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植物研究 ›› 2006, Vol. 26 ›› Issue (1): 109-116.doi: 10.7525/j.issn.1673-5102.2006.01.023

• 论文 • 上一篇    下一篇

上海市蕨类植物分布特点及其与环境因子关系分析

宋国元;曹 同;陈 怡;柳 俊   

  1. 上海师范大学生命与环境科学学院,上海 200234
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-01-20 发布日期:2006-01-20
  • 通讯作者: 宋国元
  • 基金资助:
     

Analysis of distribution and its relationships to the environmental factors of the ferns in Shanghai

SONG Guo-Yuan;CAO Tong;CHEN Yi;LIU Jun   

  1. Life & Environmental Science College, Shanghai Normal University, Shanghai 200234
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-01-20 Published:2006-01-20
  • Contact: SONG Guo-Yuan
  • Supported by:
     

摘要: 在查阅资料和标本基础上,对上海市33个样地蕨类植物进行了野外调查,初步确定了上海市自然分布的蕨类植物23科31属50种,并讨论了归化种与栽培种及曾有记录而可能消亡的种类。采用双向指示种法(TWINSPAN)和典范对应分析(CCA)方法对蕨类植物分布特点及其与环境因子关系进行了分析。结果表明:(1)蕨类分布的样点可分为3组,第1组为市区样点,种数为0~4种;第2组为市郊样点,种数为0~8种;第3组为佘山岛、佘山地区、大金山岛,是上海蕨类最丰富地区,种数达26种以上。(2)影响上海蕨类植物生长的主要环境因子为基质、郁闭度和人为干扰。

关键词: 上海, 蕨类植物, 分布特点, 环境因子

Abstract: On the basis of checking literature and the specimens concerned, and the field working of the ferns in 33 sample sites in Shanghai, 50 species of the naturally distributed ferns belonging to 23 families, 33 genera have been recognized. The introduced and cultivated species and the species that might be extinct have been discussed. Two-way Indicator Species Analysis (TWINSPAN) and Canonical Correspondence Analysis (CCA) were used to analyse the relationships between the distributions and its environmental factors of the ferns. The results showed that 3 groups of sites could be identified: group 1 including the sites at center of the city has 0 to 4 species; group 2 including the sites at suburb of the city has 0 to 8 species; group 3 including She Mountain Island, She Mountain area and Da Jin Mountain Island with more than 26 species are the areas which have the most rich diversity of fern. The results reflected that habit, coverage and disturbance are main environmental factors for the fern growth in Shanghai.

Key words: Shanghai, ferns, distributional features, environmental factors

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