朝鲜巴兰格兰(Shorea Balangeran)体积预测模型的建立与验证伯克)在加里曼丹中部

M. Qirom
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引用次数: 3

摘要

林木蓄积量估算模型必须具有较高的精度和精度,才能准确地估算林分潜力。本文确定并验证了印尼中加里曼丹海岸生长量的估算模型。模型开发分为三个阶段,包括52棵模型进展树、23棵模型验证树和10棵外部模型验证树。计算模型采用了以直径、直径和高度以及直径和高度组合为自变量的线性和非线性模型。最佳模型的标准是通过统计分析确定的,如系数确定、相对偏差和总偏差、偏差、估计的精度和准确性,AIC(Akaike's Information criteria)。研究结果表明,以直径为单变量的模型不符合所选的最佳模型标准(聚合偏差;AD<1%,相对偏差:RD<8%)。在模型估计中增加树高使系数确定增加了6.54%,并且以直径和高度为自变量的模型满足标准(AD和RD标准)。Balangeran的最佳模型的系数确定率为89.77%。然而,最佳模型不适用于具有不同林分特征的其他地点关键词:体积、模型、Balangeran、验证、林分、树木
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Validation of Volume Prediction Model for Balangeran (Shorea balangeran (Korth.) Burck) In Central Kalimantan
Estimation model of tree volume must be high in accuracy and precisions to estimate stand potential precisely. This paper determines and validates the estimation model of Shorea balangeran volume grown in Central Kalimantan, Indonesia. There were three phases of model development which include 52 trees for model progress, 23 trees for model validation, and 10 trees for external model validation. The calculation model used linear and non-linear models with diameter, diameter and height, and diameter and height combination as independent variables. The criteria of the best model was determined by statistical analyses such as coefficient determination, relative and aggregative deviation, bias, precisions and accuracy of estimation, AIC (Akaike’s Information Criterion). The result of the study showed that the model with diameter as single variable was not complied with the selected best model criteria (aggregative deviation; AD< 1 % and relative deviation: RD< 8 %). The addition of tree height on model estimation increased the coefficient determination of 6.54% and the model with diameter and height as independent variable was satisfied with the criteria (AD and RD criteria). The best model of Balangeran was with coefficient determination of 89.77 %. However, the best model was not applicable for other sites with different stand characteristics Keywords: volume, model, Balangeran, validation, stand, tree
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