用分位数回归建立的混交林树高生长模型  

Tree Height Growth Model of Mixed Forest Using Quantile Regression

作　　者：赵梦草 顾海燕[1] Zhao Mengcao;Gu Haiyan(Northeast Forestry University,Harbin 150040,P.R.China)

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《东北林业大学学报》2020年第2期24-28,53,共6页Journal of Northeast Forestry University

基　　金：国家级大学生创新创业训练计划项目(201810225095)。

摘　　要：依据黑龙江省大兴安岭地区落叶松白桦混交林的树高、胸径、活枝高以及树冠的东、南、西、北冠幅数据,利用最小二乘法建立了两树种树高与胸径、树高与活枝高之间的数学模型,并利用线性分位数回归方法建立了不同分位点(τ=0.10、0.25、0.50、0.75、0.90)两树种树高与胸径、树高与活枝高之间的数学模型,分析τ∈(0,1)间距相同的19个分位数点的两树种树高与胸径、树高与活枝高之间的数学模型,得出不同分位数点处胸径、活枝高与树高之间的关系,比较了对照组与间伐组数据所建立模型的差异。With the data of H,DBH,LBH and the east,south,west and north of the canopy in the Daxing’an Mountains of Heilongjiang Province,we established a mathematical model between the tree height(H)and the diameter at breast heigh(DBH),the H and the live high branch(LBH)using the least squares method,and used linear quantile regression method in different quartile points(τ=0.10,0.25,0.50,0.75,and 0.90)between H and DBH,and H and LBH of the two tree species,analyzied the mathematical model using H and DBH,and H and the LBH of two tree species at 19 quartile points with the same spacing inτ∈(0,1),obtained the effect of the DBH and the LBH on the H,and compared the differences between the models in the control groups and thinning groups.

关 键 词：混交林 树高 分位数回归 最小二乘法 

分 类 号：S758.5[农业科学—森林经理学]