| 辽西乡镇域耕地土壤中微量元素的空间变异性分析 |
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| 引用本文： | 李广,王振营,刘作新,武玉峰,司鹏飞,刘永光,李淑芬.辽西乡镇域耕地土壤中微量元素的空间变异性分析[J].土壤通报,2011(2):372-377. |
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| 作者姓名： | 李广 王振营 刘作新 武玉峰 司鹏飞 刘永光 李淑芬 |
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| 作者单位： | 辽宁省农业科学院;中国科学院沈阳应用生态研究所;辽宁省水利水电科学研究院; |
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| 基金项目： | 十一五国家科技支撑计划(2008BADA4B06)资助 |
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| 摘 要： | 以辽西阜新县建设镇为研究区域,采用传统统计学和地统计学相结合的方法,对该区域内耕地中微量元素的含量和空间变异特征以及克立格空间插值进行研究,结果表明:土壤中Zn元素变异系数最大,为70%,Ca和Cu居中,变异系数分别为58.81%和56.36%,Mn变异系数最小,为10.78%;高程与土壤各养分均呈负相关性,其中Mg、Fe和Mn、Zn、Cu元素分别与高程表现为显著和极显著的负相关;除Zn以外,其余各元素的块金值与基台值之比皆小于0.25,分别表现为中等空间相关性和高度空间相关性;插值结果表明,Cu在东南部富集,Zn由东北向西南呈现明显的阶梯变化趋势,其它个元素空间差异不大。
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| 关 键 词： | 耕地土壤 中微量元素 空间变异 地统计学 传统统计学 |
Analysis on spatial heterogeneity of moderate microelement in cultivated soils of rural town of western Liaoning |
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| LI Guang ,WANG Zhen-ying ,LIU Zuo-xin ,WU Yu-feng ,SI Peng-fei ,LIU Yong-guang ,LI Shu-fen.Analysis on spatial heterogeneity of moderate microelement in cultivated soils of rural town of western Liaoning[J].Chinese Journal of Soil Science,2011(2):372-377. |
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| Authors: | LI Guang WANG Zhen-ying LIU Zuo-xin WU Yu-feng SI Peng-fei LIU Yong-guang LI Shu-fen |
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| Institution: | LI Guang 1,WANG Zhen-ying 2,LIU Zuo-xin 2,WU Yu-feng 3,SI Peng-fei 1,LIU Yong-guang 1,LI Shu-fen 1(1.Liaoning Academy of Agricultural Sciences,Shenyang 110161,China,2.Shengyang Institute of Applied Ecology,The Chinese Academy of Sciences,Shenyang 110016,3.Liaoning Institute of Water Resources and Hydropower Research,Shenyang 110003,China) |
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| Abstract: | The traditional statistics and geostatistics method were combined to be used to investigate the soil moderate microelement content,spatial variability characteristics and spatial interpolation by use the method of Kriging in cultivated soil of Fuxin in the western town of Liaoning.The results showed that coefficients of variation of Zn is the greatest among all,which is 70%,Ca,Cu are placed in the middle with 58.81% and 56.36%,the coefficients of variation of Mn is the smallest,which is only 10.78%;there is... |
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| Keywords: | cultivated soils moderate microelement spatial variability geostatistics method traditional statistics |
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