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运用模糊排序研究露天矿区人工植被土壤主要化学成分的变化
引用本文:张桂莲,张金屯,郭逍宇.运用模糊排序研究露天矿区人工植被土壤主要化学成分的变化[J].北京林业大学学报,2004,26(6):30-35.
作者姓名:张桂莲  张金屯  郭逍宇
作者单位:中国科学院华南植物研究所;北京师范大学生命科学学院;首都师范大学资源环境与地理信息系统重点实验室
基金项目:国家自然科学基金 , 国家科技攻关项目
摘    要:该文应用模糊数学排序方法,对矿区样地土壤中主要化学成分和植被数据进行直接梯度分析,探讨矿区土壤环境与植被分布格局及植被动态的相互关系.结果表明通过FSO多因子排序分析,在时间梯度上,土壤中有机质、N、P、K和Zn的含量随着演替时间的增加而逐渐增高,结合双因子排序分析结果得出,土壤中有机质含量与植物的分布格局重要相关,N、P、K和Zn在土壤中的含量也随着复垦时间而发生变化.而土壤pH值、电导率及Cu、Mn的含量随时间的变化规律不十分明显,说明这几种化学成分不是影响植物分布与发展演变的主要因子.模糊数学排序与DCA、DCCA结合使用,可以直观地得出多个环境因子与植物群落之间的关系.

关 键 词:人工植被  土壤化学成分  模糊数学排序

Primary chemical composition variation in soil of artifical vegetation in open mine by fuzzy set ordination
ZHANG Guilian,ZHANG Jintun,GUO Xiaoyu. South China Institute of Botany,Chinese Academy of Sciences,Guangzhou,P.R.China..Primary chemical composition variation in soil of artifical vegetation in open mine by fuzzy set ordination[J].Journal of Beijing Forestry University,2004,26(6):30-35.
Authors:ZHANG Guilian  ZHANG Jintun  GUO Xiaoyu South China Institute of Botany  Chinese Academy of Sciences  Guangzhou    PRChina
Institution:ZHANG Guilian,ZHANG Jintun,GUO Xiaoyu. South China Institute of Botany,Chinese Academy of Sciences,Guangzhou,510650,P.R.China.
Abstract:Fuzzy set ordination (FSO) technique was applied to analyze the data of primary soil chemical composition and vegetation from samples in Antaibao Mine in Pingshuo area and discuss the interrelation among environment of mine, distribution pattern and dynamic of vegetation. Firstly, FSO diagram for time of 63 quadrats can reflect directly the relationship between plant communities and environmental factors, but there is not enough identified information in this diagram so that the similar communities form an intersection, such as communities 4 and 5. Secondly, in order to gain better result the authors choose the content of organic matter as another environmental factor to compute FSO. As a result, the borderline between communities is clearer in FSO diagram for time and organic matter of 63 quadrats than in FSO diagram for time of 63 quadrats. From this diagram we can know clearly that the content of organic increases with succession time and the soil humidity distributes regularly. Finally, the authors compute the FSO for 6 environmental variables of 63 quadrats such as time, organic matter, N, P, K and Zn and for 5 environmental variables of 63 quadrats such as time, pH, conductivity, Cu and Mn. The former reflects that the contents of organic matter, N, P, K and Zn increase with succession time. Combined with the result of double factors FSO, the results of 6 factors show that the contents of soil organic matter are correlated with distribution pattern of communities evidently. The latter does not reflect the obvious rule and showes that they are not the important factors affecting the distribution and evolvement of vegetation. Combined with DCA, DCCA, FSO can reflect the relationship between several factors and communities directly.
Keywords:artifical vegetation  soil chemical composition  fuzzy set ordination(FSO)
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