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Comparison of Volumes Estimated from Breast Height and Stump Diameters: Application to Tectona grandis Data
Forest Science ( IF 1.4 ) Pub Date : 2020-06-16 , DOI: 10.1093/forsci/fxaa015
Onyekachi Chukwu 1 , Friday N Ogana 2 , Juliet U Nwatu 2
Affiliation  

Abstract
Models estimating tree volume from stump diameter are important forest-management tools when volume estimation is needed postharvest, and dbh values are unavailable, for example the incidence of timber trespass. However, the use of stump diameter as the only independent variable for predicting tree volume has been limited. Therefore, in this article, stump diameter was used to estimate stem volume of Tectona grandis Linn. f, and this was compared with volume estimated from diameter at breast height. Five functions were considered each for the two stem diameters: simple linear, semilogarithmic, zero-intercept, power, and growth. Model assessment was based on least values of the root mean square error and Akaike information criterion. The results showed that the growth model had the best overall performance for both sets of volume models. A paired-sample t-test was used to compare volume estimated by stump diameter and volume estimated by diameter at breast height at 5 percent significance level. The results showed that there were no significant differences (P = .087) between timber volumes estimated from both stem diameters. Therefore, both diameters can be used interchangeably for modeling tree volume.


中文翻译:

从乳房高度和树桩直径估计的体积比较:在Tectona grandis数据中的应用

摘要
当需要在采伐后进行体积估计且无法获得dbh值(例如木材侵入的发生率)时,根据树桩直径估计树木体积的模型是重要的森林管理工具。但是,将树桩直径用作预测树木体积的唯一独立变量受到了限制。因此,在本文中,将树桩直径用于估算大果蜜的茎体积林恩 f,并将其与根据乳房高度处的直径估计的体积进行比较。对于两个茎直径,分别考虑了五个功能:简单线性,半对数,零截距,幂和生长。模型评估基于均方根误差和Akaike信息准则的最小值。结果表明,增长模型对于两组体积模型都具有最佳的总体性能。配对样本t检验用于比较在显着水平为5%的情况下通过树桩直径估算的体积和通过乳房高度处的直径估算的体积。结果表明没有显着差异(P= 0.087)之间的差异是根据两个茎部直径估计的。因此,两个直径可以互换用于建模树体积。
更新日期:2020-10-05
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