摘要
利用森林资源连续清查固定样地中的复位样木生长量测定数据,以材积生长率Pv为因变量,年龄T和胸径D为辅助变量,选择Pv=aTbDc为基本模型,采用逐步回归技术建立可变参数的材积生长率模型,并用改进单纯形法优化参数。结果表明:材积生长率表在理论值与实际值差异不显著,且误差小,精度高,在林业生产实践中有应用价值。
The increment data were determined with reducible trees of regular sample of forest resources continuous survey, the vol- ume increment rate (Pv) was used for variable parameter, the age (T) and :he diameter at breast height (D) were used for assistant parameters, and Pv = αT^bD^c was selected for basic model. The variable parameter volume increment rate model was built with progressive regression equation method, and the parameter was optimized with an improved simple method. The results showed that the volume increment rate table was not significant difference between the theory and practice with less error and high precision. Therefore the table could be applied in forestry productive practice.
出处
《福建林业科技》
北大核心
2006年第3期56-59,共4页
Journal of Fujian Forestry Science and Technology
关键词
杉木
生长率表
模型
Cunninghamia lanceolata
increment rate table
model