长白落叶松树冠体积和表面积模型  

Predictive Models of Crown Volume and Crown Surface Area for Korean Larch

作　　者：吴明钦 孙玉军[1] 郭孝玉[1] 蔡兆炜[1] 郭韦韦[1] 

机构地区：[1]省部共建森林培育与保护教育部重点实验室(北京林业大学),北京100083

出　　处：《东北林业大学学报》2014年第5期1-5,共5页Journal of Northeast Forestry University

基　　金：国家林业局重点项目(2012-07);林业公益性行业科研专项经费(200904003-1)

摘　　要：以长白落叶松(Larix olgensis)为研究对象,建立单木全树冠最大体积、平均体积、最大表面积、平均表面积预估方程。结果表明:树冠体积和表面积与胸径、树高、冠长、冠幅均显著相关,胸径对树冠体积和表面积的解释力最大,增加树高变量不能增加预估方程的拟合精度,增加冠长和冠幅作为变量能够提高模型的拟合精度。模型检验结果表明,以胸径、冠长和冠幅为变量的模型为最优模型,其中对树冠表面积的拟合优于对树冠体积的拟合,所选择的最优模型估测精度均高于85.4%,能较好地预估长白落叶松的树冠体积和表面积。Forecast models of crown max-volume, crown average-volume, crown max-surface area, crown average-surface area were built with Larix olgensis Henry. The crown volume and crown surface area have significant relationships with diameter at breast height, tree height, crown length, and crown weight. Diameter at breast height is the most importamt factor on crown volume and crown surface. The increase of crown length and crown weight as variables can improve the fitting precision of models, while the increase of tree height cannot. The optimal model is with breast height, crown length and crown weight as variables. The models of crown surface area are better in fitting than that of crown volume. The estimated precisions of the optimal models are greater than 85.4%.

关 键 词：长白落叶松 树冠表面积 树冠体积 

分 类 号：S758.1[农业科学—森林经理学]