. We recorded significant variations in the post-fire recovery among the grassy vegetation types. The results indicated that fire represents an important driver of leafing dynamics by shortening the length of post-fire growing seasons. The phenological metric of growing season length (GSL) indicated a full post-fire ecosystem recovery in the third year after the fire. The green-up index represented well the dynamics of post-fire vegetation regrowth and recovery across the landscape. Phenocameras rapidly detected fire occurrence and post-fire vegetation responses across vegetation types, demonstrating their significant application in the fire ecology of grassy ecosystems. The accessible, low-cost, and easy-to-setup camera system allows the application of near-remote phenology as a monitoring system and an indicator of vegetation recovery, which may improve restoration and management plans, promoting the conservation of the highly diverse campo rupestre grassland ecosystems.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionMicrosoft Research-
Descrição: dc.descriptionFundação Amparo e Desenvolvimento da Pesquisa-
Descrição: dc.descriptionCenter for Research on Biodiversity Dynamics and Climate Change Phenology Laboratory Department of Biodiversity Sao Paulo State University UNESP, São Paulo-
Descrição: dc.descriptionInstituto Tecnológico Vale, Pará-
Descrição: dc.descriptionUniversidad Nacional de Colombia Facultad de Ciencias Departamento de Biología, Bogotá D.C.-
Descrição: dc.descriptionUniversidade Estadual do Maranhão (UEMA) Programa de Pós-graduação em Geografia Natureza e Dinâmica do Espaço, Maranhão-
Descrição: dc.descriptionWageningen Data Competence Center Wageningen University and Research, P.O. Box 9100, HA-
Descrição: dc.descriptionDepartment of ICT and Natural Sciences NTNU - Norwegian University of Science and Technology, Larsgårdsvegen 2-
Descrição: dc.descriptionUniversidade Federal de Minas Gerais-
Descrição: dc.descriptionCenter for Research on Biodiversity Dynamics and Climate Change Phenology Laboratory Department of Biodiversity Sao Paulo State University UNESP, São Paulo-
Descrição: dc.descriptionFAPESP: #2014/12728-1-
Descrição: dc.descriptionCNPq: #428055/2018-4-
Descrição: dc.descriptionMicrosoft Research: (#2013/50155-0-
Descrição: dc.descriptionFundação Amparo e Desenvolvimento da Pesquisa: (#2161/2022-
Descrição: dc.descriptionCNPq: (#380480/2019-0-
Idioma: dc.languageen-
Relação: dc.relationEcological Informatics-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCamera-derived time series-
Palavras-chave: dc.subjectCampo rupestre-
Palavras-chave: dc.subjectFire ecology-
Palavras-chave: dc.subjectGrassland management-
Palavras-chave: dc.subjectLeaf phenology-
Palavras-chave: dc.subjectPhenocameras-
Palavras-chave: dc.subjectPost-fire vegetation recovery-
Palavras-chave: dc.subjectSerra do Cipó-
Título: dc.titleMonitoring immediate post-fire vegetation dynamics of tropical mountain grasslands using phenocameras-
Tipo de arquivo: dc.typelivro digital-
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