利用已建立的阶跃函数模型可以有效地预测不同桉树品系人工林树冠生长动态，为桉树人工林的合理经营提供科学依据。
With these step function models, the crown diameter growth of Eucalyptus clones can be predicted, and it also provided scientific basis for the reasonable management of Eucalyptus plantations.
模型优化结果表明：在所有参与模拟的树冠生长的阶跃模型中，以幂函数模型为最优。
The optimizing model results show that the power model is the best one in all models tested.
模型优化结果表明：在所有参与模拟的树冠生长的阶跃模型中，以幂函数模型为最优。
The optimizing model results show that the power model is the best one in all models tested.
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