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本文用一种简便的主组元聚类法对广东杉木立地进行分类。在选取分类指标的方法上作了改进,选取8个对杉木生长影响较大的环境因子为分类指标,计算了这些因子的相关矩阵前4个较大特征值的主组元,选取贡献率较大而又与立地指数显著相关的第2、3主组元为分类的综合指标,作平面聚类图,将40个样本分为6类,从中判认出各类生产力,结果表明: 第1、2类立地指数较大,适宜种杉。第3、4类生产力中等,可以种杉。第5类严重缺钾,需增加土壤中的含钾量,以提高生产力。第6类因部位不适合,不宜种杉。 本研究结果,不仅为广东杉木生产估计经济效益提供了科学依据,同时也为分类工作者提供了一种方法。
In this paper, a simple principal component clustering method for the classification of Guangdong fir site. In the method of selecting the classification index, eight environmental factors that have a great influence on the growth of Chinese fir were selected as the classification index, and the main components of the four largest eigenvalues of the correlation matrix of these factors were calculated. The second and the third main components, which are significantly related to the site index, are the comprehensive indicators of the classification. The data are classified into six categories by the cluster analysis. The results show that: , Two kinds of site index larger, suitable for fir. Class 3, 4 medium productivity, you can seed fir. Category 5 serious potassium deficiency, the need to increase the amount of potassium in the soil to increase productivity. Category 6 due to the site is not suitable, not suitable for fir. The results of this study not only provide a scientific basis for estimating the economic benefits of Cunninghamia lanceolata production, but also provide a method for classification workers.