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21个自然保护区植物区系分类定量研究
引用本文:庄振宏,吴文龙,陈宗洵.21个自然保护区植物区系分类定量研究[J].福建农林大学学报(自然科学版),2004,33(1):104-109.
作者姓名:庄振宏  吴文龙  陈宗洵
作者单位:1. 福建农林大学生命科学学院,福建,福州,350002
2. 莆田一中,福建,莆田,351100
3. 福建师范大学数学系,福建,福州,350007
摘    要:先对指标(分布类型)进行筛选,后用主成分分析,选定3个主成分作为变量进行聚类分析.结果表明,21个保护区可归成5类:第一类为海南五指山,云南西双版纳和广东古田自然保护区;第二类为滇川干热河谷;第三类是广东丹霞山,福建万木林、武夷山,浙江凤阳山、龙王山,江西庐山,湖北大洪山;第四类包括河南宝天曼,山东泰山、昆嵛山,陕西长青、太白山,山西芦芽山、霍山,河北雾灵山、太行山;第五类是长白山植物区系核心部分的长白山.

关 键 词:聚类分析  主成分分析  植物区系
文章编号:1006-7817(2004)01-0104-06
修稿时间:2003年3月10日

Clustering 21 floras basing on variable selection and principal components analysis
ZHUANG Zhen-hong,WU Wen-long,CHEN Zong-xun.Clustering 21 floras basing on variable selection and principal components analysis[J].Journal of Fujian Agricultural and Forestry University,2004,33(1):104-109.
Authors:ZHUANG Zhen-hong  WU Wen-long  CHEN Zong-xun
Institution:ZHUANG Zhen-hong~1,WU Wen-long~2,CHEN Zong-xun~3
Abstract:To reasonably categorize the 21 floras, several main variables from original ones were selected at first. By principal components analysis, four principal components were selected, which were used as the raw data of the 21 floras to be analyzed by clustering analysis. As a result, these floras were divided into five types: type one was the tropical montane rain forests, which included Wuzhi Mountain, Xishuangbanna, and Gutian where the major types of genus are tropical components; type two was the dry-hot valleys in Yunnan and Sichuan, which notably showed the characteristics of semi-savanna, and the number of tropical genus in these floras accounted for 70.03%; type three included those floras in Guangdong, Fujian, Zhejiang, Jiangxi, Hubei, which had subtropical elements as their main characteristics; type four included those floras in Henan, Shandong, Shaanxi, Shanxi, Hebei, which were all in the middle and lower reaches of the Yellow River and showed certain warm temperate characteristics; type five was the Changbai Mountain, which belonged to typical temperate flora, and was the core of the Changbai Mountain flora.
Keywords:clustering analysis  principal components analysis  flora
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