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中文摘要：
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。
英文摘要：
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.
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