| 吉林典型黑土区土壤中养分的空间变异研究 |
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| 引用本文： | 赵月玲,王颜国,韩海燕,陈桂芬.吉林典型黑土区土壤中养分的空间变异研究[J].中国农机化,2012(2):72-75. |
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| 作者姓名： | 赵月玲 王颜国 韩海燕 陈桂芬 |
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| 作者单位： | 吉林农业大学;沈阳东软长春分公司;长春大学 |
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| 基金项目： | 国家863项目(2006AA10A309);国家星火计划(2008GA661003);国家支撑项目(2006BAD02A10-6-6);国家农业部公益性行业科研专项(200803037) |
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| 摘 要： | 为使农民对现有土地的养分状况一目了然,有效利用土壤和保护耕地环境,促进农业可持续发展。运用GIS和地统计学相结合的方法研究了吉林典型黑土区土壤中的碱解氮,速效磷,速效钾的空间变异特征。结果表明碱解氮肥,速效磷,速效钾的变异系数在9%~49%,速效磷的变异系数最大为49%;通过地统计学半方差函数分析,碱解氮肥,速效磷,速效钾的空间变异性表现朝均一化方向发展,它们都具有中等空间相关性。有效磷的空间相关性最弱,主要原因是磷在土壤有难移动的特性和一些随机因素的影响。用户可以根据空间变异图的特点实行分区管理和因地施肥。
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| 关 键 词： | 地统计学 土壤养分 空间变异 空间分析 |
Study on Soil Nutrients Spatial Variability in Typical Maize Fields of Jilin |
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| ZHAO Yue-ling,WANG Yan-guo,HAN Hai-yan,CHEN Gui-fen.Study on Soil Nutrients Spatial Variability in Typical Maize Fields of Jilin[J].Chinese Agricul Tural Mechanization,2012(2):72-75. |
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| Authors: | ZHAO Yue-ling WANG Yan-guo HAN Hai-yan CHEN Gui-fen |
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| Institution: | 1(1.Jilin Agricultural University,Changchun,Jilin,130118,China;2.Subsidiary of Neusoft Corporation Changchun,Jilin,130022,China;3.Changchun University,Changchun,Jilin,130022,China) |
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| Abstract: | In order to help farmers to understand land that they have,use effectively the soil and conserver our pollution,the study was strated.Geostatistics combined with GIS were applied to analyze the spatial-temporal variability of soil nutrients such as available nitrogen,available phosphorus and available potassium in Jilin province.The results showed that available nitrogen,available phosphorus and available potassium in the coefficient of variation were from 9% to 49%,and the largest coefficient of variation of available phosphorus was 49%.By Semivariance function of statistical analysis,available nitrogen,available phosphorus and available potassium showed the medium level of space-related.The relevance of space about available phosphorus was the weakest,which was effected mainly by random factors.So the management and fertilizer according the spatial variability of different area may implement. |
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| Keywords: | geostatistics soil nutrients spatial variability statistical analysis |
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