Quantitative classification and discriminant analysis of the karst forest vegetation in Maolan，China

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Quantitative classification and discriminant analysisof the karst forest vegetation in Maolan,China

Based on the classical clustering method,Fuzzy clustering method,Grey correlation cluster-ins method and simple discriminant analysis,we studied the karst forest vegetation in Maolan of Chi-na.The result shows that the classical clusterins method and Fuzzy clustering method can be effective-ly used in the studies of the karst forest vegetation of subtropics.Simple discriminant analysis is a veryconvenient and effective approach to explain the correlation between the environmental factors and theclustering result of vegetation.Generally,the karst forest vesetation of Maolan may be divided intotwo vegetation types,i.e.temperate coniferous broadleaved mixed forest and evergreen deciduousbroadleaved mixed forest.The former includes seven formations and the latter consists of thirteen for-mations.Transparence of community and interference by human beings are the two most important en-vironmental factore to the discrimination of the two vegetation types and the soil pH-value,elevationand transporence of community are the principal environmental factoro to discriminate the five forma-tions of the vegetation type of the evergreen deciduous broadieaved mixed forest.