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本文介绍国内外关于多元分析方法(包括多元回归,判别分析,聚类分析,因子分析和典范变量分析等)在森林土壤学中应用的事例。 在我国,多元分析在土壤学上的应用始于七十年代后期。一开始就有一些定量和数值化研究工作是与森林土壤及其水分状况分类、森林土壤生产力评价和森林土壤障碍性因子诊断等课题有关。例如,对东北地区灰化土与暗棕壤的判别,用模糊聚类法进行华北褐色森林土的数值分类,用系统聚类法将南京附近杉林下黄棕壤的湿度状况进行归类,对江西省杉林下土壤障碍性条件的判别分析,以及用多元回归对南方杉木林或其他树林下土壤生产力的评价,等等。
This article introduces the domestic and foreign cases about the application of multivariate analysis (including multiple regression, discriminant analysis, cluster analysis, factor analysis and canonical analysis of variables) in forest soil science. In China, the application of multivariate analysis in soil science began in the late 1970s. From the outset, some quantitative and numerical studies are related to topics such as the classification of forest soils and their water status, the evaluation of forest soil productivity and the diagnosis of forest soil barrier factors. For example, the classification of asbestos soil and dark brown soil in Northeast China is carried out. The fuzzy clustering method is used to classify the brown forest soil in North China. The cluster analysis method is used to classify the humidity of yellow brown soil under the fir forest in Nanjing, Discrimination Analysis of Soil Barrier Conditions in Chinese Fir Forest in Jiangxi Province and Evaluation of Soil Productivity in Southern Chinese Fir Forest or Other Forest Using Multiple Regression.