断面积生长间伐效应模型的研究是林分生长和收获预估模型体系研究摘要的核心内容。

Models on thinning effects on basal growth prediction are the kernel of the model system of stand growth and yield prediction.

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因此，在制定正确的森林经营决策之前，首先必须建立林分生长与收获模型，以掌握林分结构、生长动态、货币收获变化规律，并预测林分对即将实施措施的反应。

Thus, the growth and obtain models must be established before making the proper manage decision, the structure and grow dynamic and obtain change rule of the stand will be grasped by the models.

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最后，本文还将把人工神经网络建立的林分密度模型用于森林资源资产评估，进行生长收获的预估。

At last, this paper will also apply the stand density model established with artificial neural network in asset assessment of forest resources and the estimation of growth and harvest.

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