摘 要 ：基于樟子松(Pinus sylvestris var. mongolica)人工林6块固定标准地30株枝解析数据，在分析树冠表面积和树冠体积与林分变量和林木变量的基础上，利用幂函数建立了树冠表面积（CSA）和树冠体积(CV)的预估模型，同时还对林木材积生长量与CSA和CV进行了相关分析。研究结果表明：樟子松人工林树冠表面积和树冠体积随着林木胸径、树高和冠长的增大而增大，林木材积生长量与树冠表面积和树冠体积均明显呈线性关系。不同林分条件的樟子松人工林CSA和CV随林分年龄和胸径的增大而增大，CSA随林分密度的增大而减小，而CV与林分密度相关不紧密。林分树冠表面积和树冠体积预估模型的检验结果表明，两个模型的平均相对误差都在±8%之内，预估精度均大于91%，说明所建模型可以很好地预估樟子松人工林不同林分条件下的林木树冠表面积和树冠体积。
Abstract:Based on the branch analysis data of 30 sample trees from 6 permanent plots in Mongolian pine (Pinus Sylvestris var. mongolica) plantation, the predicting models of crown surface area and crown volume were developed according to power function as base model by analyzing the relationship between crown surface area and crown volume with stand and tree variables. Also, the correlation between volume increment with crown surface area and crown volume were analyzed. The result showed that crown surface area and crown volume are increasing with DBH, total height, and crown length and the volume increment of tree is significantly linear correlated with crown surface area and crown volume for Mongolian pine plantation. For different stand conditions, crown surface area and crown volume were increased with stand age and DBH. The crown surface area was decreased with stand density and the relationship between crown volume and stand density was not significant. The predicting models of crown surface area and crown volume developed in this paper were evaluated. The test results indicated that relative mean errors in predicted stand attributes were less than ±8% and the estimated precisions of the stand variables were all greater than 91% for each model. Therefore, the models developed in this paper are suitable for estimating the crown surface area and crown volume under different stand conditions for Mongolian pine plantation.