中文摘要：

以大兴安岭兴安落叶松为研究对象,利用统计学软件SPSS拟合林木生物量模型,结果表明：建立的总量、地上部分、树干、树枝、树叶、树皮及树根生物量方程,其R^2均大于94.3%;标准化残差与各组分生物量之间不存在任何趋势,各组分生物量回归方程为随机分布,证明数学模型具有统计学上的意义;各组分生物量模型预估精度均大于84%以上,而树干和地上生物量模型则在90%以上。模型的可行性较高,其参数也可为寒温带兴安落叶松生物量分配研究提供参考。

英文摘要：

By taking the Larix gmelinii in Daxing＇anling Mountain Area as the research object,the forest biomass models were built by using statistical software SPSS. The results showed that： Biomass equations of total,aboveground part,trunk,branch,leaf,Tree bark,and root were built. The R^2 of all above biomass models were more than 94.3%. The estimate accuracy of each biomass model was more than 84%. The estimate accuracy of stem biomass model and aboveground part biomass model were more than 90%.The feasibility of the model is higher and the parameters can also provide reference to the research on the biomass allocation for boreal Larix gmelinii.