王维维,麦麦提吐尔逊·艾则孜,艾提业古丽·热西提,艾尼瓦尔·买买提.焉耆盆地农田耕层土壤盐分的空间变异及分布格局[J].干旱地区农业研究,2019,37(2):195~201
焉耆盆地农田耕层土壤盐分的空间变异及分布格局
Spatial variability and distribution pattern of soil salinity factors in topsoil of farmland in Yanqi Basin,Xinjiang
  
DOI:10.7606/j.issn.1000-7601.2019.02.28
中文关键词:  农田耕层;土壤盐分  空间变异  分布格局  焉耆盆地
英文关键词:topsoil of farmland  soil salinity factors  spatial variability  distribution pattern  Yanqi Basin
基金项目:国家自然科学基金项目(41561073,41661047)
作者单位
王维维 College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi, Xinjiang 830054, China 
麦麦提吐尔逊·艾则孜 College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi, Xinjiang 830054, China
Xinjiang Laboratory of Lake Environment and Resources in Arid Zone, Xinjiang Normal University, Urumqi, Xinjiang 830054, China 
艾提业古丽·热西提 College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi, Xinjiang 830054, China 
艾尼瓦尔·买买提 College of Chemistry and Chemical Engineering, Xinjiang University, Urumqi, Xinjiang 830046, China 
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中文摘要:
      从新疆焉耆盆地采集195个农田土壤样品,测定土壤中pH值、含盐量以及电导率(EC)的含量,采用地统计法和空间自相关法研究了土壤盐分因子的空间异质性及分布格局,并对含盐量进行了风险性评价。结果表明:(1)焉耆盆地农田土壤pH值的变异小于10%,属于弱空间变异,电导率呈强的变异性,变异系数为1.102,含盐量属于中等变异强度。(2)通过Kriging空间插值发现,土壤含盐量和电导率高值区分布于博斯腾湖湖滨低洼地带及和静县南部的农田土壤,主要沿河流呈条带状分布;pH值高值区主要分布在博斯腾湖西南部湖滨湿地北部的农田,且从南到北呈阶梯状分布。(3)研究区土壤pH值、电导率和含盐量的Moran’s I分别介于-0.0494~0.2585、-0.0627~0.1406和-0.0624~0.0702,其中电导率和含盐量的变异范围较窄;土壤pH和电导率随空间距离的增加表现出相似的Moran’s I系数变化趋势。(4)研究区农田土壤以非盐渍化土和轻度盐渍化土为主。土壤含盐量在不同含量水平下的概率分布图对农田土壤盐渍化现状的风险性分析和评价十分有益。
英文摘要:
      A total of 195 soil samples from farmlands were collected from Yanqi Basin, Xinjiang and soil pH value, salt content and electrical conductivity(EC)were measured. Geostatistics and spatial autocorrelation method were used to quantitatively analyze the spatial heterogeneity and distribution pattern of soil salinity, and the risk assessment was conducted based on salinity. The results indicated that: (1) pH of farmland soil varied less than 10% in Yanqi Basin, indicating mild spatial variability; electrical conductivity varied vigorously with a variation coefficient of 1.102; the variation in salinity was moderate. (2) Through Kriging spatial interpolation, the soils with high salinity and conductivity values were distributed in the low-lying areas on the lakeshore of Bosten Lake and in the farmland soils in the south of Hejing County, mainly along the river. The high pH value areas were mainly distributed in the farmland in the northern part of the lakeshore wetland southwest of Bosten Lake, and were distributed stepwise from south to north. (3) Moran’s I of soil pH, conductivity, and salinity ranged from -0.0494 to 0.2585, -0.0627 to 0.1406, and -0.0624 to 0.0702, respectively and the variation range of conductivity and salinity was narrow. Soil pH and electrical conductivity showed similar Moran’s I with increasing spatial distance. (4) The farmland soil in the study area was dominated by non-salinized soil and mild salinized soil. It is found that the probability distribution of soil salinity at different levels of salt content is very useful for risk analysis and evaluation of soil salinization of farmland.
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