Location: Agricultural Systems Research Unit
2013 Annual Report
Objective 2. Using data from Colorado and the Midwest, improve model components to quantify and assess spatially targeted agricultural conservation effects on water quantity and quality. [Contributes to Problem Area #4, Improving Watershed Management and Ecosystem Services in Agricultural Landscapes, Problem Statement 4.1 of the new National Program (NP) 211 Action Plan (FY 2011 – 2015)]
Objective 3. Simulate the combined effects of projected climate change on crop production, water use, and nitrate transport, and assess potential cropping system adaptations at field to sub-basin scales in Colorado. [Contributes to Problem Area #4, Improving Watershed Management and Ecosystem Services in Agricultural Landscapes, Problem Statement 4.3 of the new National Program (NP) 211 Action Plan (FY 2011 – 2015)]
This project focuses on developing simulation tools for evaluating and proposing solutions to critical emerging problems in diverse agricultural systems over scales ranging from approximately 50 to 50,000 ha under current and future conditions. The component-based AgroEcoSystem-Watershed (AgES-W) model, developed in the Object Modeling System (OMS) framework, explicitly simulates the hydrologic and agronomic responses from spatially distributed land use, management, and weather conditions across inter-connected ecosystem response units (ERUs). AgES-W will be enhanced for:.
AgES-W was evaluated for different processes across diverse geographic areas: (1) Model science components for crop growth, nitrogen (N) dynamics, and sediment transport were evaluated using measured water quantity/quality data from the Upper Cedar Creek Watershed (UCCW) in Indiana. (2) Soil moisture data in Colorado were assembled, and daily data were used for AgES-W evaluation at multiple locations and depths within a farm field. Surface runoff is currently being measured at edge-of-field within a small agricultural watershed as part of cooperative on-farm research in northern Colorado. (3) AgES-W was used to simulate forage growth and soil moisture on a grassland at the Central Plains Experiment Station, CO. These data and simulation results are being compared with GPFARM-Range model simulations. The results will guide future modifications to the AgES-W grass growth component.
The Unified Plant Growth Model (UPGM) was evaluated for irrigated corn after incorporating PhenologyMMS Version 1.2 improvements for simulating seedling emergence, phenology, and canopy height. Subsequent progress has been made on evaluating additional crops under different irrigation practices and incorporating improvements from PhenologyMMS Version 1.3. Standalone UPGM code was restructured and modified to facilitate integration into OMS/AgES-W (UPGM input/output was identified, appropriate input files assembled, and input/output variables documented). UPGM has been compiled and tested under OMS3 and integration into AgES-W is on-going.
OMS3 was enhanced to better support the FORTRAN and C++ programming languages. AgES-W was deployed as a prototype service to the Cloud Services Innovation Platform (CSIP), a collaborative effort between NRCS, CSU, and ARS to develop a scalable infrastructure solution for modeling using cloud computing. AgES-W source code was added to the CSIP repository and the CSIP computing infrastructure was extended to provide model calibration support. Initial testing for model execution distribution across multiple cloud computers was performed. Additionally, the set of Domain Specific Language (DSL)-based tools within OMS3 for calibration, sensitivity analysis, and uncertainty analysis was extended with addition of the “Particle Swarm” and “DREAM” methods and is currently being evaluated
Derner, J.D., Augustine, D.J., Ascough II, J.C., Ahuja, L.R. 2012. Opportunities for increasing utility of models for rangeland management. Rangeland Ecology and Management. 65(6):623-631.
Taylor, R., Scanlon, B., Doll, P., Rodell, M., Van Beek, R., Wada, Y., Longuevergne, L., Leblanc, M., Famiglietti, J.S., Edmunds, M., Konikow, L., Green, T.R., Chen, J., Taniguchi, M., Bierkens, M., Macdonald, A., Fan, Y., Maxwell, R., Yechieli, Y., Gurdak, J., Allen, D., Shamsudduha, M., Hiscock, K., Yeh, P., Holman, I., Holger, T. 2013. Ground water and climate change. Nature Climate Change. 3(4): 322-329.
Ascough II, J.C., Flanagan, D.C., Nearing, M.A., Engel, B.A. 2013. Sensitivity and first-order/Monte Carlo uncertainty analysis of the WEPP hillslope erosion model. Transactions of the ASABE. 56(2)/437-452.
Mcmaster, G.S., Ascough II, J.C., Edmunds, D.A., Nielsen, D.C., Prasad, P.V. 2013. Simulating crop phenological responses to water stress using the phenology mms software component. Applied Engineering in Agriculture. Vol. 29(2): 233-249.
DeJonge, K.C., Ascough II, J.C., Andales, A.A., Hansen, N.C., Garcia, L.A., Ababi, M. 2012. Improving evapotranspiration simulations in the CERES-maize model under limited irrigation. Agricultural Water Management (2012), pp. 92-103.
Flanagan, D.C., Ascough II, J.C., Nieber, J.L., Misra, D., Douglas-Mankin, K.R. 2013. Advances in soil erosion research: processes, measurement, and modeling. Transactions of the ASABE. 56(2):455-463.
Flanagan, D.C., Frankenberger, J.R., Ascough II, J.C. 2012. WEPP: Model use, calibration and validation. Transactions of the American Society of Agricultural and Biological Engineers. 55(4):1463-1477.
Del Grosso, S.J., White, J.W., Wilson, G., Vandenberg, B.C., Karlen, D.L., Follett, R.F., Johnson, J.M., Franzluebbers, A.J., Archer, D.W., Gollany, H.T., Liebig, M.A., Ascough II, J.C., Reyes-Fox, M.A., Starr, J.L., Barbour, N.W., Polumsky, R.W., Gutwein, M., James, D.E., Pellack, L.S. 2013. Introducing the GRACEnet/REAP data contribution, discovery and retrieval system. Journal of Environmental Quality. 42:1274-1280. DOI:10.2134/jeq2013.03.0097.
Moragues, M., Mcmaster, G.S. 2013. Crop development related to temperature and photoperiod in temperate cereals. In: Meyers, R.A. Encyclopedia of Sustainability Science and Technology. Vol. C., Heidelberg, Germany: Springer-Verlag. p. 2540-2558. Available: http://www.springerreference.com/docs/html/chapterbid/226420.html.
Shaver, T.M., Peterson, G.A., Ahuja, L.R. 2013. Soil sorptivity enhancement with crop residue accumulation in simiarid dryland no-till agroecosystems. Geoderma. 192:254-258. Available: http://www.sciencedirect.com/science/article/pii/S0016706112003096