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Sodium‐affected soils (SAS) cover more than 10 million acres in the Northern Great Plains. Improving the classification, interpretation, and mapping of SAS is a major goal of the USDA‐NRCS as Northern Great Plains soil surveys are updated. Apparent electrical conductivity (EC a ) as measured with ground conductivity meters has shown promise for mapping SAS, but use of this geophysical tool needs additional evaluation. This study used an EM‐38 MK2‐2 meter (Geonics Limited, Mississauga, Ontario), a Trimble AgGPS 114 L‐band DGPS (Trimble, Sunnyvale, CA) and the RTmap38MK2 program (Geomar Software, Inc., Mississauga, Ontario) on an Allegro CX field computer (Juniper Systems, North Logan, UT) to collect, observe, and interpret EC a data in the field. The EC a map generated on‐site was then used to guide collection of soil samples for soil characterization and to evaluate the influence of soil properties in SAS on EC a as measured with the EM‐38MK2‐2. Stochastic models contained in the ESAP software package were used to estimate the sodium adsorption ratio (SAR) and salinity levels from the measured EC a data in 30 cm depth intervals to a depth of 90 cm and for the bulk soil (0–90 cm). This technique showed promise, with meaningful spatial patterns apparent in the EC a data. However, many of the stochastic models used for salinity and SAR for individual depth intervals and for the bulk soil had low R 2 values. At both sites, significant variability in soil clay and water contents along with a small number of soil samples taken to calibrate the EC a values to soil properties likely contributed to these low R 2 values.
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Heilig et al. (2011) studied this question.
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