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首页> 外文期刊>Soil Science Society of America Journal >Improved Prediction and Mapping of Soil Copper by Kriging with Auxiliary Data for Cation-Exchange Capacity
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Improved Prediction and Mapping of Soil Copper by Kriging with Auxiliary Data for Cation-Exchange Capacity

机译：利用辅助数据的克里金法改进土壤铜的预测和制图

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摘要

Measurements of Cu or other trace elements in soils are rarely available in sufficient abundance to permit accurate mapping of large areas. In contrast, information is more widely available for major soil characteristics, such as cation-exchange capacity (CEC). Using data for soils of northern North Dakota, we compared four geostatistical methods as predictors of soil Cu: ordinary kriging (OK), ordinary kriging combined with regression (OKR), ordinary cokriging (OCK), and standardized ordinary cokriging (SCK). Ordinary kriging utilized data for soil Cu only, whereas the other three methods made use of CEC, which served as a secondary variable to improve the prediction and mapping of soil Cu. Quantitative predictions of soil Cu were tested by partitioning 619 sites of Cu into a training set of 310 sites, which was used to build models, and a testing set of 309 sites, which was reserved to test predictions derived from the training set. All three of the methods utilizing CEC data improved predictions substantially in comparison to OK. A larger data set containing data for soil Cu, CEC, or both was compiled from several comparable sources to prepare maps of Cu in soils of the 18 counties of northern North Dakota. These maps, based on data for 1002 sites within northern North Dakota, were quite similar for the three kriging methods which used data for both Cu and CEC, but different from the map derived from OK. Thus, the differences among the maps for soil Cu were consistent with our conclusion that the prediction of soil Cu was substantially improved by the use of CEC as an auxiliary variable.
机译：很少能够以足够的丰度测量土壤中的Cu或其他微量元素，从而可以对大面积区域进行准确的测绘。相反，关于主要土壤特性的信息 更为广泛，例如阳离子交换容量 （CEC）。利用北达科他州北部的土壤数据，我们比较了 四种地统计学方法作为土壤Cu的预测指标：普通 kriging（OK），普通kriging结合回归（OKR），< sup> 普通协同克里金法（OCK）和标准化普通协同克里金法 （SCK）。普通克里格法仅利用土壤铜的数据，而其他方法 则利用CEC作为辅助变量，以改善土壤铜的预测和制图。通过将619个 的Cu划分为310个训练集来测试土壤Cu的定量预测，该训练集用于建立 模型，并且309个站点的测试集，保留给从训练集中得出的 测试预测。与OK相比，使用CEC数据的所有三种方法 都大大改善了预测。从多个可比较的资料 编制了一个较大的数据集，其中包含有关土壤 Cu，CEC或两者的数据，以准备北部的18个县的土壤中Cu的图北达科他州。这些地图基于北达科他州北部 内1002个站点的数据，对于三个同时使用Cu和CEC数据的kriging 方法非常相似，但与 从OK派生的地图。因此，土壤铜图 之间的差异与我们的结论一致，即通过使用CEC作为 大大改善了。 sup>辅助变量。

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    《Soil Science Society of America Journal》 |2003年第3期|919-927|共9页
  • 作者

    J. Wu; W. A. Norvell; D. G. Hopkins; D. B. Smith; M. G. Ulmer; R. M. Welch;

  • 作者单位

    U.S. Plant, Soil & Nutrition Lab., USDA-ARS, Tower Rd., Ithaca NY 14853,USDA-NRCS, Bismarck, ND 58501;

    Dep. Soil Sci., North Dakota State Univ., Fargo, ND 58105,USDA-NRCS, Bismarck, ND 58501;

    U.S. Geol. Survey, Denver, CO 80225,USDA-NRCS, Bismarck, ND 58501;

    Dep. Crop & Soil Sci., Cornell Univ., Ithaca, NY 14853,USDA-NRCS, Bismarck, ND 58501;

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