欢迎访问《植物研究》杂志官方网站,今天是 分享到:

植物研究 ›› 2013, Vol. 33 ›› Issue (1): 98-103.doi: 10.7525/j.issn.1673-5102.2013.01.016

• 论文 • 上一篇    下一篇

用灰关联法分析环境因子对辛安泉泉溪大型藻类的影响

胡变芳1,2;谢树莲1*   

  1. 1.山西大学生命科学与技术学院,太原 030006;2.晋中学院生物科学与技术学院,晋中 030600
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2013-01-20 发布日期:2013-01-20
  • 通讯作者: 谢树莲
  • 基金资助:
     

Determination of Effects of Environmental Factors on Stream Macroalgae in Xin’an Spring by Grey Correlation Analysis

HU Bian-Fang;XIE Shu-Lian*   

  1. 1.School of Life Science, Shanxi University, Taiyuan 030006;2.Department of Biology, Jinzhong University, Jinzhong 030600
  • Received:1900-01-01 Revised:1900-01-01 Online:2013-01-20 Published:2013-01-20
  • Contact: XIE Shu-Lian
  • Supported by:
     

摘要: 研究了环境因子对辛安泉泉域泉溪大型藻类的影响。2009年7月~2010年4月对标本进行了4次采集(每个季节一次),对每个采样点的环境因子水温,pH,电导,溶氧,流速,水体最大深度和宽度进行了监测和记录,同时对标本进行了显微观察和鉴定。经鉴定,该泉域共有大型藻类植物42种。采用灰关联分析法分析了以上环境因子对泉溪大型藻类植物种类数的影响。结果表明,影响的关键因子为水温和流速。分析结果与前人文献相一致。因此,表明将灰关联分析法应用于藻类生态环境研究方面是可行的。

关键词: 环境因子, 泉溪大型藻类, 灰关联分析法

Abstract: The effects of environmental factors on stream macroalgae were investigated. Data were collected from July 2009 to April 2010 from Xin’an Spring, Shanxi Province, north China. The environmental variables consisted of water temperature, pH, specific conductance, dissolved oxygen, surface current velocity, maximum depth and width. Fortytwo species of stream macroalgae were identified in this spring. The correlation between these seven environmental factors and the number of stream macroalgal species were determined using grey correlation analysis. The results showed that water temperature and current velocity were the key factors affecting the number of stream macroalgae. This result was consistent with previous studies. Therefore, it indicated that the grey correlation analysis can be used in the study of algal ecological environment.

Key words: environmental factors, stream macroalgae, grey correlation analysis

中图分类号: