应用典范相关的多元统计方法,研究了柏木生长性状与环境因子两组多元变量之间的关系。结果表明,第一典范变量和第二典范变量以林分密度和林龄两个变量对树高、胸径和生物量的关系最密切;在第三典范变量上,土层厚度和坡向对树高、胸径和生物量之间存在相关关系。根据第一典范变量环境因子和生物因子的得分值进行排序描出聚点图,将柏木林分生产力划分为3个类型,并对各类型的生产力水平和环境特征进行了讨论。 By using the multivariate statistical method, the relationship between the growth traits and environmental factors in the two groups of multivariate variables was studied. The results showed that the first and second canonical variables were most closely related to tree height, DBH and biomass with stand density and stand age. In the third canonical model, There is a correlation between height, DBH and biomass. According to the scoring values ​​of environmental factors and biological factors of the first canonical variable, the polygamy map was sorted and sorted into three types according to the scores of productivity and environmental characteristics of each type of forest.