地理学报 ›› 1998, Vol. 53 ›› Issue (3): 256-263.doi: 10.11821/xb199803008

• 论文 • 上一篇    下一篇

典范主分量分析及其在山西植被与气候关系分析中的应用

张金屯   

  1. 山西大学黄土高原地理研究所,太原030006
  • 收稿日期:1996-05-01 修回日期:1997-02-01 出版日期:1998-05-15 发布日期:1998-05-15
  • 基金资助:
    国家教委优秀留学人员基金,山西省自然科学基金

CANONICAL PRINCIPAL COMPONENT ANALYSIS AND ITS APPLICATION TO THE STUDY OF VEGETATION CLIMATE RELATIONSHIPS IN SHANXI, CHINA

Zhang Jintun   

  1. Institute of Loess Plateau Geography, Shanxi University, Taiyuan 030006
  • Received:1996-05-01 Revised:1997-02-01 Online:1998-05-15 Published:1998-05-15
  • Supported by:
    Supported by the Foundation for Excellence Scholors from Abroad and Shanxi Natural Science Foundation

摘要: 排序是植被分析重要手段,大多数排序方法仅使用植被数据。本文引入一个能够同时使用植被数据和环境数据的新方法--典范主分量分析,它能够更好地描述植被与环境之间的关系。我们用该方法研究了山西植被与气候之间的关系,结果清楚地反映了山西植被与气候的地带分布规律及其相互关系,证明其是有效的植被环境关系分析方法。

关键词: 植被地理, 气候, 排序, 典范主分量分析

Abstract: Ordination is a group technique of multivariate analysis and becomes more and more important in vegetation studies. Many ordination methods are available in modern ecology, however most of them analyse vegetation composition data only. A new technique combining vegetation data and its environmental data is presented in this paper. Based on Principal Component Analysis (PCA), this method is named Canonical Principal Component Analysis (CPCA). It combines vegetation data and environmental data by the way of multi regression, similar to that of Canonical Correspondence Analysis (CCA): yj=b0+b1z1j +b2z2j +…+b qz qj where yj is the ordination score of the jth entity (sample); b0, b1, …,bq are constants calculated by linear regression; zij is the value of the ith environmental variable in the jth entity ( i=1,2,…,q,q= the number of environmental variables). CPCA is applied to the study of vegetation climate relationships in Shanxi Province. The outcome illustrates that CPCA describes the relationships between vegetation and climate clearly and is an effective and time saving methodology. The function of PCA is extended in combination with regression. CPCA has advantages in analysis of vegetation environmental relationships compared with PCA, and will be widely used in the future. The results of ordination indicate that the geographical distribution of vegetation in Shanxi province is closely related to ecological gradients, i.e. to climatic variations. Among ecological variables, heat and water conditions are the most important to vegetation distribution, particularly in latitudinal distribution in Shanxi. Climatic factors, such as annual temperature, monthly temperature in January, accumulated temperature, annual precipitation, annual sunshine hours, relative humidity etc. play singificant roles in the formation, development and distribution of vegetation in Shanxi Plateau. This relationship is extremely clear in latitudinal variation in Shanxi Plateau. This relationship is extremely clear in latitudinal variation in Shanxi due to its long distance from the north to the south. However, it is not very obvious in longitudinal direction because of its shorter distance from the east to the west and because of its special topographical conditions.

Key words: Vegetation geography, Climate, Ordination, Canonical principal component analysis

中图分类号: 

  • O223