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基于DCA-TTLQV的云顶山亚高山草甸群落格局分析
引用本文:李素清,李斌,张金屯. 基于DCA-TTLQV的云顶山亚高山草甸群落格局分析[J]. 草业学报, 2006, 15(6): 44-48
作者姓名:李素清  李斌  张金屯
作者单位:山西大学分子科学研究所,山西,太原,030006;太原师范学院地理系,山西,太原,030012;中北大学化工与环境学院,山西,太原,030051;北京师范大学生命科学学院,北京,100875
基金项目:国家自然科学基金项目(30070140),山西省自然科学基金项目(20031043)资助
摘    要:应用除趋势对应分析(DCA)与双项轨迹方差法(TTLQV)相结合的方法,对云顶山亚高山草甸群落格局进行分析。结果表明,在亚高山草甸群落格局分析中,这2种方法的结合可以成功地揭示群落的特征。披针苔草 车前群系、披针苔草 蒲公英群系和嵩草 车前群系的格局差异明显,随着海拔的升高,草甸群落的格局规模增大,群落分布格局不仅受优势种的生物学特性影响,还受环境因子制约,结果很好的揭示了云顶山亚高山草甸群落的结构特征。

关 键 词:云顶山  亚高山草甸  群落  格局分析
文章编号:1004-5759(2006)06-0044-05
收稿时间:2005-08-28
修稿时间:2005-08-28

Community pattern analysis of a subalpine meadow community based on DCA in Yunding Mountain, Shanxi
LI Su-qing,LI Bin,ZHANG Jin-tun. Community pattern analysis of a subalpine meadow community based on DCA in Yunding Mountain, Shanxi[J]. Acta Prataculturae Sinica, 2006, 15(6): 44-48
Authors:LI Su-qing  LI Bin  ZHANG Jin-tun
Affiliation:1. Institute of Molecular Science, Shanxi University, Taiyuan 030006, China;2. Geography Department, Taiyuan Normal University, Taiyuan 030012, China;3. Chemical Industry and Ecology Institute, North University of China, Taiyuan 030051, China;4. College of Life Science, Beijing Normal University, Beijing 100875, China
Abstract:The detrended correspondence analysis(DCA) ordination technique combining two-term local quadrat variance(TTLQV) method was used for community pattern analysis of a subalpine meadow community on Yunding Mountain,Shanxi.The results showed that the combined application of these two methods can successfully reveal community structure in the pattern analysis of a subalpine meadow community.The patterns of form.Carex lanceolata Plantago asiaticadepressa,form Carex lanceolata Taraxacum mongolicum,and form Kobresia bellardii Plantago asiaticadepressa were significantly different from each other.The scale of the pattern gradually increased with increased elevation.The community pattern of subalpine meadow was not only related to the biological characteristics of dominant species,but was also affected by environmental factors.The results also successfully reveal the characteristics of community structure of subalpine meadow on Yunding Mountain.
Keywords:Yunding Mountain  subalpine meadow  community  pattern analysis
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