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以北京西山林场低山区调查的89块侧柏人工林样地数据为基础,采用一元线性回归模型、多元线性回归模型、其它模型对不同立地条件下的侧柏单木冠幅预测模型进行研究。结果显示:低山阳坡的侧柏人工林单木冠幅分布范围大于低山阴坡的,且低山阳坡的平均冠幅为3.05m也显著高于阴坡的2.83m;多元线性回归模型对低山阳坡和低山阴坡的侧柏人工林单木冠幅生长拟合精度最高,R2值分别为0.751和0.770;采用未进行建模的数据对筛选出的多元线性回归模型进行T检验,发现实测值和预测值差异不显著,残差服从正态分布,拟合效果良好。研究结果可对低山区侧柏人工林的冠幅生长动态进行精确预测,为侧柏人工林经营管理的数字化、动态化、精确化提供理论依据。
Based on the data from 89 plots of Platycladus orientalis plantations surveyed in the low mountain area of Xishan Forest Farm in Beijing, the univariate linear regression model and multivariate linear regression model were used, and the other models were used to study the single-crown prediction model of Platycladus orientalis in different habitats. The results showed that the width of single-canopy width distribution of A. orientalis plantations was higher than that of low hills and shady slopes, and the average crown width was 3.05 m in low hillsides and 2.83m in shady slope. The multiple linear regression The fitting precision of single-crown growth of Platycladus orientalis plantations was the highest with the R2 values of 0.751 and 0.770 respectively for the low-mountain and low-hill shady slopes. The multivariate linear regression models screened by the unmodeled data T test, found no significant difference between the measured and predicted values, the residuals obey the normal distribution, the fitting effect is good. The results of this study can accurately predict the crown growth of Platycladus orientalis plantations and provide a theoretical basis for the digital, dynamic and accurate management of the plantations of Platycladus orientalis.