Exploring nonlinear models for predicting Diameter-Height and Diameter-Volume relationships in Shorea robusta trees: A study in the forests of Putalaibazar Municipality, Syangja

Sagar Budhathoki, Sanchita Budhathoki, Lochana Adhikari, Sahayog Chhetri, Padam Prakash Jaishi
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Abstract

This study aims to determine the most suitable models among a set of five candidate models to describe the relationships between diameter height and diameter volume for individual Shorea robusta trees within the forests of Putalaibazar Municipality, Syangja. The methodology involved measuring the diameter at breast height and total height of 137 individual trees and calculating their respective volumes. The normality of these variables was assessed by a non-parametric Kolmogorov-Smirnov test (p ≤ 0.05), which revealed non -normality and only five nonlinear models were employed to fit the height-diameter and volume-diameter relationship by a transformation of variables. The study estimated model parameters, including intercepts and regression coefficients, and assessed model performance using fit statistics such as the adjusted coefficient of determination (adj. R²) and root mean square error (RMSE). Statistical significance of parameters was determined through parametric t-tests for regression parameters, with all parameters found to be statistically significant (p ≤ 0.05). The selection of the best-fitting model was based on models exhibiting the highest adjusted coefficient of determination, lowest root mean square error, and lowest Akaike Information Criterion (AIC) value. Visual assessments, including histogram analyses, normal probability plot curves, and scattered plot diagrams, were also employed. Among the models tested, the Wykoff model (H(Height, m)=Bh(Breast Height, m)+exp(3.19+(-9.203)/(D+1)), where D represents diameter at breast height in cm, demonstrated superior performance for characterizing the Diameter-Height relationship. For the Diameter-Total Volume relationship, the model V = (-0.049) + 0.001 * D² proved to be optimal. These selected models are recommended for predicting the height and volume of individual Shorea robusta trees. It is essential to note that these models are explicitly site-specific and should be applied exclusively to sites, sizes, and stand conditions congruent with those examined in this study.
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探索用于预测 Shorea robusta 树的直径-高度和直径-体积关系的非线性模型:对锡扬贾省普塔拉巴扎尔市森林的研究
本研究旨在从一组五个候选模型中确定最合适的模型,以描述锡扬贾市普塔拉巴扎市森林中单株 Shorea robusta 树的直径高度和直径体积之间的关系。该方法包括测量 137 棵树木的胸径和总高,并计算其各自的体积。通过非参数 Kolmogorov-Smirnov 检验(p ≤ 0.05)对这些变量的正态性进行了评估,结果显示这些变量不符合正态性,因此只采用了五个非线性模型,通过变量的转换来拟合高度-直径和体积-直径之间的关系。研究估算了模型参数,包括截距和回归系数,并使用调整决定系数(adj. R²)和均方根误差(RMSE)等拟合统计量评估了模型性能。通过对回归参数进行参数 t 检验来确定参数的统计意义,发现所有参数都具有统计意义(p ≤ 0.05)。选择最佳拟合模型的依据是模型的调整决定系数最大、均方根误差最小、阿凯克信息准则(AIC)值最低。此外,还采用了直观评估,包括直方图分析、正态概率图曲线和散点图。在测试的模型中,Wykoff 模型(H(高度,米)=Bh(胸高,米)+exp(3.19+(-9.203)/(D+1))(其中 D 代表胸高直径,单位为厘米)在描述直径-高度关系方面表现优异。对于直径-总体积关系,模型 V = (-0.049) + 0.001 * D² 被证明是最佳的。建议使用这些选定的模型来预测单棵 Shorea robusta 树的高度和体积。必须注意的是,这些模型明显是针对特定地点的,应仅用于与本研究中考察的地点、大小和林分条件一致的地点。
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