Application of Bayesian Method in Stand Basal Area Prediction of Chinese Fir Plantation
Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.),an endemic tree species in China' s subtropical area,is one of the most important fast-growing tree species for timber production in southern China.Based on the periodic data of the Chinese fir in Jiangxi province,three stand basal area models (Korf-based model,Richards -based model,and Hossfeld-based model) were developed using generalized algebraic difference approach (GA-DA).The results showed that Richards-based model was the best for modeling the stand basal area of Chinese fir in the study.Additionally,Bayesian method and Classical method (nonlinear least squares method) were used to estimate the Richards-based model.Although the precision of Bayesian method was nearly equal to that of the classical method,the model reliability using Bayesian method was better than using classical method.
Bayesian method, stand basal area, Chinese fir, Cunninghamia lanceolata
NETL
NSTL
万方数据
维普
