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Mapping erosion risk for saline rangelands of the Mancos Shale using the rangeland hydrology erosion model

Bibliographic Data

ID21648067
AuthorsKenneth C McGwire (0000-0002-4751-8072, Division of Earth and Ecosystems Sciences Desert Research Institute Reno Nevada USA, corresponding author), Mark A Weltz (Great Basin Rangelands Research Unit USDA Agricultural Research Service Reno Nevada USA), Sayjro Nouwakpo (Great Basin Rangelands Research Unit USDA Agricultural Research Service Reno Nevada USA), Sayjro K Nouwakpo (0000-0002-5138-4169, Agricultural Research Service), Ken Spaeth (Central National Technology Support Center USDA National Resources Conservation Service Fort Worth Texas USA), Michael Founds (0000-0003-1426-0455, cbec eco engineering West Sacramento California USA), Erik Cadaret (Water Systems Consulting San Luis Obispo California USA), Erik M Cadaret (Applied Biotechnology Institute)
Year2020
Volume31
Issue17
Pages2552-2564
Publication date2020-11-01
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.3620
OpenAlexW3017816847
LanguageEN
References cited37

This research used the rangeland hydrology and erosion model (RHEM) to map erosion risks affecting water quality of the Colorado River that originate on the Mancos Shale formation in Utah, Colorado, New Mexico, and Arizona. The Mancos Shale is a significant source of salinity to the river, and a portion of that salt load derives from erosion of rangeland soils. Here we demonstrate that the hillslope‐scale RHEM model can effectively characterize erosion risk across this large, discontinuous region. Inputs to RHEM included digital elevation data, maps of soil properties, the LANDFIRE vegetation map, Landsat and MODIS satellite imagery, field data from the Rangeland National Resource Inventory program of the US Natural Resources Conservation Service, and rainfall data from Atlas 14 of the U.S. National Atmospheric and Oceanographic Administration. RHEM predicted sediment yield at a 30‐m spatial resolution for storms with 30‐ and 60‐min durations whose intensities corresponded to 10‐ and 25‐year return frequencies. Results corresponded reasonably with prior field experiments that used the Walnut Gulch Rainfall Simulator (WGRS), with a Spearman's rank‐order correlation of .76 for cumulative sediment yield after 20 min of rainfall. Issues of input map accuracy were identified for rainfall intensity and estimates for sodium adsorption ratio (SAR) of soils. Correction of erroneous SAR at WGRS sites in one location improved rank‐order correlation to .93, indicating very good model performance where map inputs are accurate. The high‐resolution map of erosion risk developed from RHEM can help to prioritize specific areas for more intensive study and action

Erosion · Geomorphology · Rangeland · Sediment · Environmental Science · Plant Water Relations and Carbon Dynamics · Rangeland and Wildlife Management · Soil erosion and sediment transport · Geology

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