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香港岛森林群落的数量分析——模糊聚类、相互平均排序与R型主分量分析
引用本文:王伯荪,余世孝,张宏达,胡玉佳,陆阳,毕培曦,钟焰兴.香港岛森林群落的数量分析——模糊聚类、相互平均排序与R型主分量分析[J].中山大学学报(自然科学版),1987(4).
作者姓名:王伯荪  余世孝  张宏达  胡玉佳  陆阳  毕培曦  钟焰兴
作者单位:中山大学,中山大学,中山大学,中山大学,中山大学,香港中文大学,香港嘉道理农业辅助会
基金项目:香港嘉道理农业辅助会赞助
摘    要:应用模糊聚类、相互平均排序及R型主分量分析,对香港岛13个森林群落及其组成物种进一步研究的结果表明:模糊聚类是一种可行的数值分类方法;二维的相互平均排序能很好地反映各森林群落间的相互关系,以及各物种在森林群落中的分布关系;R型主分量分析则能直观地表明香港岛森林群落中优势种与伴生种之间的相互关系.

关 键 词:香港岛  森林群落  模糊聚类  相互平均排序  R型主分量分析

The Fuzzy Cluster, Reciprocal Averaging Ordination and R-Principal Component Analysis of Forest Communities on Hong Kong Island
Wang Bosun Yu Shixiao Chang Hungla Hu Yujia Lu Yang.The Fuzzy Cluster, Reciprocal Averaging Ordination and R-Principal Component Analysis of Forest Communities on Hong Kong Island[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,1987(4).
Authors:Wang Bosun Yu Shixiao Chang Hungla Hu Yujia Lu Yang
Abstract:A further research was made to the 13 forest communities on Hong Kong island by using fuzzy cluster, reciprocal averaging (RA) and R-Principal component analysis (R-PCA). The results show that fuzzy cluster is suitable for the classfication of the lower subtropical forests, especially, the higher classficational units. The RA ordination indicates the relations between 13 forest communities and 60 species distribution in these forest communities and it seems better and more significant than the other methods in this field. And R-PCA illustrated the relationship between the dominant and subordinate species.
Keywords:Hong kong island  Forest communities  Fuzzy cluster  Reciprocal averaging ordination  R-Principal component analysis
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