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使用Richard,Logistic,Korf,Mitscherlich,Schumacher,weibull等6种理论生长方程拟合了不同立地条件下油松人工林单木树高生长过程,从中选出模拟效果最优的生长方程。研究结果显示:三参数理论生长方程Lo—gistic、weibull、Richard、Korf对油松树高生长拟合的精度基本相近,明显高于二参数的Mitscherlich、Schumach—er方程;立地指数显著影响各方程渐进线参数和形状参数,将立地指数引入各理论生长方程中,构建了模拟油松人工林单木树高生长精度最优的预测方程为Logistic式;使用未参加建模的油松解析木数据对构建的预测方程进行T检验,发现预测值与实测值之间无显著差异(P=0.6213>0.05)。可见,本文构建的预测方程可以准确预测油松人工林单木树高生长过程,为油松人工林科学经营提供重要参考。
The growth of single tree height of Pinus tabulaeformis plantations was fitted by six theoretical growth equations including Richard, Logistic, Korf, Mitscherlich, Schumacher and Weibull, and the optimal growth equation was selected. The results show that the fitting accuracy of three-parameter theoretical growth equation Lo-gistic, weibull, Richard and Korf for Pinus tabulaeformis growth is almost the same, which is significantly higher than the two-parameter Mitscherlich Schumach-er equation. Site index significantly affects the gradual progress of each equation Line parameters and shape parameters, the site index was introduced into each of the theoretical growth equations. The prediction equation for the optimal growth precision of Pinus tabulaeformis plantation was constructed as Logistic equation. The analysis of the wood data using Pinus tabulaeformis without modeling The constructed predictive equation was tested by T-test and found no significant difference between predicted and measured values (P = 0.6213> 0.05). It can be seen that the prediction equation constructed in this paper can accurately predict the single tree height growth of Pinus tabulaeformis plantations and provide important reference for the scientific management of Pinus tabulaeformis plantations.