摘要
在野外样方调查的基础上,采用χ2检验和Spearman秩相关分析方法,研究了七里海湿地40种主要植物,共780个种对间关联和相关关系。χ2检验结果有357个种对呈正相关,423个种对呈负相关;Spearman秩相关分析检验结果有356个种对呈正相关,有424个种对呈负相关。二者结果一致,与χ2检验相比,Spearman秩相关分析法更为灵敏。七里海湿地主要植物种具有显著相关性的种对数(279对)占总种对数(780对)的比例较低,为35.77%,说明大多数种间关系松散,种对间的独立性较强,植被可能处于退化状态。40个主要植物种可以划分为3个生态种组,各生态种组内的种有相似的资源利用方式和生态要求,各种组间有相互转化和演替的趋势。
Based on the data resources investigated from the field, the interspecific relationships among 780 species pairs, which belong to 40 dominant plant species of Qilihai wetland vegetation were analyzed by using methods of x2-test and Spearman's rank correlation analysis. The results showed that. (1) Analyzed by 2 test, there were positive correlation for 357 pair-species and negative correlation for 423 pair-species. (2) By applying Spearman's rank correlation analysis, there were positive correlations for 356 pair-species and nega- tive correlations for 424 pair-species Analyzed by. It clearly demonstrated that the 2 test methods derived similar results. Compared with E2-test, Spearman's correlation coefficient was more sensitive. The proportion of significant correlated species pair was 35.77%, which indicated that most of the species were independently distributed and had a loose relationship with each other. This further indicated that the vegetation might be in a state of degradation. The 40 dominant species were divided into 3 ecological species groups. Species in the same ecological species group had the same way of resources utilization and biology require- ment. However, we observed that species belonging to different groups had the trend of succession and transform into each other.
出处
《水土保持通报》
CSCD
北大核心
2014年第4期70-75,共6页
Bulletin of Soil and Water Conservation
基金
国家自然科学基金项目"低碳理念下基于人工智能的城市空间结构热岛效应模拟预测"(51278330)
天津市自然科学基金重点项目(11JCZDJC24500)
关键词
七里海湿地
植物群落
种间关联
生态种组
Qilihai wetland
plant community
interspecific association
ecological species group