Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
RCCZO -- GIS / Map Data, Regolith Survey, Geomorphology -- Predicting Soil Thickness -- Reynolds Creek Experimental Watershed -- (2014-2017)
|This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (email@example.com) to determine if accessing this resource is possible.
|The size of this resource is 5 bytes
|Feb 25, 2020 at 5:13 p.m.
|Apr 24, 2020 at 5:25 p.m.
|See how to cite this resource
|Be the first one to this.
|No comments (yet)
Soil thickness is a fundamental variable in many earth science disciplines but difficult to predict. We find a strong inverse linear relationship between soil depth and hillslope curvature (r2=0.89, RMSE=0.17 m) at a field site in Idaho. Similar relationships are present across a diverse data set, although the slopes and y-intercepts vary widely. We show that the slopes of these functions vary with the standard deviations (SD) in catchment curvatures and that the catchment curvature distributions are centered on zero. Our simple empirical model predicts the spatial distribution of soil depth in a variety of catchments based only on high-resolution elevation data and a few soil depths. Spatially continuous soil depth datasets enable improved models for soil carbon, hydrology, weathering and landscape evolution.
|Patton, Nicholas R.; Lohse, Kathleen A.; Godsey, Sarah E.; Seyfried, Mark S.; and Crosby, Benjamin T.. (2017). Dataset for Predicting Soil Thickness on Soil Mantled Hillslopes [Data set]. Retrieved from https://doi.org/10.18122/B2PM69
|BSU ScholarWorks Link
This resource was created using funding from the following sources:
|National Science Foundation
|Reynolds Creek Critical Zone Observatory
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
|USDA-ARS Northwest Watershed Research Center
|Reynolds Creek Experimental Watershed
|Idaho State University
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/