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BEF–stem volume equation has been widely applied to accurate stand biomass estimations. Stand biomass data were obtained from 53 permanent sample plots from Chinese fir plantations in Anhui and Fujian Province across China. There were significant differences between Fujian and Anhui from compared the stand biomass, volumes and BEF at difference age. The general approach, mixed model approach and Bayesian hierarchical approach were applied to establish BEF–stem volume equation for test effect factor of regions. Based on the fitting results, the mixed model approach and Bayesian hierarchical approach significant improving the accuracy of the stand biomass (p-values < 0.001). But there was no significant between the mixed model approach and Bayesian hierarchical approach (p-value =0.547). The R2 values which used mixed model approach and Bayesian hierarchical approach were 0.159 and 0.161 higher than general approach. The RMSE and MAB values also declined 0.083 and 0.092, 0.143 and 0.148, respectively. Both the mixed model approach and Bayesian hierarchical approach were an effective method for estimating stand biomass at the regional scale.

international journal of research in agriculture and forestry

Biomass Expansion Factors Estimation of Chinese Fir (Cunninghamia Lanceolata) based on General Approach, Mixed Model Approach and Bayesian Hierarchical Approach