Allometric equations to estimate aboveground and belowground biomass of Pinus patula Schiede ex Schltdl. & Cham

Abstract

The estimation of tree biomass serves as a parameter of forest productivity; in addition, it is a method to estimate carbon fixation and storage. Studies on total biomass that include the belowground component for the Pinus genus are scarce in Mexico due to the difficulty and high costs for its quantification. In this study, allometric models were fitted to estimate the total biomass of Pinus patula Schiede ex Schltdl. & Cham., from the pine-oak forest of Ixtl an de Ju arez, Oaxaca, for which a destructive analysis was made of 25 trees distributed in five diameter classes, classifying the biomass by components (root, stem, branches and foliage). With the component biomass data, different models were fitted by nonlinear regression techniques, using the diameter at breast height (D, cm) and the total height (TH, m) as independent variables. The model with the best fit was an exponential type y ¼ e ðÀb 0 þb 1 ln ðDÂTHÞÞ : In this study, it was observed that the studied species stores 22.62% of the biomass in the root, 69.61% in the stem, 5.67% in the branches and 2.11%, in the foliage. The models proposed in this study allow the estimation of total biomass and by structural component independently and additively. Its use is recommended in trees of P. patula, in the range of 5 to 25 cm of diameter at breast height, in forests with similar growing conditions.

Analysis of Longitudinal Forest Data on Individual-Tree and Whole-Stand Attributes Using a Stochastic Differential Equation Model

“…Tables 3 and 4 show that the individual-tree predictions of the potentially available area have low statistical measures, but the whole-stand predictions of the potentially available area show significantly better statistical measures. The stochastic differential equation kinetic model developed in this study appears to allow a more accurate prediction of tree or stand diameter and height growth than previous models [25][26][27]. The relationship between the potentially available area of individual trees and the tree size variables is critical for scaling up individual-tree effects to whole-stand phenomena.…”