基于Richards方程的杉木树高生长模型  

A height growth model for Cunninghamia lanceolata based on Richards' equation

作　　者：魏晓慧[1] 孙玉军[1] 马炜[1] 

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

出　　处：《浙江农林大学学报》2012年第5期661-666,共6页Journal of Zhejiang A&F University

基　　金：国家林业公益性行业科研专项项目(200904003)

摘　　要：利用Richards生长方程构建杉木Cunninghamia lanceolata树高生长模型。以福建省三明市将乐县国有林场杉木人工林为研究对象,基于15块杉木人工林标准地野外调查数据,在分析林分相对胸径(dR)和相对树高(hR)规律的基础上,拟合了胸径-树高曲线、胸径-株数累积(%)曲线以及树高-株数累积(%)曲线。根据林分结构现状,应用SPSS 20统计软件模拟了杉木树高生长模型。结果表明:在95%置信区间内,模型的相关指数达到了0.993,求得参数A=28.606,B=1.094,k=0.031,m=-0.466,且各参数的估计值符合杉木的生长规律。此模型大大提高了林木树高因子的模拟精度,并为实现森林资源的优化配置提供基础数据。To establish a height growth model for Chinese fir （Cunninghamia lanceolata） on a Chinese fir plan- tation in Fujian Province at the Sanming City＇s Jiangle State-owned Forest Farm using Richards＇ equation, field survey data from 15 sample plots were used to simulate the tree diameter-tree height curve, the tree di- ameter-cumulative tree number （%） curve, and the tree height-cumulative tree number curve （%）. Then data were analyzed with distributive rules for stand relative diameter （dR） and relative height （hR） using statistical software SPSS 20 for P = 0.95. Results for present stand structure were r = 0.993 with parameters A = 28.606, B = 1.094, k = 0.031, and m = -0.466. These parameters＇ estimated values were fit to the Chinese fir growth rhythm. Richards＇ growth equation could greatly improve forest survey indicators for tree height simulation and could provide basic data to help achieve optima! allocation of forest resources. [Ch, 3 fig. 3 tab. 30 ref.]

关 键 词：森林测计学 胸径 树高 Richards生长方程 杉木 

分 类 号：S758.1[农业科学—森林经理学]