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毕节市耕地土壤pH的空间变异特征与影响因素
引用本文:王亚男,徐梦洁,代圆凤,符德龙,黄化刚,陈 雪,庄舜尧.毕节市耕地土壤pH的空间变异特征与影响因素[J].土壤,2018,50(2):385-390.
作者姓名:王亚男  徐梦洁  代圆凤  符德龙  黄化刚  陈 雪  庄舜尧
作者单位:南京农业大学公共管理学院,南京农业大学公共管理学院,贵州省烟草公司毕节市分公司,贵州省烟草公司毕节市分公司,贵州省烟草公司毕节市分公司,贵州省烟草公司毕节市分公司,中国科学院南京土壤研究所
基金项目:毕节市烟草公司科技项目(2015)资助
摘    要:为了探讨耕地土壤pH的空间变异及影响因素,以贵州省毕节市为研究区域,开展了耕地土壤pH的实地监测调查,获取了各监测点的空间位置和属性数据。结合地统计学和GIS方法,探讨了耕地土壤pH的空间变异特征。结果表明:毕节市0~10 cm层耕地土壤pH分布于5.12~9.20,土壤pH最优插值模型:趋势指数为1,插值模型为有理二次方程式,块金值与基台值之比为65.10%,表现出中等的空间相关性,说明结构性因素(自然因素)对0~10 cm层耕地土壤pH影响较大。在不同母质中,耕地土壤pH从小到大为:基性岩类、砂页岩类、河流冲积物、碳酸盐岩类、紫色岩类、泥质岩类、石英岩类。在不同土壤类型中,耕地土壤pH由小到大为:6.29、6.83、7.07、7.17、8.20,对应土壤类型分别为:石灰土、黄壤、黄棕壤、紫色土、棕壤。与地形的相关分析表明,耕地土壤pH与高程、坡度、坡向分别为中等相关、弱相关、中等相关。总的来说,耕地土壤pH受结构性因素(自然因素)和人为因素影响的共同作用。

关 键 词:变异系数  空间分布  克里格插值  土壤pH
收稿时间:2017/3/7 0:00:00
修稿时间:2017/4/9 0:00:00

Spatial Characteristics and Influential Factors of Arable Soil pH in Bijie, Guizhou
WANG Yanan,XU Mengjie,DAI Yuanfeng,FU Delong,HUANG Huagang,CHEN Xue and ZHUANG Shunyao.Spatial Characteristics and Influential Factors of Arable Soil pH in Bijie, Guizhou[J].Soils,2018,50(2):385-390.
Authors:WANG Yanan  XU Mengjie  DAI Yuanfeng  FU Delong  HUANG Huagang  CHEN Xue and ZHUANG Shunyao
Institution:College of Public Administration,Nanjing Agriculture University,College of Public Administration,Nanjing Agriculture University,Bijie Brach of Guizhou Tobacco Company,Bijie Brach of Guizhou Tobacco Company,Bijie Brach of Guizhou Tobacco Company,Bijie Brach of Guizhou Tobacco Company,State Key Lab of Soil and Sustainable Agriculture,Institute of Soil Science,Chinese Academy of Science
Abstract:It is important to explore soil pH variation and its influence factors of Bijie soil for better crop management. In this study, a survey was conducted to obtain soil pH and related spatial parameters in Beijie city. The spatial characteristics of soil pH was analyzed using the methods of geostatistics and GIS. Results showed that soil pH of Bijie city ranged from 5.12 to 9.20. Soil pH optimal interpolation model was selected. The trend index of the model was 1, suggesting such a model was rational. The nugget value and base value of the ratio of 65.10% showed a medium spatial dependence, suggesting structural factors (the natural factors) had a greater influence on soil pH. According to soil parent, soil pH values showed an order from small to large as basic rocks, sand shale, fluvial deposits, carbonate rocks, purple rocks, argillaceous rocks and quartzites. As for soil types, soil pH showed an order as 6.29, 6.83, 7.07, 7.17 and 8.20 of limestone soil , yellow soil, yellow soil, purple soil and brown soil, respectively. The correlation analysis of the pH with the elevation, slope, and slope of the cultivated land showed a moderate correlation, weak correlation and medium correlation, respectively. Overall, the pH of arable land is affected by both structural factors (natural factors) and human factors.
Keywords:Variation coefficient  Spatial distribution  Kriging method  Soil pH
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