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Geostatistical analysis of soil organic carbon in the farming-pastoral ecotone of Northeast China

机译:东北农牧交错带土壤有机碳的地统计学分析

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In this paper, a total of 191 topsoil samples were taken in Tongyu County, a typical area of farming-pastoral ecotone in the Northeast China, and soil organic carbon (SOC) concentrations were investigated using statistics, geostatistics and GIS techniques. Mean concentration of SOC in surface soil of Tongyu County was 0.76%, which was a very low level. The coefficient of variation (C_v) (0.23) indicated the moderate variability of SOC. Significant positive correlations existed between SOC and total N, total P, available N, silt, clay, respectively; negative correlations between SOC and sand, SOC and elevation were observed. The linear regression model of SOC was built based on other soil properties in order to comparing with interpolation results. To obtain an unbiased assessment on the spatial structure of SOC, the spatial outliers were detected using local Moran's I index. The parameters of experimental model fitted for the dataset excluded spatial outliers were better than those for all samples, but the difference was not significant at the regional scale. Based on Kriging interpolation, the spatial distribution of SOC showed a broad regional pattern, with higher values in the eastern part, and lower values in the middle and western part. This spatial pattern was mainly controlled by structural factors, such as climate, parent material and topography.
机译:本文在东北地区典型的农牧交错带通榆县共采集了191个表层土壤样品,并利用统计学,地统计学和GIS技术对土壤有机碳(SOC)进行了调查。通榆县表层土壤SOC的平均浓度为0.76%,这是一个非常低的水平。变异系数(C_v)(0.23)表示SOC的中等变异性。 SOC与总氮,总磷,有效氮,粉砂,黏土之间存在显着的正相关关系。 SOC与沙粒,SOC与海拔之间呈负相关。为了与插值结果进行比较,建立了基于其他土壤特性的SOC线性回归模型。为了获得SOC空间结构的无偏评估,使用局部Moran's I指数检测了空间离群值。拟合数据集的实验模型参数除空间离群值外均优于所有样本,但在区域尺度上差异不显着。基于克里格插值,SOC的空间分布表现出较宽的区域格局,东部地区较高,中西部地区较低。这种空间格局主要受结构因素控制,例如气候,母体材料和地形。

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