Biomass Estimation Model and Its Universality of Cunninghamia lanceolata in Lin’an

In April 2016, 6 sample plots of 20 m × 20 m were established at Cunninghamia lanceolata stand with different age and density in Tianmushan, Lin’an of Zhejiang province for complete enumeration. One analytic wood were selected at each sample plots with different diameter classes. Biomass of organs and whole of individual tree was estimated by different models. Based on data from continuous inventory for national forest resources of Lin’an in 2009, 24 models of biomass estimation had good result of fitting, among them, the power function model had the best effect, followed by the exponential function model and the polynomial model. The result showed that there were five optimal models for C. lanceolata organ biomass and one whole plant model based on the power function.