The increase of forest products demand in the market has been motivating researches in order to generate forest multiproducts with reduced costs. The main purpose of this study was to evaluate the precision of both linear (5 degree polynomial) and nonlinear (Logistic) models to estimate the stem profile of Pinus oocarpa. The data base is from a plantation located in Triângulo Mineriro region, Minas Gerais State, where the stem diameters of 140 trees were measured. The fitted precision equations were evaluated by the following criteria: Akaike information, Bayesian Information, residual graphic analysis, standard error estimate. The Logistic model showed higher precision in estimating the tree profile.
Forest management; biometrics; taper