Tree biomass estimation of Chinese fir (Cunninghamia lanceolata) based on Bayesian method.

ABSTRACT: Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) is the most important conifer species for timber production with huge distribution area in southern China. Accurate estimation of biomass is required for accounting and monitoring Chinese forest carbon stocking. In the study, allometric equation W = a(D2H)b was used to analyze tree biomass of Chinese fir. The common methods for estimating allometric model have taken the classical approach based on the frequency interpretation of probability. However, many different biotic and abiotic factors introduce variability in Chinese fir biomass model, suggesting that parameters of biomass model are better represented by probability distributions rather than fixed values as classical method. To deal with the problem, Bayesian method was used for es

SUBMITTER: Zhang X 

PROVIDER: S-EPMC3835933 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature