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桂西南米老排人工林单株生物量回归模型     被引量:8

Individual Biomass Regression Model of Mytilaria laosensis in Southwest of Guangxi

文献类型:期刊文献

中文题名:桂西南米老排人工林单株生物量回归模型

英文题名:Individual Biomass Regression Model of Mytilaria laosensis in Southwest of Guangxi

作者:明安刚[1] 唐继新[1] 于浩龙[1] 史作民[2] 卢立华[1] 贾宏炎[1] 蔡道雄[1]

第一作者:明安刚

机构:[1]中国林业科学研究院热带林业实验中心;[2]中国林业科学研究院森林生态环境与保护研究所国家林业局森林生态环境重点实验室

年份:2011

期号:6

起止页码:83-87

中文期刊名:林业资源管理

外文期刊名:Forest Resources Management

收录:北大核心:【北大核心2008】;

基金:林业公益性行业科研专项"森林增汇技术;碳计量与碳贸易市场机制研究"(201104006);中国林业科学研究院热带林业实验中心主任基金项目"桂西南3种珍贵乡土树种人工林碳储量与碳密度研究"(RL2011-02);"十一五"广西林业科技项目"广西主要人工林生态功能"(09-12-2)

语种:中文

中文关键词:生物量;回归模型;米老排;桂西南

外文关键词:biomass; regression models; Mytilaria laosensis; southwest of Guangxi

分类号:S758

摘要:通过对桂西南大青山林区28a生米老排(Mytilaria laosensis)人工林林分进行每木检尺和生物量的测定,建立了米老排各器官生物量与胸径、树高和胸径平方乘树高(D2 H)的相关关系;分别选用幂函数等5种模型,用回归分析方法对米老排人工林单株生物量模型进行了拟合。结果表明:树叶和树根生物量分别与胸径和树高的相关关系最显著,而树干、树枝、树皮和全株的生物量都与D2 H的相关关系最为显著。胸径、树高和D2 H与各器官生物量拟合的模型中,全株、树干和树皮的拟合效果最好,树叶和树根的拟合效果中等,树枝的拟合效果较差。除树皮外,各器官均以幂指数模型的拟合效果最好。
Based on the inventory data of a 28-years-old Mytilaria laosensis plantation and the biomass measurements of the mean sample trees,the correlation between diameter at breast height(DBH),tree height(H),D^2H and different parts of an individual tree were analyzed.Five biomass models,including power function model of individual tree of Mytilaria laosensis in southwest of Guangxi province were established by regression analysis.The results showed that the relationships between stem,branch,bark,total biomass and D^2H were significant while the relationships between leaf biomass and DBH and between root biomass and H were significant.In the models in which the independent variable is the DBH(D),tree height(H) and D2H respectively,total tree,trunk,and bark biomass recession models were fitted best,leaf and root biomass recession models were fitted moderately,and branch biomass recession model were fitted worst.Power function model was the best regression model for fitting biomass of the most parts of an individual tree except bark biomass.

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