TY - JOUR
T1 - Evaluation of Conservation Effects Assessment Project Grazing Lands conservation practices on the Cienega Creek watershed in southeast Arizona with AGWA/RHEM modeling tools
AU - Goodrich, D. C.
AU - Wei, H.
AU - Burns, I. S.
AU - Guertin, D. P.
AU - Spaeth, K.
AU - Hernandez, M.
AU - Holifield-Collins, C.
AU - Kautz, M.
AU - Heilman, P.
AU - Levick, L. R.
AU - Ponce, G.
AU - Carrillo, E.
AU - Tiller, R.
N1 - Funding Information:
Carl Unkrich (hydrologist, USDA Agricultural Research Service [ARS], Tucson, Arizona) and Gerardo Armendariz (information technology specialist, USDA ARS, Tucson, Arizona) assisted in data preparation and preparation of material for several figures.Steve Barker (principal,Resource Management System, LLC, Phoenix, Arizona) and Dan Robinett (manager, Robinett Rangeland Resources LLC, Elgin, Arizona) provided valuable insights into rangeland conservation practices. Dan Quintana (project manager, City of Tucson, Department of Water,Tucson, Arizona) and Gita Bodner (conservation ecologist at The Nature Conservancy, Tucson, Arizona) provided treatment and monitoring data. Trent Teegerstrom (associate director, Programs Specialist, Agricultural-Resource Economics, University of Arizona, Arizona) provided the Arizona cattle population figures.We gratefully acknowledge assistance from these individuals. Support for this research and assessment was provided by the USDA Rangeland Research Program, the USDA Natural Resources Conservation Service Conservation Effects Assessment Project Watershed Assessment Studies (www. nrcs.usda.gov/TECHNICAL/NRI/ceap), and Agricultural Research Service National Program 211.This research was also a contribution from the Long-Term Agroecosystem Research (LTAR) network.
Publisher Copyright:
Copyright © 2020 Soil and Water Conservation Society. All rights reserved.
PY - 2020/6
Y1 - 2020/6
N2 - The Automated Geospatial Watershed Assessment Tool (AGWA) and the Rangeland Hydrology Erosion Model (RHEM) were used to evaluate conservation practices on the Cienega Creek watershed (CCW) that were implemented under the Conservation Effects Assessment Project (CEAP) on Grazing Lands. CEAP on Grazing Lands is a multi-agency effort to quantify the environmental effects of conservation practices and programs, and develop the science base for managing rangelands for environmental quality using conservation practices (Spaeth et al. 2013). The evaluation was performed on the CCW and the Empire Ranch, located in southeastern Arizona, where numerous conservation practices have been implemented to achieve their management goals of maintaining desired plant communities and watershed processes. To assess the effects of the conservation practices on long-term soil and water loss, RHEM was applied to the entire CCW using National Resources Inventory (NRI) data. Four analysis periods were selected based on climatic contrasts, conservation spending, and availability of NRI sample points. The CCW results showed that the simulations using RHEM parameters derived from NRI data could be used to demonstrate the impact of climate on vegetation condition and sediment yield. A subsection, dubbed "select treatment areas, "of the CCW, which received extensive treatments with brush removal, prescribed burns, and stock ponds, was assessed using remotely sensed data. The select treatment areas were modeled over three different periods, representing preconservation spending, postconservation spending, and later postconservation spending. Remote sensing was capable of detecting and estimating the changes in vegetation cover from brush removal and prescribed burns. Simulations of sediment yield using pre- and posttreatment data indicated a modest reduction in sediment yield. Simulations in the select treatment areas indicated mechanical brush treatments were typically more effective than prescribed burns for improving watershed condition as estimated by reductions in sediment yield, but were more costly to implement. Stock ponds had a larger impact on sediment yield than the land treatments. The assessment demonstrated the utility of remotely sensed estimates of plant growth form and cover for model inputs to estimate changes in runoff and sediment yield with changing cover conditions over large areas.
AB - The Automated Geospatial Watershed Assessment Tool (AGWA) and the Rangeland Hydrology Erosion Model (RHEM) were used to evaluate conservation practices on the Cienega Creek watershed (CCW) that were implemented under the Conservation Effects Assessment Project (CEAP) on Grazing Lands. CEAP on Grazing Lands is a multi-agency effort to quantify the environmental effects of conservation practices and programs, and develop the science base for managing rangelands for environmental quality using conservation practices (Spaeth et al. 2013). The evaluation was performed on the CCW and the Empire Ranch, located in southeastern Arizona, where numerous conservation practices have been implemented to achieve their management goals of maintaining desired plant communities and watershed processes. To assess the effects of the conservation practices on long-term soil and water loss, RHEM was applied to the entire CCW using National Resources Inventory (NRI) data. Four analysis periods were selected based on climatic contrasts, conservation spending, and availability of NRI sample points. The CCW results showed that the simulations using RHEM parameters derived from NRI data could be used to demonstrate the impact of climate on vegetation condition and sediment yield. A subsection, dubbed "select treatment areas, "of the CCW, which received extensive treatments with brush removal, prescribed burns, and stock ponds, was assessed using remotely sensed data. The select treatment areas were modeled over three different periods, representing preconservation spending, postconservation spending, and later postconservation spending. Remote sensing was capable of detecting and estimating the changes in vegetation cover from brush removal and prescribed burns. Simulations of sediment yield using pre- and posttreatment data indicated a modest reduction in sediment yield. Simulations in the select treatment areas indicated mechanical brush treatments were typically more effective than prescribed burns for improving watershed condition as estimated by reductions in sediment yield, but were more costly to implement. Stock ponds had a larger impact on sediment yield than the land treatments. The assessment demonstrated the utility of remotely sensed estimates of plant growth form and cover for model inputs to estimate changes in runoff and sediment yield with changing cover conditions over large areas.
KW - Assessment
KW - Erosion
KW - Rangelands
KW - Runoff
KW - Sediment yield
KW - Watershed modeling
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U2 - 10.2489/JSWC.75.3.304
DO - 10.2489/JSWC.75.3.304
M3 - Article
AN - SCOPUS:85088314124
SN - 0022-4561
VL - 75
SP - 304
EP - 318
JO - Journal of Soil and Water Conservation
JF - Journal of Soil and Water Conservation
IS - 3
ER -