Clones of Eucalyptus ssp. in Araripina-PE, volumetric and height modeling and comparison between the use of DAP and CAP
Statistical Model adjustment, forest experimentation, estimates.
In Forestry Science, volumetric modeling allows the inclusion of new variables during model adjustment, with this technique has been considered effective to obtain estimates of greater precision in relation to the actual volume of the tree, however, the efficiency of the models depends on the analyzed species, the conditions in which it is found and the accuracy of the data collected. Thus, the present research aimed to adjust usual linear models to estimate the height of trees, in function of diameters obtained during rigorous cubing and their estimated height of the standing tree (He), and from the incorporation of this, make four adjustments under the models of Spurr, Spurr - nonlinear, Schumacher - Hall, and Silva - Bailey in order to identify the equation that provides more consistent volumetric estimates based on the Schlaegel Index (I.A.), in the standard error of the estimate (S_yx) and in the analysis of the graphic dispersion of the residues. For this, data from an experiment composed of three Eucalyptus clones planted in different densities in Araripina - PE were used. Thus, the best estimate for height was obtained through the equation generated as a function of He and the diameters measured at 50 cm, 150 cm and 170 cm. Furthermore, aiming to incorporate the adjusted height in the adjustment of the volumetric models, four different adjustments were made, two depending on the DAP and two depending on the CAP, in which, based on the adjustments that were made according to the DAP, the first indicated the equation generated by the Silva - Bailey model adjusted I as the most efficient, while the second adjustment presented greater precision in the estimates resulting from the equation provided by the adjusted Spurr model II. However, according to the fit selection criteria, to date, fit II provides the most suitable equation for volumetric estimates.