Autoria: QUEIROZ, A. M. de; OLIVEIRA, M. V. N. d'; OLIVEIRA, L. C. de; FIGUEIREDO, E. O.

Resumo: Monitoring forest operations on logged areas is essential to identify the impacts caused to the residual. Light Detection and Ranging (LiDAR) has proven an effective tool to the quantification of the structural parameters and biomass loss on tropical forests. The objective of this study was through the use of repeated LiDAR flights to elaborate a regression model to estimate the biomass of the logged trees and to assess the biomass losses produced by tree cutting and logs extraction in a forest management area. The study was carried out in an annual production area in the Antimary state forest in Acre State, western Amazon. The results demonstrated that: i. the use of crown projection area as independent variable was sufficient to produce a robust model to estimate the biomass of individual trees; ii. the number of trees extracted alone did not explained the biomass loss in the plots and iii. there was a strong relationship between the total biomass loss estimated by the subtraction of the biomass before and after logging and the biomass of the extracted trees. We suggest that this relationship should be used as a quality indicator of the applied forest management techniques.

Ano de publicação: 2017

Tipo de publicação: Artigo em anais e proceedings

Unidade: Embrapa Acre

Palavras-chave: Acre, Amazonia Occidental, Amazônia Ocidental, Análise estatística, Análisis de regresión, Análisis estadístico, Biomasa, Biomass, Biomassa, Bujari (AC), Desechos, Estimativa, Exploração florestal, Explotación forestal, Extração da madeira, Floresta Estadual do Antimary (AC), Geotécnica, Lidar, Logging, Lásers, Manejo florestal, Perda, Raio laser, Regression analysis, Regressão linear, Remote sensing, Sena Madureira (AC), Sensoriamento remoto, Statistical analysis, Teledetección, Wastes, Western Amazon