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思茅松天然次生林林分生长模型的研究
引用本文:胥辉.思茅松天然次生林林分生长模型的研究[J].西部林业科学,2001(2):13-16.
作者姓名:胥辉
作者单位:西南林学院,云南 昆明650224
基金项目:本项目为云南省自然科学基金,项目编号(1999C0061M)
摘    要:从影响林分生长的立地、年龄、密度3个主要因素出发,利用优势高生长与密度关系相对较小这一特点,在不同立地条件、林分密度、林龄的思茅松天然次生林中设立98块标准地,依据标准地测定的数据,以Logistic和Richards理论方程为基本模型,在模型中引入立地质量,林分密度,林分年龄构建了思茅松天然次生林林分的生长模型系统。研究表明Logistic模型不仅具有良好的预测性,而且具有广泛的适用性,用它作为描述思茅松天然次生林林分生长的基本模型,能很好地表达其生长过程。

关 键 词:思茅松  天然次生林  林分生长模型
文章编号:1007-3353(2001)02-0013-04
修稿时间:2000年11月29

Study on Growth Model of Pinus kesiya var.langbianensis Natural Secondary Forest
XU Hui.Study on Growth Model of Pinus kesiya var.langbianensis Natural Secondary Forest[J].Journal of West China Forestry Science,2001(2):13-16.
Authors:XU Hui
Abstract:Site condition,age and density were the main factors affecting the growth of stand,and the correlation between dominant height and density was small The growth of Pinus kesiya var langbianensis was studied based on the investigation data on 98 sample plots of different site condition,stand age and stand density in P kesiya var langbianensis natural secondary forest The growth model of P kesiya var langbianensis was established by introducing site condition,stand density and stand age to the basic model,Logistic and Richards theoretic equations The results of study indicated that Logistic model was good at forecasting,and had wide adaptability,the growth process of P kesiya var langbianensis stand could be expressed by using Logistic model as the basic model
Keywords:Pinus kesiya var  langbianensis  natural secondary forest  stand growth model  
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