摘要
通过对前人提出的生长方程的具体分析 ,提出了一种改进的Schumacher生长方程 .该模型包含了Gompertz函数、Schumacher方程及广义Schumacher方程 ,具有很强的自适应性和实用性 .采用遗传算法 ,利用该模型对珍稀植物长苞铁杉和侧柏生长资料分别进行了拟合 .结果表明 ,改进的Schumacher方程的拟合精度明显优于Schumacher方程和广义Schumacher方程 ,也优于经典的Logistic模型和李新运等自适应模型 。
Based on the concrete analysis on growth equations presented by others, a modified Schumacher growth equation was proposed as , which included Gompertz function, Schumacher equation and generalized Schumacher equation, and had stronger self-adaptability and practicality. The analytic character and adaptability of the modified Schumacher equation were analyzed. According to the genetic algorithms method, this model was used to fit the growth data of endangered plant of Tsuga longibracteata and Platycladus orientalis. The results showed that the modified Schumacher equation was not only better than Schumacher equation and generalized Schumacher equation significantly, but also better than classical Logistic model and Li's self-adaptive model. So it could be used to study the dynamics simulation for tree growth and dynamics law for population growth.
出处
《应用生态学报》
CAS
CSCD
2004年第2期241-244,共4页
Chinese Journal of Applied Ecology
基金
中国博士后科研基金项目
福建省自然科学基金项目 (B0 110 0 2 6)
福建省科技厅重大资助项目 ( 2 0 0 1F0 0 7)
