JAMARI NATIONAL FOREST ABOVEGROUND BIOMASS DYNAMICS MONITORING THROUGH REPEATED LIDAR SURVEYS

The study was carried out in the Flona Jamari, to assess the effect of logging in the annual production units (UPA), through repeated LiDAR flights to answer how logging impacted the forest and how forest recovered in the first twelve ten years after logging. Aboveground (AGB) was estimate through a LiDAR regression model adjusted with the permanent sample plots established in the UPA. The main results were: i. the LiDAR AGB regression model produced to the study area presented a proportion of explained variance (R²_adj=0.7) and low RMSE (40.6); ii. Logging produced a significant reduction of mean AGB in the UPA from 214.9 ± 56.8 Mg. ha^-1 to 192.4 ± 51. 0 Mg. ha^-1 (22.5 Mg. ha^-1); iii. five years after logging AGB was still significantly below the observed in the UPA before logging (209.2 ± 56.8 Mg. ha^-1), but significantly higher than the observed one year after logging.