UNCERTAINTY ASSESSMENT IN VOLUME AND BIOMASS ESTIMATIONS IN FOREST STANDS

We aimed to assess the uncertainty associated with sampling and the regression model in volume and biomass estimates in Acacia mearnsii stands in Brazil. To jointly assess those two sources of uncertainty, the hybrid estimator analytical approaches has been used. Our results showed that if we do not consider the uncertainty due to the model in the volume estimate we will be underestimating 6.51% of the total uncertainty. In the biomass estimates we will underestimate 18.74% of the total uncertainty. Ignoring uncertainties in total estimates can lead to uninformed decisions in forest management, with economic implications, particularly in biomass estimates, where the associated variation is even greater than in volume due to the nature of this variable.