为解决当前北京市二类调查通过角规绕测技术预估林分蓄积量存在的问题,基于北京市二类调查数据,根据优势树种(组)的不同,将北京市森林划分成10个不同的树种组。在此基础上,利用一类清查数据,以林分蓄积量为因变量,林分参数及立地参数为自变量构建非线性蓄积量预估模型,计算确定系数(R²)、总相对误差(TRE)、估计值的标准差(SEE)、平均系统误差(MSE)、平均预估误差(MPE)和平均百分标准误差(MPSE),并对模型拟合效果进行评价。结果表明:构建的蓄积量预估模型拟合效果较好,各树种组蓄积量预估模型的确定系数(R²)均大于0.94,MPE均小于5%,MPSE基本在10%以下,可以应用于北京市二类调查中蓄积量的预估。

In order to solve the main problems of using angle gauge to estimate the stand volume in forest management inventory (FMI) of Beijing,the forests were divided into 10 different types according to dominant tree species (groups) based on the FMI data.Then,using the data of the 9th (2016) Chinese National Forest Inventory in Beijing,the non-linear models of stand volume for various tree species groups were developed with stand volume per hectare as the dependent variable and stand parameters and site condition parameters as the independent variables.The goodness-of-fit statistics of the models,i.e.,determination coefficient (R²),total relative error (TRE),standard error of estimate (SEE),mean systematic error (MSE),mean prediction error (MPE),and mean percent standard error (MPSE) were calculated.The results show that the models performed well and the values of R² were all greater than 0.94,MPE’s were less than 5%,and MPSE were almost less than 10%.The models can be applied to estimate the stand volume in the FMI of Beijing.