Por favor, use este identificador para citar o enlazar este ítem: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1177516
Registro completo de metadatos
Campo DCValorLengua/Idioma
dc.contributor.authorCOSTA, F. F.
dc.contributor.authorOLIVEIRA JUNIOR, R. C. de
dc.contributor.authorALMEIDA, D. R. A. de
dc.contributor.authorROSA, D. M.
dc.contributor.authorSILVA, K. E. da
dc.contributor.authorTONINI, H.
dc.contributor.authorBELDINI, T. P.
dc.contributor.authorSANTOS, D. B. dos
dc.contributor.authorGUEDES, M. C.
dc.date.accessioned2025-07-28T12:48:04Z-
dc.date.available2025-07-28T12:48:04Z-
dc.date.created2025-07-28
dc.date.issued2025
dc.identifier.citationSustainability, v. 17, n. 13, article 6049, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1177516-
dc.descriptionThe Amazon rainforest hosts a diverse array of forest types, including those where Brazil nut (Bertholletia excelsa) occurs, which plays a crucial ecological and economic role. The Brazil nut is the second most important non-timber forest product in the Amazon, a symbol of development and sustainable use in the region, promoting the conservation of the standing forest. Understanding the vertical structure of these forests is essential to assess their ecological complexity and inform sustainable management strategies. We used terrestrial laser scanning (TLS) to assess the vertical structure of Amazonian forests with the occurrence of Brazil nut (Bertholletia excelsa) at regional (Amazonas, Mato Grosso, Pará, and Amapá) and local scales (forest typologies in Amapá). TLS allowed high-resolution three-dimensional characterization of canopy layers, enabling the extraction of structural metrics such as canopy height, rugosity, and leaf area index (LAI). These metrics were analyzed to quantify the forest vertical complexity and compare structural variability across spatial scales. These findings demonstrate the utility of TLS as a precise tool for quantifying forest structure and highlight the importance of integrating structural data in conservation planning and forest monitoring initiatives involving B. excelsa.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCopa
dc.subjectDensidade
dc.titleTerrestrial LiDAR technology to evaluate the vertical structure of stands of Bertholletia excelsa Bonpl., a species symbol of conservation through sustainable use in the brazilian Amazon.
dc.typeArtigo de periódico
dc.subject.thesagroCastanha do Para
dc.subject.thesagroÁrea Foliar
dc.subject.thesagroAltura
dc.subject.thesagroFloresta
dc.subject.thesagroFloresta Tropical
riaa.ainfo.id1177516
riaa.ainfo.lastupdate2025-07-28
dc.identifier.doihttps://doi.org/10.3390/su17136049
dc.contributor.institutionFELIPE FELIX COSTA, UNIVERSIDADE FEDERAL DO AMAPÁ; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; DANILO ROBERTI ALVES DE ALMEIDA, UNIVERSIDADE DE SÃO PAULO; DIOGO MARTINS ROSA, UNIVERSIDADE FEDERAL DE RONDÔNIA; KATIA EMIDIO DA SILVA, CPAA; HELIO TONINI, CPAMT; TROY PATRICK BELDINI, UNITED STATE OF DEPARTMENT OF AGRICULTURE; DARLISSON BENTES DOS SANTOS; MARCELINO CARNEIRO GUEDES, CPAF-AP.
Aparece en las colecciones:Artigo em periódico indexado (CPATU)

Ficheros en este ítem:
Fichero Descripción TamañoFormato 
TerrestrialLidarTechnology.pdf3.34 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro sencillo del ítem

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace