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珍稀濒危植物青钩栲种群数量特征研究
引用本文:吴承祯,洪伟,陈辉,刘金福,何东进,林成来.珍稀濒危植物青钩栲种群数量特征研究[J].应用生态学报,2000,11(2):173-176.
作者姓名:吴承祯  洪伟  陈辉  刘金福  何东进  林成来
作者单位:福建林学院资源与环境系,南平,353001
基金项目:福建省自然科学基金资助项目!(F991 )
摘    要:提出自适应种群增长新模型S=exp(aln^2(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群种的实际增长趋势,说明新模型具有一定的实用价值。

关 键 词:青钩栲  遗传算法  自适应种群增长模型  保护
修稿时间:1999-01-04

Quantitative characteristics of rare and endangered Castanopsis kawakamii population
WU Chenzhen,HONG Wei,CHEN Hui,LIU Jinfu,HE Dongjin,LIN Chenlai.Quantitative characteristics of rare and endangered Castanopsis kawakamii population[J].Chinese Journal of Applied Ecology,2000,11(2):173-176.
Authors:WU Chenzhen  HONG Wei  CHEN Hui  LIU Jinfu  HE Dongjin  LIN Chenlai
Institution:Department of Resources and Environment, Fujian Forestry College, Nanping 353001. wucz@public.npptt.fj.cn
Abstract:In this paper, a new self-adaptive model for population growth, i.e. S = exp(alpha ln2(1 + ce-rt) + beta ln(1 + ce-rt) + gamma) was established, which combined Logistic, Smith, Gompertz, Gui-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.
Keywords:Castanopsis kawakamii    New self  adaptive model  Genetic algorithm  
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