Autor(es)

Costa, Felipe Felix ; de Oliveira Junior, Raimundo Cosme ; de Almeida, Danilo Roberti Alves ; Rosa, Diogo Martins ; da Silva, Katia Emidio ; Tonini, Helio ; Beldini, Troy Patrick ; Santos, Darlisson Bentes dos ; Guedes, Marcelino Carneiro

• Tipo de documento: Artigo Científico
• Fonte: SUSTAINABILITY; v. 17, n. 13, p. 19-pg., 2025-07-02.

Resumo

The 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, Par & aacute;, and Amap & aacute;) and local scales (forest typologies in Amap & aacute;). 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. (AU)

• Processo FAPESP: 16/05219-9 - Monitoramento de programas de restauração de paisagens florestais por meio de sensoriamento remoto LiDAR.
• Beneficiário: Danilo Roberti Alves de Almeida
• Modalidade de apoio: Bolsas no Brasil - Doutorado