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应用生态学报 ›› 1995, Vol. 6 ›› Issue (3): 237-242.

• 研究论文 • 上一篇    下一篇

长白山劲松林场植物群落的分类和排序

翟永华1, 王庆礼1, 于振良1, 戴力民1, 赵士洞1, 刘海棠2, 范竹华2, 李秋林2, 李金浦2   

  1. 1. 中国科学院沈阳应用生态研究所, 沈阳 110015;
    2. 吉林省白河林业局, 二道白河 133613
  • 收稿日期:1995-04-17 修回日期:1995-05-18 出版日期:1995-07-25 发布日期:1995-07-25
  • 基金资助:

    中国科学院长白山森林生态系统开放研究站基金

Classification and ordination of plant communities in Jingsong Forestry Farm,Changbai Mountain

Zhai Yonghua1, Wang Qingli1, Yu Zhenliang1, Dai Limin1, Zhao Shidong1   

  1. Institute of Applied Ecology, Academia Sinica, Shenyang 110015
  • Received:1995-04-17 Revised:1995-05-18 Online:1995-07-25 Published:1995-07-25

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-VTA13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,还用鉴别种对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,而鉴别种能显着地提高植被分类和排序的质量。

关键词: 植物群落, 植被排表分析法, 鉴别种, 主成分分析

Abstract: Based on cluster analysis, 54 sample plots surveyed in Jingsong Forestry Farm, Changbai Mountian are classified into 6 vegetation groups.Then, by means of an modified Braun Blanquet vegetation tabular analysis presented in computer programs, PC-VTAB, 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.

Key words: Plant Communities, Vegetation tabular analysis, Diagnostic species, PCA