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Forests 2017, 8(12), 465; https://doi.org/10.3390/f8120465

A Dynamic System of Growth and Yield Equations for Pinus patula

1
Instituto de Estudios Ambientales-División de Estudios de Postgrado-Ingeniería Forestal, Universidad de la Sierra Juárez, Avenida Universidad s/n, 68725 Ixtlán de Juárez, Oaxaca, Mexico
2
Centro de Investigación Regional Norte Centro, Campo Experimental Valle del Guadiana, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Carretera Durango-Mezquital Km 4.5, 34170 Durango, Durango, Mexico
3
División de Estudios de Posgrado e Investigación-Instituto Tecnológico del Valle de Oaxaca, Ex Hacienda de Nazareno s/n, 71230 Xoxocotlán, Oaxaca, Mexico
4
Dirección Técnica Forestal de la Comunidad de Ixtlán de Juárez, Oaxaca, Carretera Oaxaca-Tuxtepec s/n, 68725 Ixtlán de Juárez, Oaxaca, Mexico
5
Centro de Investigación Regional Golfo Centro, Campo Experimental San Martinito, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Carretera Federal Mexico-Puebla Km 56.5, 74100 Santa Rita Tlahuapan, Puebla, Mexico
*
Author to whom correspondence should be addressed.
Received: 1 October 2017 / Revised: 22 November 2017 / Accepted: 23 November 2017 / Published: 28 November 2017
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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. View Full-Text
Keywords: forest management; forest monitoring; modeling resource assessment; stand level models forest management; forest monitoring; modeling resource assessment; stand level models
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Santiago-García, W.; Pérez-López, E.; Quiñonez-Barraza, G.; Rodríguez-Ortiz, G.; Santiago-García, E.; Ruiz-Aquino, F.; Tamarit-Urias, J.C. A Dynamic System of Growth and Yield Equations for Pinus patula. Forests 2017, 8, 465.

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