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嵌套式回归建立树木生物量模型
引用本文:刘琪璨.嵌套式回归建立树木生物量模型[J].植物生态学报,2009,33(2):331-337.
作者姓名:刘琪璨
作者单位:(北京林业大学林学院,北京 100083)
基金项目:科技部国际合作项目,国家重点基础研究发展规划(973计划),中国科学院野外台站研究项目 
摘    要: 该文介绍了一种建立树木生物量模型的简单快速方法——嵌套式回归。基本原理是以枝轴为基本单位, 逐级拟合。过程是把枝条分解成枝轴, 从枝轴到枝条, 再到单株, 拟合不同层次或尺度的生物量模型。建立枝轴生物量方程, 估计各级枝轴生物量, 将枝轴生物量(实测值或模拟值)总和起来便得到枝条生物量。由于样本单元之间有包含关系, 实际测定的样本很小, 具有快速实用的特点。检验结果显示, 模型预测值和实测值具有较高的一致性。

关 键 词:生物量  枝条  异速生长方程  嵌套式回归

NESTED REGRESSION FOR ESTABLISHING TREE BIOMASS EQUATIONS
LIU Qi-Jing.NESTED REGRESSION FOR ESTABLISHING TREE BIOMASS EQUATIONS[J].Acta Phytoecologica Sinica,2009,33(2):331-337.
Authors:LIU Qi-Jing
Affiliation:Department of Forest Science, Beijing Forestry University, Beijing 100083
Abstract:Aims The objective was to introduce a simplified method called nested regression for quick establishment of allometric models for tree biomass. Methods Main branches at all orders were used as basic sample units. The biomass of a branch was obtained by summing that of its sub-branches or sub-main branches, either observed or estimated. Thus the span of branch diameter for the equation was extended. The branch was dissected into main braches, and a main branch is the axis of a branch at any order. Biomass equations were established for main branches, branches and individual trees, progressively. By summing the values of main braches, the biomass of a branch in a higher order was obtained. Important findings Because of data nesting, i.e., small branches were encompassed in their upper-order branches, the measured sample was reduced to a minimum, making the method time- and cost-effective. Satisfactory accuracy of predicted values was shown by testing with observed data.
Keywords:biomass  branch  allometric equation  nested sampling
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