SoilGRIDs Soil Electric Conductivity, 0-15 cm average, for the Conterminous US
Dates
Publication Date
2020
Time Period
2020
Citation
Chambers, S.N., and Duniway, M.C., 2020, SoilGRIDs Soil Electric Conductivity, 0-15 cm average, for the Conterminous US.
Summary
A raster dataset representing the electric conductivity (EC) of surface soil horizons (top 15 cm or ~6 inches) in the conterminous United States. Increasing soil EC is correlated with increasing soil salt content which is referred to as soil salinity. High levels of soil salinity can only be tolerated by salt-tolerant plants, can interfere with the growth of non-salt tolerant plants, and make reclamation or restoration challenging. This dataset was created using the soil electric conductivity 100-meter spatial resolution predictive rasters for 0, 5, and 15 cm depths developed by Ramcharan (et al. 2018). The average soil EC over the top 15 cm in dS/m was calculated using the trapezoidal rule, and then put into 7 classes representing [...]
Summary
A raster dataset representing the electric conductivity (EC) of surface soil horizons (top 15 cm or ~6 inches) in the conterminous United States. Increasing soil EC is correlated with increasing soil salt content which is referred to as soil salinity. High levels of soil salinity can only be tolerated by salt-tolerant plants, can interfere with the growth of non-salt tolerant plants, and make reclamation or restoration challenging. This dataset was created using the soil electric conductivity 100-meter spatial resolution predictive rasters for 0, 5, and 15 cm depths developed by Ramcharan (et al. 2018). The average soil EC over the top 15 cm in dS/m was calculated using the trapezoidal rule, and then put into 7 classes representing standard soil salinity breaks for interpretation and reporting.
Ramcharan, A., Hengl, T., Nauman, T., Brungard, C., Waltman, S., Wills, S., and Thompson, J., 2018, Soil Property and Class Maps of the Conterminous United States at 100-Meter Spatial Resolution: Soil Science Society of America Journal, v. 82, p. 186-201. http://dx.doi.org/10.2136/sssaj2017.04.0122.
