首页> 外文期刊>Forest Systems >New models to predict of the increment in volume for mixed forests in the State of Durango, Mexico. [Spanish]Original Title Nuevos modelos de prediccion del incremento en volumen para bosques mezclados del Estado de Durango, Mexico.
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New models to predict of the increment in volume for mixed forests in the State of Durango, Mexico. [Spanish]Original Title Nuevos modelos de prediccion del incremento en volumen para bosques mezclados del Estado de Durango, Mexico.

机译:预测墨西哥杜兰戈州混交林数量增加的新模型。 [西班牙文]原标题墨西哥杜兰戈州混合森林蓄积量增长的新预测模型。

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摘要

Thirty models were evaluated to predict the timber yield in 28 Permanent Silvicultural Research Plots (SPIS), in the Ejido Pueblo, Durango, Mexico. The most predominant plant association is the corresponding to mixed stands of Pinus and Pinus-Quercus, besides the vegetation associated to these forests. The models in their logarithmic form incorporate 10 competition indexes (IC) independent of the distance, 3 indexes of density (ID), besides the variable age and height at the average level of the stand. The new mathematical models relate in an indirect way the effect of the competition and the density in the growth of trees present in the stand. According to the variance analyses and the hypothesis tests, it was found that the best IC incorporated in a mathematical model for the prediction of the increment in volume was the competition index of area basal density (IABN), the competition index of diameter quadratic density (IDCN), the competition index of area basal total density (IABTN) and the competition index of maximum total height (IHMAX). The best models present a high level of accuracy with Prob > t =0.0001 and values average of 0.99 in R2. The best models presented average values of R2=0.99 and a highly significant level of accuracy (Pr > t =0.0001).
机译:在墨西哥杜兰戈Ejido Pueblo的28个永久造林研究区(SPIS)中,评估了30种模型以预测木材产量。除与这些森林相关的植被外,最主要的植物协会是与 Pinus 和 Pinus-Quercus 的混交林对应。这些模型以对数形式包含10个独立于距离的竞争指数(IC),3个密度(ID)指数,以及摊位平均水平上可变的年龄和高度。新的数学模型间接地涉及到竞争的影响以及林分中树木生长的密度。根据方差分析和假设检验,发现在数学模型中用于预测体积增加的最佳IC是面积基础密度(IABN)的竞争指数,直径平方密度的竞争指数(IABN)。 IDCN),区域基础总密度竞争指数(IABTN)和最大总高度竞争指数(IHMAX)。最好的模型具有很高的准确性,Prob> t = 0.0001,并且 R 2 的平均值为0.99。最好的模型呈现出 R 2 = 0.99的平均值和极高的准确度水平( Pr

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