Based on lots of data from temporary sampling plots of artifitial stands and the data of analytic woods of Larix principis-rupprechtii, multi-linear regression function was used to simulate individual height growth of L. Principis-rupprechtii. Tree size and site conditions were selected as independent variables. The coefficient R2 of the model was 0. 516. Through stepwise multiple regression analysis,the impact of the variables on the height growth ranked as tree size, and site conditions. The model of tree growth height were tested by applying the test database,the predicitive value was 2. 77 m,slightly higher than the measured value 2. 74 m. However,t-test showed that the difference was not significant.%基于大量华北落叶松人工林临时样地和解析木数据,选用林木大小和立地条件为自变量,构建起单木树高生长量回归模型,模型相关系数R2为0.516.结果表明,影响华北落叶松单木树高生长量的因素从大到小依次为:林木生长、立地条件.利用检验数据对所建立的树高生长量模型进行检验,预测值2.77m要略高于实测值2.74 m,t-检验差异不显著,模型预测效果良好.
展开▼
