江西大茅山金盆山常绿阔叶林的Q—型聚类分析

用Q-型聚类分析法对取自大茅山和金盆山的34个常绿阔叶林进行了分类.结果表明,用Q-型聚类分析法所划分的类型与按优势种划分的类型既有相似之点,又有不同之处.但是聚类分析法可以对样地进行更为详细的分类,不但可把取自不同地区而优势种相同的归为一类,也可把它们划分开来;同时还可把优势种不同而地区相同的样地归并到一起.这反映了与地区的经纬度、海拔高度等生境条件相联系的区系组成的变化.根据聚类分析结果把34个样地划分出15个类型.本文还详细介绍了Q-型聚类分析法.

Q-CLUSTER ANALYSIS OF EVERGREEN BROAD-LEAVED FOREST IN DAMAOSHAN MOUNTAIN AND JINPANSHAN MOUNTAIN, JIANGXI, CHINA

The Q-cluster analysis method is used to classify 34 releves of evergreen broad-leaved forest which collected from Damaoshan Mountain and Jinpan-shan Mountain of Jiangxi. The results of using Q-cluster analysis are similar to, and as well as different with dominance-type classification. However, the Q-cluster analysis may differentiate the releves in more details.In some case it can not only incorporate the releves which come from different places and have same dominants into same type, but also may divide them into distinct groups. Sometimes it can also put the releves coming from same place and having different dominants together. All of them can reflect the various floristic composition which relate to longitude, latitude, atitude and other habitat factors. Based on the results of Q-cluster analysis, 34 releves can be divided into 15 types. In this paper, Q-cluster analysts is also reported in details.