根据灰色系统理论,选用浙江省有代表性的云和、开化、建德和丽水等杉木产区县的110块杉木样地资料,采用关联序分析法,对其地位指数级进行预报,并结合线性回归模型,对杉木林分的优势木平均高进行预测。结果表明,预测预报的精度较高,计算简便,是预测杉木立地生产力的较好方法。 According to the gray system theory, 110 Chinese fir-like plots of typical Chinese fir, such as Yunhe, Kaihua, Jiande, and Lishui in Zhejiang Province were selected and correlated with index-level prediction Linear regression model was used to predict the average height of dominant wood in Chinese fir stands. The results show that the forecasting accuracy is high and the calculation is simple, which is a good method to predict the productivity of Chinese fir.