Modeling taper and volume of Sal (Shorea robusta Gaertn. f.) trees in the western Terai region of Nepal

R. Silwal, S. Baral, Bir Bahadur Khanal Chhetri
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引用次数: 6

Abstract

Volume and taper equations are used for estimating timber volume and biomass of a tree. Despite their usefulness, precise and site specific equations are still lacking for commercially important tree species in Nepal. The study was carried out at Chandak Chatiya Mahila Community Forest in Bardia district and Lumbini Collaborative Forest of Saljhandi in Rupandehi district in western Terai of Nepal. A destructive sampling method was used and selected fifteen Sal trees (Shorea robusta Gaertn. f.) from Saljhandi (site 1) and eighteen trees from Bagnaha (site 2) randomly to calibrate an individual tree volume and a stem taper function. At first, a non-linear stem taper function was calibrated using stem diameters outside bark at different heights above ground as response variable and D (diameter at breast height), H (total height), h (height of interest) as predictors. Then, effect of crown characteristics on stem taper was evaluated. As stem HCB (height to crown base) was found to affect stem taper, its usefulness in existing stem volume equation was tested. Empirical relationships between V (stem volume) as a response variable and D, H, HCB and sites in Bardia and Rupandehi districts as predictors were established using a linear mixed modeling approach. Our result showed that, instead of H, use of HCB in stem volume equation increased model prediction accuracy and reduced prediction bias. Applicability of the suggested models for predicting individual S. robusta tree volume and stem taper is discussed. Banko JanakariA Journal of Forestry Information for Nepal Special Issue No. 4, 2018, Page: 76-83
尼泊尔特莱西部地区Sal(Shorea robusta Gaertn.f.)树的锥度和体积建模
体积和锥度方程用于估计树木的木材体积和生物量。尽管它们很有用,但尼泊尔商业上重要的树种仍然缺乏精确的、针对具体地点的方程。这项研究是在尼泊尔特莱西部Bardia区的Chandak Chatiya Mahila社区森林和Rupandhi区的Saljhandi蓝比尼合作森林进行的。使用破坏性抽样方法,从Saljhandi(1号场地)随机选择15棵Sal树(Shorea robusta Gaertn.f.),从Bagnaha(2号场地)中随机选择18棵树,以校准单个树木的体积和树干锥度函数。首先,使用地面以上不同高度树皮外的茎直径作为响应变量,并使用D(乳高处的直径)、H(总高度)、H(感兴趣的高度)作为预测因子,来校准非线性茎锥函数。然后,评价了冠部特性对茎尖锥度的影响。由于发现茎尖HCB(到冠基的高度)会影响茎尖锥度,因此测试了其在现有茎尖体积方程中的有用性。使用线性混合建模方法建立了作为响应变量的V(树干体积)与作为预测因子的D、H、HCB和Bardia和Rupandehi地区的站点之间的经验关系。我们的结果表明,在树干体积方程中使用HCB代替H,提高了模型预测精度,减少了预测偏差。讨论了所提出的模型在预测罗布斯塔个体树体积和树干锥度方面的适用性。Banko JanakariA《尼泊尔林业信息杂志》2018年第4期,第76-83页
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