Abstract
Sustainable forest management needs tools that can predict how silvicultural treatments will affect cutting stands. Growth and yield systems are an example of these tools because they can represent periods of growth and yield of a stand in numerical terms. The aim of this research was to develop a dynamic growth and yield timber system with the stand-level models approach for Pinus patula in even-aged forests of Ixtlán de Juárez, Oaxaca, Mexico. The data was obtained from two consecutive remeasurements of 66 permanent 400 m2 plots. With this information, prediction and projection equations in the algebraic difference approach for mean diameter at breast height (DBH), basal area and total volume per hectare were fitted through the seemingly unrelated regression technique. Mortality was fitted by the non-linear least squares method. A model of dominant height and site index (Levakovic II) with polymorphism was related to basal area, DBH, total volume ha−1 and mortality equations. The growth system generated an average optimal age rotation of 32 years when the current annual increment (CAI) was the same as the mean annual increment (MAI) for the mean site index and a density of 1500 trees ha−1 at five years. The growth and yield system developed is an important tool for planning forest management of even-aged P. patula forests.
Highlights
Pinus patula Schiede ex Schlechtendal & Chamisso, an endemic species of Mexico, is distributed in Mexico City and the states of Chiapas, Mexico, Hidalgo, Morelos, Oaxaca, Puebla, Querétaro, Tamaulipas, Tlaxcala and Veracruz [1]
In this study we considered the expression polymorphic of Levakovic II fitted by Pérez-López [22], considering 40 years as base age and its corresponding equation to estimate the dominant height:
The system of growth and explicit yield equations obtained is a reliable tool for dynamic modeling Pinus patula productive potential in accord with management, density and site quality
Summary
Pinus patula Schiede ex Schlechtendal & Chamisso, an endemic species of Mexico, is distributed in Mexico City and the states of Chiapas, Mexico, Hidalgo, Morelos, Oaxaca, Puebla, Querétaro, Tamaulipas, Tlaxcala and Veracruz [1]. Forests 2017, 8, 465 to incorporate biometric tools to determine the growth of this species to develop suitable forest management programs and to identify and consider various factors simultaneously in space and time. In this way, decision-making in planning forest management activities is facilitated, for example, levels of timber production and other goods, as well as those silvicultural treatments that allow the maintenance of desirable conditions in stands and in the forest in general [3]. This dynamics is reflected in the changes in magnitude of stand variables such as dominant height (DH), average tree diameter, basal area, number of trees ha−1 and volume [5]
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