林业科学Issue(6)：34-41,8.DOI:10.11707/j.1001-7488.20140605
基于异速参数概率分布的立木地上生物量估算
Estimation of Above-Ground Tree Biomass Based on Probability Distribution of Allometric Parameters
摘要
Abstract
Allometric biomass equations are widely used to predict above-ground biomass in forest ecosystems. It found the distribution of the parameters a and b of the allometry between above-ground biomass ( M ) and diameter at breast height( D) ,lnM = a + blnD,well approximated by a bivariate normal from analysis a data of 304 functions of 80 papers. ANOVA was tested to parameters in seven genera. In contrast to the parameter a,there was significant difference in parameter b. There were negative correlation between the parameter a and b,the parameter b and latitude. From this negative correlation,simultaneous-equation was used to build general model for parameters which were changed by latitude . Three methods which include established general model,minimum-least-square regression and Bayesian approach were used to fitting the above-ground biomass of Larix kaempferi in sub-tropical alpine area. The result showed that general model was the lowest precise quantifications ( R2 =0. 892 ) ,but it could estimate the biomass where forest situated in latitude without samples. With sample size was more than 50,both Bayesian method and minimum-least-square regression was no significant difference in the mean absolute error. And it was less than 50,Bayesian method was better than minimum-least-square regression. Therefore,it was suggested that Bayesian method was used to estimate above-ground biomass when the sample size was less than 50 .关键词
异速生物量模型/参数/概率分布/贝叶斯方法Key words
allometric biomass equations/parameters/probability distribution/Bayesian method分类
农业科技引用本文复制引用
黄兴召,陈东升,孙晓梅,张守攻..基于异速参数概率分布的立木地上生物量估算[J].林业科学,2014,(6):34-41,8.基金项目
林业公益性行业科研专项经费项目(201104027)。 （201104027）
