3种异速生长方程对生物量建模的对比分析

利用5个树种的1 055株样木的生物量实测数据,对3种常用的异速生长方程的建模效果进行比较分析。结果表明,二元生物量模型M=aDbHc的拟合效果通常要好于一元生物量模型M=aDb;基于组合变量的常用二元模型M=a(D2H)b并不适合于各类生物量的估计,仅对树干生物量和干材生物量的估计是有效的,对其它生物量的估计其效果还不如一元模型;建立树冠、树枝和树叶生物量模型时,采用组合变量D3/H可能是合适的。

Comparison of three allometric equations for biomass modeling

Using the measured biomass data of 1 055 sample trees from five species in China, the fitting results of three commonly-used allometric equations were compared and analyzed. It was showed that： 1 ） the fitting goodness of two-variable biomass model M = aDb Hc was better than the one-variable model M = aDb ; 2 ） the commonly-used two-variable model M = a（D2H） bwas not suitable for estimation of all kinds of biomass, which was only effective for estimation of stem biomass and stem wood hiomass, and was even worse than one-variable model for estimation of other biomass components;3 ） for biomass modeling of crown, branches and leaves, compound variable D3/H was probably fit.