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Field-Scale Spatial Variation of Saline-Sodic Soil and Its Relation with Environmental Factors in Western Songnen Plain of China

机译:松嫩平原西部盐碱土田间尺度空间变异及其与环境因子的关系

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The objectives of this study were to investigate the degree of spatial variability and variance structure of salinization parameters using classical and geostatistical method in Songnen Plain of China, which is one of largest saline-sodic areas in the World, and to analyze the relationship between salinization parameters, including soil salinity content (SC), electrical conductivity (EC), sodium adsorption ratio (SAR), and pH, and seven environmental factors by Pearson and stepwise regression analysis. The environmental factors were ground elevation, surface ponding time, surface ponding depth, and soil moistures at four layers (0–10 cm, 10–30 cm, 30–60 cm, and 60–100 cm). The results indicated that SC, EC, and SAR showed great variations, whereas pH exhibited low variations. Four salinization parameters showed strongly spatial autocorrelation resulting from the compound impact of structural factors. The empirical semivariograms in the four parameters could be simulated by spherical and exponential models. The spatial distributions of SC, EC, SAR and pH showed similar patterns, with the coexistence of high salinity and sodicity in the areas with high ground elevation. By Pearson analysis, the soil salinization parameters showed a significant positive relationship with ground elevation, but a negative correlation with surface ponding time, surface ponding depth, and soil moistures. Both correlation and stepwise regression analysis showed that ground elevation is the most important environmental factor for spatial variation of soil sanilization. The results from this research can provide some useful information for explaining mechanism of salinization process and utilization of saline-sodic soils in the Western Songnen Plain.
机译:本研究的目的是使用经典和地统计学方法研究世界上最大的盐碱地区之一的中国松嫩平原的盐碱化参数的空间变异性和方差结构,并分析盐碱化之间的关系。通过Pearson和逐步回归分析得出的参数包括土壤盐分含量(SC),电导率(EC),钠吸附率(SAR)和pH以及七个环境因子。环境因素是四层(0-10厘米,10-30厘米,30-60厘米和60-100厘米)的地面海拔,地面深陷时间,地面深陷深度和土壤湿度。结果表明,SC,EC和SAR表现出很大的变化,而pH值表现出低的变化。四个盐化参数显示出强烈的空间自相关性,这归因于结构因素的复合影响。可以通过球形和指数模型来模拟四个参数中的经验半变异函数。 SC,EC,SAR和pH的空间分布表现出相似的模式,在高海拔地区高盐度和高盐度并存。通过Pearson分析,土壤盐渍化参数与地面海拔高度呈显着正相关,而与地表思考时间,地表思考深度和土壤湿度呈负相关。相关性和逐步回归分析均表明,地面高程是土壤渗氮空间变化的最重要环境​​因素。这项研究的结果可以为解释松嫩平原西部盐碱化土壤的盐渍化过程和利用机理提供一些有用的信息。

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