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长白山劲松林场植物群落的分类和排序
引用本文:翟永华,刘海棠.长白山劲松林场植物群落的分类和排序[J].应用生态学报,1995,6(3):237-242.
作者姓名:翟永华  刘海棠
作者单位:中国科学院沈阳应用生态研究所,吉林省白河林业局
基金项目:中国科学院长白山森林生态系统开放研究站基金
摘    要:将长白山白河林业局劲松林场的54块样地用聚类分析法划分成6个植被类群,再用PC-VTAB程序中经过改进的Braun-Blanquet学派的植被排表分析法进行综合,产生了鉴别概要表,为各个等级的植被类群筛选出诊断种。此外,还用鉴别种地样地记录进行主成分分析,以验证诊断种的有效性,结果表明,PC-VTAB中的植被排表分析法是筛选鉴别种的有效方法,而鉴别种以显著地提高植被分析和排序的质量。

关 键 词:植物群落  植被排表分析法  鉴别种  分类  排序

Classification and ordination of plant communities in Jingsong Forestry Farm,Changbai Mountain
.Zhai Yonghua,Wang Qingli,Yu Zhenliang,Dai Limin and Zhao Shidong.Classification and ordination of plant communities in Jingsong Forestry Farm,Changbai Mountain[J].Chinese Journal of Applied Ecology,1995,6(3):237-242.
Authors:Zhai Yonghua  Wang Qingli  Yu Zhenliang  Dai Limin and Zhao Shidong
Abstract:Based on cluster analysis, 54 sample plots surveyed in Jingsong Forestry Farm, ChangbaiMountian are classified into 6 vegetation groups. Then, by means of an modified Braun Blanquet vegetation tabular analysis presented in computer programs, PC-VTA13, a diagnostic summary table is obtained and diagnostic species are determined for each group. Inaddition,to evaluate the efficiency of diagnostic species, a principal component analysis(PCA) is conducted using the available diagnostic species. It is proved that vegetationtabular analysis in PC-VTAB is an efficient way to select diagnostic species, and diagnostic species can significantly imporve the classfication and ordination of plant communities.
Keywords:Plant  Communities  Vegetation tabular analysis  Diagnostic species  PCA  
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