| Spatial variability and contributing factors of soil available micronutrients at county level——A case study at Xushui County |
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| DOI：10.7606/j.issn.1000-7601.2016.01.12 |
| Key Words: soil micronutrients spatial variability geostatistics |
| Author Name | Affiliation | | ZHANG Xiao-tong | The Department of Foundation Courses, Agricultural University of Hebei, Cangzhou, Hebei 061100, China | | ZHAGN Rui-fang | National Engineering Research Center for Agriculture in Northern Mountainous Areas, Baoding, Hebei 071001, China；Agricultural Engineering Technology Research Center of Hebei Province mountain, Baoding, Hebei 071001, China | | WANG Hong | National Engineering Research Center for Agriculture in Northern Mountainous Areas, Baoding, Hebei 071001, China；Agricultural Engineering Technology Research Center of Hebei Province mountain, Baoding, Hebei 071001, China | | ZHANG Ai-jun | National Engineering Research Center for Agriculture in Northern Mountainous Areas, Baoding, Hebei 071001, China；Agricultural Engineering Technology Research Center of Hebei Province mountain, Baoding, Hebei 071001, China | | ZHOU Da-mai | National Engineering Research Center for Agriculture in Northern Mountainous Areas, Baoding, Hebei 071001, China；Agricultural Engineering Technology Research Center of Hebei Province mountain, Baoding, Hebei 071001, China |
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| Abstract: |
| In this paper, we followed the method of combining GIS (geographical information system) and geostatistics to analyze the spatial variability and contributory factors of four available micronutrients in soils. The results showed that available Cu, Zn, Fe and Mn exhibited moderate spatial variations. The nugget effect values of these micronutrients varied between 12% and 50%, with Cu and Fe showing the highest while Mn and Zn moderate. A continuous distribution pattern was detected for Cu and Mn but not for Zn and Fe. Average content of Cu was high, while the other micronutrients were medium. Soil nutrients including organic matter, available nitrogen, available phosphorus and available potassium had highly significant positive correlations with Cu、Zn and Mn. The soil pH had negative correlation with the four micronutrients, with Fe the most significant. |
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