森林生长预测是林业经营活动中的一个重要组成部分。准确地进行森林生长预测,对更好地掌握森林资源消长变化规律,为林业长远规划设计提供科学依据具有重要意义。以往对森林生长预测普遍采用复利公式或建立回归模型方法,但由于生长率不易测定准确,因此,利用复利公式就很难真正地反映森林群体的变化规律,预测误差较大;而又在原始调查数据少或是杂乱无章,根本不能建立回归方程的情况下,本文根据邓聚龙灰色系统理论,按照线性微分(GM)模型,对森林生长 Forest growth projections are an important part of forest management activities. Accurately forecasting forest growth is of great significance to better understand the changing rules of forest resource consumption and provide a scientific basis for the long-term planning and design of forestry. However, since the growth rate is not easy to measure accurately, it is hard to use the compound formula to really reflect the changing law of forest group, and the prediction error is relatively large. In the original investigation With little or no data and no regression equation can be established at all, according to Deng Ju-long’s gray system theory, according to the linear differential (GM) model,