建立生物量模型是生物量估测的主要手段，而建立与材积兼容的生物量模型是实现生物量调查与森林蓄积量调查相结合的基础。因此，采用变量逐步筛选法建立了落叶松和椴树与材积兼容的生物量模型。模型的参数估计采用了加权最小二乘法，以消除异方差现象。同时，提出了５个指标用于模型评价，即参数变动系数Ｃｖｉ、总相对误差Ｅｒ、平均相对误差Ｅｍ，平均相对误差绝对值Ｅａ和预估精度Ｐ。研究结果表明，所建的生物量模型不仅实现了与材积表的兼容，而且估计效果和预估精度较以往的ＣＡＲ模型都有显著提高。最后给出了一些备选模型 Establishing a biomass model is the primary means of biomass estimation, and establishing a biomass model compatible with the volume is the basis for combining biomass surveys with forest stock volume surveys. Therefore, a biomass-compatible biomass model of larch and lime tree was established using stepwise screening of variables. The parameter estimation of the model adopts weighted least square method to eliminate heteroscedasticity. At the same time, five indexes are proposed for the model evaluation, namely the parameter variation coefficient Cvi, the total relative error Er, the average relative error Em, the average relative error absolute value Ea and the predicted accuracy P. The results show that the proposed biomass model not only achieves the compatibility with the volume chart, but also has a significantly improved estimation effect and predictive accuracy compared with the previous CAR model. Finally, some alternative models are given