文献类型：期刊文献

中文题名：Integrated Stand Growth Model of Mongolian Oak and Its Application

英文题名：Integrated Stand Growth Model of Mongolian Oak and Its Application

作者：Hong Lingxia[1] Lei Xiangdong[1] Li Yongci[2]

第一作者：洪玲霞

机构：[1]Research Institute of Forest Resource Information Techniques,Chinese Academy of Forestry;[2]Beijing Forestry University

年份：2012

卷号：11

期号：3

起止页码：65-66

中文期刊名：Chinese Forestry Science and Technology

外文期刊名：中国林业科技（英文版）

收录：CSTPCD;;Scopus;北大核心:【北大核心2011】；CSCD:【CSCD2011_2012】；

基金：林业公益性行业科研专项[201004002]

语种：英文

中文关键词：Quercus;mongolica;integrated;stand;growth;model;stand;density;management;diagram

外文关键词：Quercus mongolica;integrated stand growth model;stand density management diagram

分类号：S7

摘要：This paper established an integrated stand growth model of Mongolian oak(ISGM_oak) using the data from 61 permanent sample plots measured in 1997 and 2007.ISGM_ oak is a group of nonlinear simultaneous equations.The method of nonlinear error-in-variable simultaneous equations is used to estimate the parameters of ISGMoak with the statistical software Forstat 2.0,so the parameter estimation of the group of correlated equations in ISGMoak is unbiased and the equations are compatible.Model validation using bootstrap method showed that both the average relative error and square error are less than 15 percent.The ISGM_ oak model can be used to simulate the stand growth with different values of site index,stand density and to draw stand density management diagram for decision-making.
This paper established an integrated stand growth model of Mongolian oak(ISGM_oak) using the data from 61 permanent sample plots measured in 1997 and 2007.ISGM_ oak is a group of nonlinear simultaneous equations.The method of nonlinear error-in-variable simultaneous equations is used to estimate the parameters of ISGMoak with the statistical software Forstat 2.0,so the parameter estimation of the group of correlated equations in ISGMoak is unbiased and the equations are compatible.Model validation using bootstrap method showed that both the average relative error and square error are less than 15 percent.The ISGM_ oak model can be used to simulate the stand growth with different values of site index,stand density and to draw stand density management diagram for decision-making.