Ajuste de funções de afilamento para espécies florestais comerciais do bioma amazônico matogrossense

Abstract

The aim of this work was to adjust, evaluate and select taper functions for five species commercially exploited in the Amazon forest of Mato Grosso. The study was conducted in forest management units in areas of the Amazon Forest, located in Santa Carmen, state of Mato Grosso. To adjust the taper functions were rigorously scaled 449 trees of five forest species. Goupia glabra, Qualea albiflora; Trattinnickia burseraefolia; Erisma uncinatam and Mezilaurus itauba. Adjusted models were not segmented of Kozak, Fifth Grade, Hradetzky and Demaerschalk adapted the model and segmented Max & Burkhart. To evaluate the accuracy of the adjustments was used determination coefficient, standard error of estimate in percentage and graphical analysis of the waste, beyond the calculation of auxiliary statistics: deviation, standard deviation of differences, sum of squared residuals and relative percent residue. The model fitting is not segmented Demaerschalk are adapted to more accurate estimates of the diameters and volumes for five tree species studied in the Amazon region of Mato Grosso. The settings for the segmented model of Max & Burkhart are the least accurate estimates for the diameters and volumes for the species Goupia glabra, Trattinnickia burseraefolia e Mezilaurus itauba and for all these, while the template presents the lowest Kozak accuracy for the species Erisma uncinatam and Mezilaurus itauba. The adjustments are more satisfactory class diameter compared with the absence of the control class, while the larger bias in the estimation of the diameter and volume occurs in the upper portion of the stem.