摘要
提出自适应种群增长新模型S =exp(αln2 ( 1+ce-rt) +βln( 1+ce-et) +γ) ,该模型包融了Logistic模型、Smith模型、Gompertz模型、崔 Lawson模型、张 Logistic模型和刘 Logistic模型 .运用遗传算法对自适应新模型进行参数估计 ,拟合青钩栲种群增长规律比其它种群增长模型更符合青钩栲种群增长的实际增长趋势 。
In this paper,a new self adaptive model for population growth,i.e. S= exp (α ln 2(1+ce -rt )+β ln (1+ce -rt )+γ) was established,which combined Logistic,Smith,Gompertz,Cui Lawson,Zhang Logistic and Liu Logistic models.Estimations with genetic algorithm showed that the new model was more suitable than other models to simulate the actual growth trend of Castanopsis kawakamii population.
出处
《应用生态学报》
CAS
CSCD
2000年第2期173-176,共4页
Chinese Journal of Applied Ecology
基金
福建省自然科学基金资助项目!(F991 )
关键词
青钩栲
遗传算法
自适应种群增长模型
保护
Castanopsis kawakamii , New self adaptive model, Genetic algorithm