Abstract: Forest is an important part of the ecosystem and is the body in improving the global warming trend with the ability of the forest carbon sequestration and more attention, and the trees of forest carbon stocks in forest ecosystems is important to quantify carbon sequestration significance. With 44 wood analytic data of Daxing’an Mountains natural larch and various organs carbon sample wood density data, we drew the ideological compatibility biomass model to study compatibility carbon storage model. By the models of y=aD^b and y=a(D²H)^b, we used nonlinear equations of measurement error to establish the compatible of single and binary models of total carbon stocks and stem, branches, leaves and roots. By comparing the goodness of fit and independent test statistic of the model. For the goodness of fitting, the determination coefficient R² of the trunk in the single and binary models of four organs were 0.960 and 0.985, respectively, and all two values were the maximum. But for the branches, leaves and roots, the values were relatively low, reaching more than 85%, indicating that the overall model were feasible. By the model test, the efficiencies of EF values in different analog trunk model were 0.904 and 0.951, with the estimated accuracy of 80.5% and 85.5%, respectively, followed by the branches simulation efficiencies of 0.830 and 0.898 with the accuracy of more than 70%, and the leaf and root forecast accuracies were low with the values of 70%. The forecast binary model accuracy of fitting and prediction was better than that in the single model.

Key words: Daxing’an Mountains, natural larch, nonlinear measurement errors model, compatible carbon stocks model