摘要
根据新疆艾比湖湿地植物群落样方调查的存在-缺失数据,应用主成分分析和聚类分析方法研究了湿地内多物种关联性以及生态种组分类。与传统的成对物种关联分析方法相比较,基于多元分析框架的多物种关联分析和种组分类结果更为可靠、有效;艾比湖湿地的主要植物种划分为3个生态种组,各生态种组内的植物种之间具有相似的生境和生态位。结合统计分析结果与实地调查发现,艾比湖湿地植物种间的正、负关联性以及生态种组的划分主要由植物对水分和盐分生境因素的适应性决定。从多物种关联性和生态种组角度考虑艾比湖湿地生态恢复和保护植物多样性更具有实践价值。
Based on the presence-absence data from the investigation of the plant communities in Ebinur Lake wetland of Xinjiang,and by the methods of principal component analysis and cluster analysis,this paper studied the multiple interspecific associations and ecological species groups of the main plant species in the wetland.Compared with conventional paired-comparison framework,multiple comparison frameworks were more objective and effective.The main plant species in the wetland were divided into three main ecological species groups,and the plant species within each ecological species group possessed the similar habitats and ecological niches.According to the statistical analysis,and combining with the field survey,it was observed that the positive or negative associations between the main plant species and the division of the ecological species groups in Ebinur Lake wetland were mainly dependent on the adaptability of the plants to the habitat factors water and salt.It was more practical for the wetland ecological restoration and plant diversity protection from the view of multiple interspecific association and ecological species group,instead of a single species.
出处
《生态学杂志》
CAS
CSCD
北大核心
2011年第12期2713-2718,共6页
Chinese Journal of Ecology
基金
国家自然科学基金项目(31060061)
新疆大学绿洲生态自治区(教育部省部共建)重点实验室开放课题经费项目(XJDX0206-2010-05)
新疆财经大学校级课题项目(08XYB006)资助
关键词
种间关联
Pearson相关系数
主成分分析
聚类分析
生态种组
艾比湖湿地
interspecific association
Pearson's correlation coefficient
principal component analysis
cluster analysis
ecological species group
Ebinur Lake wetland.