2020
DOI: 10.1002/ldr.3620
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Mapping erosion risk for saline rangelands of the Mancos Shale using the rangeland hydrology erosion model

Abstract: 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 RH… Show more

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Cited by 4 publications
(3 citation statements)
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“…However, because the fourth category of input variables (foliar and ground cover) requires expensive, local field surveys, applying RHEM to larger areas or regions in a spatially explicit manner (e.g. to create soil vulnerability maps) is currently difficult (McGwire et al, 2020). Similarly, it is not possible to survey the past, meaning that running counterfactual experiments with RHEM, for example, to assess the impacts of specific rangeland management strategies, is also difficult or challenging.…”
Section: Introductionmentioning
confidence: 99%
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“…However, because the fourth category of input variables (foliar and ground cover) requires expensive, local field surveys, applying RHEM to larger areas or regions in a spatially explicit manner (e.g. to create soil vulnerability maps) is currently difficult (McGwire et al, 2020). Similarly, it is not possible to survey the past, meaning that running counterfactual experiments with RHEM, for example, to assess the impacts of specific rangeland management strategies, is also difficult or challenging.…”
Section: Introductionmentioning
confidence: 99%
“…They estimated Litter and Basal cover from the total foliar cover using two separate linear regressions fitted to field surveyed data. Also, for an area around the four-corners area (Utah, Colorado, New Mexico, and Arizona), McGwire et al (2020) approximated total foliar cover using a linear relationship between Landsat and NRI data (R 2 = 0.69). They estimated Shrubs, Annual Forbs, and Bunch Grass from LANDFIRE data.…”
Section: Introductionmentioning
confidence: 99%
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