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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。
Using forest resources to continuously check the data of resetting wood samples in fixed plots, taking the volume growth rate Pv as the dependent variable, the age T and the DBH as auxiliary variables, we choose Pv = aTbDc as the basic model and establish step by step regression Variable parameter volume growth rate model, and improve the simplex method to optimize the parameters. The results show that the volume growth rate table has no significant difference between the theoretical value and the actual value, and the error is small and the precision is high. It has the application value in the forestry production practice.