Modelling individual tree basal area growth of Blue pine (Pinus wallichiana) for Mustang district in Nepal
Modelling individual tree basal area growth of Blue pine (Pinus wallichiana) for Mustang district in Nepal
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尼泊尔木斯塘地区蓝松 (Pinus wallichiana) 单树断面积生长建模
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
R. Sharma
中科院分区：
文献类型：
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作者：
B. H. Wagle;R. Sharma
单木生长模型是森林经营的重要决策工具。我们开发了单木断面积生长模型与蓝松（Pinus wallichiana）数据从尼泊尔木斯塘区的Lete和Kunjo地区。从所有适用的年龄，大小，网站质量，和立场的条件，并切断样本树。在距地面30 cm处的树桩切面上测量直径和年龄。应用自回归误差结构建模方法，以断面积年生长量为因变量，以伐根年龄或伐根直径为自变量，对94个立木的数据进行Bertalanffy函数拟合。与年龄无关的单木断面积生长模型的拟合度（R2 adj = 0.8324）优于与年龄相关的模型（R2 adj = 0.8174）。由于具有更好的拟合和更容易的应用，年龄无关的模型被推荐用于预测木斯塘地区的Lete和Kunjo地区的蓝松在单木水平上的断面积年生长。
Individual tree growth models are important decision-making tools for forest management. We developed individual tree basal area growth models with Blue pine (Pinus wallichiana) data from Lete and Kunjo areas of Mustang district in Nepal. The sample trees were identified from all applicable ages, sizes, site qualities, and stand conditions and were cut. Diameters and ages were measured on the cut surface of stump (at 30 cm above ground). With the application of the auto-regressive error-structured modelling approach, we fitted Bertalanffy function to the data from 94 stumps by using basal area growth per year as dependent variable and stump age or stump diameter as independent variable. The age-independent individual tree basal area growth model showed better fits (R 2 adj = 0.8324) than its age-dependent counterpart (R 2 adj = 0.8174). Because of having better fits and being easier for application, the age-independent model is recommended for predicting basal area growth per year at an individual tree level for Blue pine across Lete and Kunjo areas of Mustang district.