植物生态学报 ›› 2009, Vol. 33 ›› Issue (5): 842-851.DOI: 10.3773/j.issn.1005-264x.2009.05.002

• 研究论文 • 上一篇    下一篇

协惯量分析与典范对应分析在植物群落排序中的应用比较

张斌, 张金屯*(), 苏日古嘎, 张钦弟, 程佳佳, 田世广   

  1. 北京师范大学生命科学学院,北京 100875
  • 收稿日期:2009-04-03 修回日期:2009-06-21 出版日期:2009-04-03 发布日期:2009-09-30
  • 通讯作者: 张金屯
  • 作者简介:*(zhangjintun@yahoo.com.cn,Zhangjt@bnu.edu.cn)
  • 基金资助:
    国家自然科学基金(30870399)

A COMPARISON OF CO-INERTIA ANALYSIS AND CANONICAL CORRESPONDENCE ANALYSIS IN PLANT COMMUNITY ORDINATION

ZHANG Bin, ZHANG Jin-Tun*(), Suriguga, ZHANG Qin-Di, CHENG Jia-Jia, TIAN Shi-Guang   

  1. College of Life Sciences, Beijing Normal University, Beijing 100875, China
  • Received:2009-04-03 Revised:2009-06-21 Online:2009-04-03 Published:2009-09-30
  • Contact: ZHANG Jin-Tun

摘要:

采用协惯量分析(PCA-CA COIA)和典范对应分析(CCA)两种排序方法, 对北京小龙门林场的黄檗 (Phellodendron amurense)群落进行了分析, 并用Spearman秩相关系数检验了对应排序轴的相关性。两种排序方法得出的结果基本一致, 两者的第一排序轴都反映了海拔高度和坡向对群落分布的影响, 而各自第二、第三排序轴所代表的环境意义有所差异, 并出现了交叉, 但是两者的前3个排序轴均反映了海拔、坡位、土壤厚度和凋落物层厚度的变化趋势, 说明在环境因子个数较少或共线性效应不明显的情况下, 协惯量分析也能达到CCA的分析效果, 并且在排序轴特征值解释量上高于典范对应分析。

关键词: 排序, 协惯量分析, 典范对应分析, 黄檗

Abstract:

Aims Co-inertia analysis is infrequently used when there are few environmental variables or little collinearity among them. Ecologists usually prefer the widely used canonical correspondence analysis. Our objective was to compare the results of co-inertia analysis and canonical correspondence analysis in the ordination of a plant community in a habitat represented by few environmental variables.
Methods We compared the results of PCA-CA co-inertia analysis (PCA-CA COIA) and canonical correspondence analysis (CCA) ordination of a Phellodendron amurense community in Xiaolongmen woodland, Beijing, China. The correlation of corresponding ordination axes of two methods was measured by Spearman’s rho correlation.
Important findings PCA-CA COIA and CCA produced mostly consistent results. Both first axes were correlated with elevation, whereas the second axis of PCA-CA COIA corresponded to the third axis of CCA and the third axis of CCA corresponded to the second axis of PCA-CA COIA. The first three axes of both methods were significantly correlated with elevation, slope position, soil thickness and litter layer thickness. The eigenvalues of the ordination axes and the cumulative percentage variance of species-environment relation in PCA-CA COIA were higher than that in CCA.

Key words: ordination, co-inertia analysis (COIA), canonical correspondence analysis (CCA), Phell-odendron amurense