引用本文:冯亮, 张钦弟, 侯慧敏, 金鑫, 毕润成.山西省石灰岩山地优势种的种间关联性分析及其生态组的划分[J].西南师范大学学报(自然科学版),2019,44(8):51~58
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山西省石灰岩山地优势种的种间关联性分析及其生态组的划分
冯亮, 张钦弟, 侯慧敏, 金鑫, 毕润成
山西师范大学 生命科学学院, 山西 临汾 041004
摘要:
研究了山西省石灰岩山地群落的物种组成及其种间关系,为其植被的恢复提供进一步的理论依据.在对其群落进行样方调查的基础上,采用χ2检验、Pearson相关性检验、Spearman秩相关性检验等数量分析方法,对山西省石灰岩山地中的28个优势种共378对种间关系进行了种间关联性研究,并用聚类分析的方法对其进行了生态种组的划分.结果表明,山西省石灰岩山地群落优势种间大多呈正关联,群落处于较高层次的稳定阶段;在χ2检验、Pearson相关性检验、Spearman秩相关性检验中,种间的正负关联比依次为8,0.8,1.08.依据Pearson相关性检验,采用组间联接的聚类方法,可将28个优势种分为3个生态组,其中最佳组合为生态组Ⅰ,其次为生态组Ⅱ和生态组Ⅲ.
关键词:  石灰岩山地  种间关联  优势种  生态组  聚类分析
DOI:10.13718/j.cnki.xsxb.2019.08.010
分类号:Q948
基金项目:山西省化学优势重点学科建设生态化学子项目(912019).
Analysis of Interspecies Correlation and Ecological Group of Dominant Species in Shanxi Province Limestone Area
FENG Liang, ZHANG Qin-di, HOU Hui-min, JIN Xin, BI Run-cheng
College of life Sciences, Shanxi Normal University, Linfen Shanxi 041004, China
Abstract:
In this text, the species composition and interspecific relationship of limestone mountain biocoenosis in Shanxi Province have mainly been researched to provide further theoretical basis for vegetation restoration. Based on the quadrat survey to the biocoenosis, adopting quantitative analysis methods such as 2 test method, Pearson correlation coefficient, Spearman rank correlation coefficient, etc, an interspecific association research has been conducted on 28 dominant species, totally 378 species pairs, and cluster analysis used to divide them into ecological species groups. The research shows that the dominant species of limestone mountain biocoenosis in Shanxi Province are mostly positive association, and the biocoenosis is in a stabilization sub stage of higher level. In χ2 test, Pearson correlation coefficient and Spearman rank correlation coefficient, positive and negative relevance ratio of the inter-species is 8, 0.8, 1.08 in sequence. According to Pearson relativity test, by using clustering method of connection between groups, 28 dominant species can be divided into 3 ecological species groups, and the best combination for Ⅰ ecological groups, followed by ecological groups Ⅱ and ecological Ⅲ.
Key words:  limestone mountain  interspecific association  dominant species  ecological species group  cluster analysis
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