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排序法在植物群落与环境关系研究中的应用述评
段后浪,赵安,姚忠
江西师范大学地理与环境学院,江西师范大学地理与环境学院,江西省科学院
摘要:
自然环境对植物的影响主要表现在气候、水文、土壤及地形方面。大尺度上,气候类型明显影响植物的带状分布与物种空间格局;中小尺度上,土壤、水文、地形以及三者的交互作用影响植物生长必需的环境与资源条件,并对植物群落物种多样性起决定性作用。多元数量分析是研究植物群落生态关系的重要方法,在揭示植物群落与环境关系方面起到关键作用。排序法作为数量分析的重要手段,经常在植物生态学研究中扮演重要角色,尤其是在植物群落分布以及群落结构方面的应用已形成一种趋势。主要从植物群落分布以及群落结构的角度综述了当今排序法的应用,分析了面临的主要问题,并提出了未来可能发展方向,以期为今后排序方法的选择应用提供参考。
关键词:  数量分析  排序法  植物群落  环境因子
DOI:10.11926/jtsb.3670
分类号:
基金项目:国家自然科学基金项目(81260449);江西省青年科学基金项目(20132BAB214022);江西省教育厅2012 年度科技项目(CJJ12185)资助
Overview of Ordination Methods Application in Relationship between Plant Community and Environment
duanhoulang,ZHAO An and YAO Zhong
School of Geography and Environmental Sciences, Jiangxi Normal University,School of Geography and Environmental Sciences, Jiangxi Normal University,Jiangxi Academy of Sciences
Abstract:
The nature environment affects plants mainly in the aspect of climate, hydrology, soil and terrain. On large scales, climate type obviously affects the zonal distribution and spatial patterns of plant species. On medium and small scales, soil, hydrology, topography and their interaction usually affect the necessary environment and resource condition for plant growth, and even becoming decisive factors on species diversity in plant community. Multivariate quantitative analysis is an important method in researching ecology relationship of plant community, and plays a key role in revealing the relationship between plant community and environment. As a powerful tool of quantitative analysis, ordination methods often play an important role in studying plant ecology, which become a trend in applying to plant community distribution and community structure. The application of ordination methods was reviewed from the angle of plant community distribution and community structure, the main problems were analyzed, and the development direction in future was proposed, so as to provide references for the choice of ordination methods in the future.
Key words:  Quantitative analysis  Ordination methods  Plant community  Environment factor

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