FORM FACTORS AND VOLUME MODELS FOR ESTIMATING TREE BOLE VOLUME OF MAHOGANY AT COMMUNITY FORESTS IN CENTRAL JAVA

T. Tiryana, L. Khasanah., P. Priyanto, S. Rahaju, M. Muhdin
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引用次数: 1

Abstract

Form factors and volume models are often be used in the estimation of tree volumes. However, a few studies have developed and evaluated the accuracy of form factors and volume models for estimating tree volumes of community forests. This study aimed to formulate form factors and volume models and assess their prediction accuracy for estimating tree bole volumes of mahogany at community forests in Central Java. This study used 120 sample trees with diameters of 6–38 cm to formulate artificial and absolute form factors and to develop tree bole volume models. These form factors coupled with bole height and total height were used in simple volume equations. Regression analyses were used to develop volume models using the diameter and total height as predictors. The simple volume equations and volume models' prediction accuracy was evaluated using a cross-validation dataset and independent dataset (30 sample trees). The artificial form factor (0.68 ± 0.11) of mahogany, which was higher than the absolute form factor (0.46 ± 0.09), provided accurate estimates of tree bole volumes when it was used with the bole height instead of the total height. The volume model that uses diameter and total height produced the most accurate estimates, while the volume model that uses diameter alone provided the most practical yet reliable tool for estimating tree bole volumes of mahogany. The results of this study are useful for improving community forest management.
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爪哇中部群落林桃花心木树干体积的形状因子和体积模型
形状因子和体积模型常用于估算树木的体积。然而,一些研究已经开发并评价了用于估算社区森林树木体积的形状因子和体积模型的准确性。本研究旨在建立中爪哇社区森林红木树孔体积的形状因子和体积模型,并评估其预测精度。本研究以120棵直径为6 ~ 38 cm的采油树为样本,建立了人工和绝对外形因子,并建立了树孔体积模型。这些形状因素与孔高和总高度相结合,用于简单的体积方程。采用回归分析建立了以直径和总高度为预测因子的体积模型。使用交叉验证数据集和独立数据集(30棵样本树)评估简单体积方程和体积模型的预测精度。红木的人工形状因子(0.68±0.11)高于绝对形状因子(0.46±0.09),当与井眼高度而不是总高度一起使用时,可以准确估计树孔体积。使用直径和总高度的体积模型给出了最准确的估算,而仅使用直径的体积模型为估算红木树孔体积提供了最实用、最可靠的工具。研究结果对改善社区森林管理具有一定的参考价值。
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CiteScore
1.50
自引率
25.00%
发文量
18
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