Indicators for monitoring reduced impact logging in the Brazilian amazon derived from airborne laser scanning technology

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Autor(es): dc.contributorAcre Research Nucleus-
Autor(es): dc.contributorEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)-
Autor(es): dc.contributorUniversidade Federal do Pará (UFPA)-
Autor(es): dc.contributorFederal University of Jequitinhonha and Mucuri Valleys (UFJM)-
Autor(es): dc.contributorFederal University of Espirito Santo (UFES)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorGraduate Program in Applied Geosciences and Geodynamic - Institute of Geosciences-
Autor(es): dc.contributorForest Campus Road Canela Fina-
Autor(es): dc.contributorFederal University of Acre (UFAC)-
Autor(es): dc.creatorBarros, Quétila Souza-
Autor(es): dc.creatord' Oliveira, Marcus Vinicio Neves-
Autor(es): dc.creatorda Silva, Evandro Ferreira-
Autor(es): dc.creatorGörgens, Eric Bastos-
Autor(es): dc.creatorde Mendonça, Adriano Ribeiro-
Autor(es): dc.creatorda Silva, Gilson Fernandes-
Autor(es): dc.creatorReis, Cristiano Rodrigues-
Autor(es): dc.creatorGomes, Leilson Ferreira-
Autor(es): dc.creatorde Carvalho, Anelena Lima-
Autor(es): dc.creatorde Oliveira, Erica Karolina Barros-
Autor(es): dc.creatorRodrigues, Nívea Maria Mafra-
Autor(es): dc.creatorRocha, Quinny Soares-
Data de aceite: dc.date.accessioned2025-08-21T21:09:46Z-
Data de disponibilização: dc.date.available2025-08-21T21:09:46Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.ecoinf.2024.102654-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/303952-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/303952-
Descrição: dc.descriptionMonitoring reduced impact logging (RIL) activities in sustainably managed forest areas in the Amazon is a costly and complex, yet crucial endeavor. One viable monitoring option is the use of airborne laser scanning (LiDAR), which enables estimating forest structure parameters over large areas in a reduced timeframe with high accuracy. In this study, we propose and assess the applicability of five monitoring indicators for RIL based on Light Detection and Ranging (LiDAR) data acquisition in areas under forest concession. Five Annual Production Units (APUs) were investigated within the Forest Management Unit (FMU) III of the Jamari National Forest, located in the Southwest of the Brazilian Amazon. These sites were surveyed by LiDAR in 2014 and 2015 (one year after the exploration). Digital Terrain Models (DTMs), Surface Models (DSMs), and Canopy Height Models (CHMs) were generated for each APU. The proposed indicators were: i. Detection and identification of crown removal in dominant and co-dominant trees above 30 m; ii. Gap detection in the forest canopy; iii. Impacts of Reduced Impact Logging on the Understory; iv. Changes in the vertical canopy profile; and v. Affected areas within Permanent Preservation Areas (PPAs) and restricted areas. There was a 3.95% reduction in the occurrence of taller canopies after RIL, and a higher occurrence of small gaps (λ > 1), with λ values (2.34) being higher in the area with the oldest logging history (APU 1). Gini coefficient values in all APUs were below 0.5, indicating a low intensity of disturbances in the forest canopy. The shape (γ) and scale (β) parameters of the understory and canopy were not significantly correlated with variables related to selective logging. Restricted areas were considered for the allocation of roads, trails, log landings, and places with slopes equal to or >15%, and the indices of areas affected by RIL in PPAs and restricted areas were <2%. The proposed indicators using LiDAR data show great potential for monitoring managed areas in the Amazon and can be utilized by concession companies and government oversight.-
Descrição: dc.descriptionNational Institute of Amazonian Research (INPA) Acre Research Nucleus, Street Dias Martins, 3868, AC-
Descrição: dc.descriptionBrazilian Agricultural Research Corporation (EMBRAPA-Acre), Rodovia BR-364, km 14, AC-
Descrição: dc.descriptionFederal University of Pará (UFPA) University Campus of Altamira, Street Cel. José Porfírio, 2515, São Sebastião, PA-
Descrição: dc.descriptionFederal University of Jequitinhonha and Mucuri Valleys (UFJM) Department of Forest Engineering, MG-
Descrição: dc.descriptionFederal University of Espirito Santo (UFES) Department of Forestry and Wood Science, Avenue Governor Lindemberg, 316, ES-
Descrição: dc.descriptionSchool of Agricultural Sciences São Paulo State University Fazenda Experimental Lageado, SP-
Descrição: dc.descriptionUniversity of Brasília Graduate Program in Applied Geosciences and Geodynamic - Institute of Geosciences-
Descrição: dc.descriptionFederal University of Acre UFAC Forest Campus Multidisciplinary Center Forest Campus Road Canela Fina, AC-
Descrição: dc.descriptionFederal University of Acre (UFAC), AC-
Descrição: dc.descriptionSão Paulo State University (Unesp) School of Agriculture-
Descrição: dc.descriptionSchool of Agricultural Sciences São Paulo State University Fazenda Experimental Lageado, SP-
Descrição: dc.descriptionSão Paulo State University (Unesp) School of Agriculture-
Idioma: dc.languageen-
Relação: dc.relationEcological Informatics-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAmazon rainforest-
Palavras-chave: dc.subjectJamari national forest-
Palavras-chave: dc.subjectLiDAR-
Palavras-chave: dc.subjectSelectively logged-
Palavras-chave: dc.subjectSustainability of forest activities-
Título: dc.titleIndicators for monitoring reduced impact logging in the Brazilian amazon derived from airborne laser scanning technology-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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