Interpreting Soil Electrical Conductivity and Terrain Attribute Variability with Soil Surveys
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Utilizing soil electrical conductivity (EC) measurements and terrain attributes for precision management will require secondary soil information for adequate interpretation. The objective of this study was to determine whether readily available second-order soil surveys were of adequate quality to aid with interpreting soil EC and terrain data. For three locations in Kentucky, USA, first-order soil surveys were created, second-order surveys reports were obtained, elevation was measured and used to calculate terrain attributes (slope, aspect, plan curvature, profile curvature), and bulk soil electrical conductivity was measured. Three analytical methods (an ordinary least squares analysis and two random field analyses), visual map assessment, and examination of least-squares means were used to assess the relationships between soil EC measurements, terrain attributes and first- and second-order soil surveys. The OLS and random field analyses were problematic. However, the ranking of the OLS F-statistics appeared to reflect the general relationship between landscape variables and first-order soil surveys. The landscape variables related particularly well with soil properties that had been impacted by past soil erosion. Unfortunately, however, second-order soil surveys in this study were not created at suitable scales to adequately interpret EC and terrain data regarding erosion history or other attributes. While these surveys may provide some useful information, field measurements, sampling, and observations will likely be required to develop high quality interpretations of soil EC and terrain attribute data.
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- Interpreting Soil Electrical Conductivity and Terrain Attribute Variability with Soil Surveys
Volume 6, Issue 1 , pp 53-72
- Cover Date
- Print ISSN
- Online ISSN
- Kluwer Academic Publishers
- Additional Links
- digital elevation models
- terrain attributes
- soil electrical conductivity
- random-field analysis
- soil survey order
- Industry Sectors
- Author Affiliations
- 1. Agriculture Management Solutions, John Deere Ag. Management Solutions, John Deere and Company, 4140 NW 114th Street, IA, 50322, Urbandale, USA
- 2. Department of Agronomy, University of Kentucky, N-122 Ag. Science North, KY, 40546-0091, Lexington, USA
- 3. Department of Agronomy, University of Kentucky, 1405 Veterans Drive, Plant Science Building, KY, 40546-0312, Lexington, USA