| 耕地土壤中交换态钙镁铁锰铜锌相关关系研究 |
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| 引用本文： | 姜勇,张玉革,梁文举,闻大中.耕地土壤中交换态钙镁铁锰铜锌相关关系研究[J].生态环境,2003,12(2):160-163. |
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| 作者姓名： | 姜勇 张玉革 梁文举 闻大中 |
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| 作者单位： | 1. 中国科学院沈阳应用生态研究所,辽宁,沈阳,110016
2. 沈阳市农业技术推广站,辽宁,沈阳,110034 |
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| 基金项目： | 国家高技术研究发展计划重大课题项目(2001AA246021) |
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| 摘 要： | 应用主成份分析、聚类分析和相关性分析对沈阳市郊区1994个耕地土壤样本(0-20cm)的交换态钙、镁、铁、锰、铜、锌含量进行研究，结果表明，影响钙与镁、铁与锰、铜与锌分布的主因子分别在相同的主成份组中，钙与镁、铁与锰、铜与锌之间的相关系数较大，铁、锰、铜、锌之间均为极显著正相关关系，钙与铁、锰、铜、锌均为负相关关系，说明元素的生物地球化学属性对其地理分布有较大的影响。
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| 关 键 词： | 耕地土壤 钙 镁 铁 锰 铜 锌 主成份分析 聚类分析 相关性分析 |
| 文章编号： | 1672-2175(2003)02-0160-04 |
| 修稿时间： | 2002年10月28 |
Correlations of exchangeable Ca, Mg, Fe, Mn, Cu and Zn in cultivated soils |
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| JIANG Yong,ZHANG Yu-ge,LIANG Wen-ju,WEN Da-zhong : Institute of Applied Ecology,Chinese Academy of Sciences,Shenyang ,China, : Shenyang Agro-technique Extension and Service Center,Shenyang ,China.Correlations of exchangeable Ca, Mg, Fe, Mn, Cu and Zn in cultivated soils[J].Ecology and Environmnet,2003,12(2):160-163. |
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| Authors: | JIANG Yong ZHANG Yu-ge LIANG Wen-ju WEN Da-zhong : Institute of Applied Ecology Chinese Academy of Sciences Shenyang China : Shenyang Agro-technique Extension and Service Center Shenyang China |
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| Institution: | JIANG Yong1,ZHANG Yu-ge2,LIANG Wen-ju1,WEN Da-zhong1 1: Institute of Applied Ecology,Chinese Academy of Sciences,Shenyang 110016,China, 2: Shenyang Agro-technique Extension and Service Center,Shenyang 110034,China |
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| Abstract: | The distribution of exchangeable Ca, Mg, Fe, Mn, Cu and Zn content of up to 1994 samples in top soil (0~20 cm) in cultivated soils of Shenyang suburbs, Liaoning, China, was studied by the methods of principal component analysis, cluster analysis and correlation analysis. Principal factors affecting the distribution of Ca and Mg, Fe and Mn, and Cu and Zn are in three different groups respectively; correlation coefficients between Ca and Mg, Fe and Mn, and Cu and Zn are comparatively large, and that between Fe, Mn, Cu and Zn are positive at the 0.01 level; while Ca is negatively correlated with Fe, Mn, Cu and Zn, which indicates that geobiochemical properties of these elements have strong influences on their geographic distributions. |
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| Keywords: | soil nutrient principal component analysis cluster analysis correlation |
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