| With global climate change,carbon sink function of the forest system got widely attention,forest biomass as the basis of data of forest ecosystems,become a hot research scholars. Biomass expansion factor(BEF),biomass conversion and extension factor(BCEF),Root-shoot ratio(Rra) etc.were important forest biomass parameters of forest measurement,many biomass factor models has been built, did not took into account the incompatible problem between weight and volume,and biomass factors, led to the same set of data for different estimation results. This study choose MoJiang county, Simao district, Lancang county in Yunnan province pu ’er city as the study sites, investigatied biomass of 45 plots and 128 sample trees at typical sites, on the basis of the power function model forms, based on tree height(H),diameter at breast height(DBH),crown width(CW),crown length(CL),and other basic measurement factors and their complex factors,built the models of independent component biomass factor at individual level,and starting from the definition of compatibility model, through reasonable compatibility system design,based on the same tree measurement factors as above,built built root-shoot ratio(Rra),Crown-stem ratio(Rcs),Bark-wood ratio(Rbw) and Foliage-branch ratio(Rfb) models,Got the biomass factors’ compatiblity models of component,Finaly,Compared the independent model and compatibility model. The results showed that:(1) The biomass expension factor independent models of each component wre best with three variables model, in addition to the model of root which correlation coefficient was 0.7269, foliage model correlation coefficient was 0.8688, the correlation coefficient of other components were both reached 0.90 above. Biomass conversion and expansion factor independent of each component of the model fitting results indicate that the timber portion diameter(DBH) univariate model fit best, the correlation coefficient was 0.9853; root model places the product of the square of diameter at breast height and tree height(D2H), crown length(CL) for the two-variable model best fit the argument, the correlation coefficient lower than other components, was 0.7212; biomass conversion and expansion factor independent of other components of the model are based on three-variable model fitting results preferably, in addition to the bark model’s correlation coefficient was 0.8713, the other were up to 0.90.(2) The root-shoot ratio(Rra) were kept the model which product of the D2 H and CL had better fitting effect, the correlation coefficient was 0.7518; Crown-stem ratio(Rcs) were kept the model with DBH, H, CW2 CL had better fitting effect of the three variables,the correlation coefficient is 0.9145; leather wood ratio(Rbw) model with DBH, H, CL had better fitting effect of the three variables, the correlation coefficient was 0.8823; leafy shoots ratio(Rfb) model with DBH,H,CW of three variable model fits best, a correlation coefficient of 0.8202.(3) It can got the conclusion from the independence test result,which between the independent model and compatibility model, timber, the bark, branches, needles and above ground biomass expansion factor(BEF) compatibility model have improved the forecast precision; Roots and above ground biomass expansion factor(BEF) compatibility model test result was worse than the independent model. Branch and bark biomass conversion and expansion factor(BCEF) compatibility model better than independent model;Biomass conversing and expansion factor(BCEF) compatibility model and independent model of branches, needles and above ground Root have no significant differences; Roots and above ground biomass conversion and expansion factor(BCEF) compatibility model test result was worse than the independent model. |
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