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对油松针叶的年龄结构、针叶量在树冠各轮枝中的分布、针叶叶量与树高、材积生长量的关系,以及修枝对针叶叶量和油松生长量的影响进行了研究,同时应用逐步回归分析方法,在树高、胸径、地径、树龄、冠幅、冠长、冠高比、轮枝数、松枝数、松枝总长度、树高生长量等11个因子中,筛选出与油松针叶叶量关系较密切的树高、胸径、冠幅、冠长、冠高比、松枝数、松枝总长度等7个因子,求出了估测油松针叶叶量的最优回归估测模型,并在林间对此模型进行了估测检验。
The age structure of Pinus tabulaeformis, the distribution of needle in each branch of crown, the relationship between the number of needles and the height of tree, the volume of growth and the effect of pruning on the quantity of needles and the growth of Pinus tabulaeformis The results showed that there were 11 factors (tree height, diameter at breast height, diameter, age, crown width, crown length, crown height ratio, number of branches, number of branch branches, total length of pine branch and height of tree height) , Seven factors such as tree height, DBH, crown length, crown length, crown height ratio, number of pine branches and total length of pine branch, which were closely related to Pinus tabulaeformis was screened out. The optimal regression estimation model, and in the forest between the model was tested.