Analysis on the Forest Communities of Dinghushan,Guangdong

Ⅳ.Similarity and Cluster Analysis Wang Bosun (Zhongshan University)Peng Shaolin (South China Institute of Botany; Academic Sinica)

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Analysis on the Forest Communities of Dinghushan,Guangdong

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- Analysis on the Forest Communities of Dinghushan,Guangdong
- Acta Scientiarum Naturalium Universitatis SunYatseni Vol. 24, Issue 1, Pages: 31-38(1985)
- 作者机构：
  
  1. 中山大学生物学系
  2. 中国科学院华南植物研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：1985，
  
  Published Online：25 January 1985，
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Ⅳ.Similarity and Cluster Analysis Wang Bosun (Zhongshan University)Peng Shaolin (South China Institute of Botany, Academic Sinica). Analysis on the Forest Communities of Dinghushan,Guangdong. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 24(1):31-38(1985)
DOI：

Ⅳ.Similarity and Cluster Analysis Wang Bosun (Zhongshan University)Peng Shaolin (South China Institute of Botany, Academic Sinica). Analysis on the Forest Communities of Dinghushan,Guangdong. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 24(1):31-38(1985) DOI：

摘要

本文通过应用物种相似性测定和聚类分析的方法

对鼎湖山厚壳桂群落进行梯度分析

说明了厚壳桂群落随海拔高度梯度变化的情况

以及较高与较低海拔两个生态组合的差异.并对鼎湖山、黑石顶、粤北鸡公坑等地共10个群落进行比较分析

揭示了10个森林群落的相互关系及其某些群落的发展动向.同时还对分析方法进行了评价.

Abstract

The changed cases of the stairs along height above sea level in Cryptocaryachinensis Community on Dinghushan

and the communities comparison to 10 fo-rest communities on Dinghushan and Nankunshan and Jigongkeng are analysedwith the measurement of species similarity and cluster analysis.The relation a-mong 10 forest communities and the leaning of the development of some communi-ties are exposed.The analysis methods are valued.It shows that percentage of similarity is thebest among three methods of the measurement of species similarity.Cluster ana-lysis is a better method which is widely used.

关键词

森林群落生物群落厚壳桂群落鼎湖山相似性类似性聚类分析&nbsp点群分析

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Wang Bosun

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Related Institution

Zhongshan University

South China Institute of Botany,Academic Sinica

中山大学大气科学系

Department of Chemistry,Zhongshan University

中山大学计算机科学系

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