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Application of Ordinary Kriging in Mapping Soil Organic Carbon in Zambia

机译:普通克里金法在赞比亚土壤有机碳测绘中的应用

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摘要

The quantification of the pattern and spatial distribution of soil organic carbon (SOC) is fundamental to understand many ecosystem processes.This study aimed to apply ordinary kriging (OK) to model the spatial distribution of SOC in a selected part of Zambia.A total of 100 soil samples were collected from the study area and analyzed for SOC by determining soil oxidizable carbon using the Walkley-Black method.An automated fitting procedure was followed when modeling the spatial structure of the SOC data with the exponential semivariogram.The results indicated that the short range spatial dependence of SOC was strong with a nugget close to zero.The spatial autocorrelation was high to medium with a nugget to sill ratio of 0.25.The root mean square error of the predictions was 0.64,which represented 58.18% of the mean observed data for SOC.It can be concluded that the generated map could serve as a proxy for SOC in the region where evidence of spatial structure and quantitative estimates of uncertainty are reported.Therefore,the maps produced can be used as guides for various uses including optimization of soil sampling.
机译:定量分析土壤有机碳(SOC)的模式和空间分布是了解许多生态系统过程的基础。本研究旨在应用普通克里金法(OK)建模赞比亚部分地区SOC的空间分布。从研究区域收集了100个土壤样品,并使用Walkley-Black方法通过测定土壤可氧化碳分析了SOC,然后使用指数半变异函数对SOC数据的空间结构进行建模时采用了自动拟合程序。 SOC的短程空间相关性很强,金块接近于零。空间自相关性高到中,金块与门槛比为0.25。预测的均方根误差为0.64,占观察到的均值的58.18%可以得出的结论是,生成的图可以作为空间结构和定量估计证据的区域中SOC的代理。因此,生成的地图可以用作各种用途的指南,包括优化土壤采样。

著录项

  • 来源
    《土壤圈(英文版)》 |2017年第2期|338-343|共6页
  • 作者单位

    Department of Soil Science,University of Zambia,School of Agricultural Sciences,P.O.Box 32379,Lusaka(Zambia);

    Department of Geomatic Engineering,University of Zambia,School of Engineering/National Remote Sensing Center,P.O.Box 32379,Lusaka(Zambia);

    Department of Soil Science,University of Zambia,School of Agricultural Sciences,P.O.Box 32379,Lusaka(Zambia);

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
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