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Methods to estimate plant available water for simulation models

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  • Behrman, K.D.
  • Norfleet, M.L.
  • Williams, J.

Abstract

Agricultural simulation models are increasingly being used in decision support tools at regional and national scales for crop production and water management. These models require hydrologic inputs; in particular plant available water (PAW) is a critical parameter that helps determine if precipitation infiltrates and is stored as soil water, is lost directly to the atmosphere through soil evaporation, or is transported as groundwater flow. Accurate or realistic estimations of PAW for many geographic regions and soil types must be readily available as model input for simulating crop growth and many downstream processes, such as water quality, soil erosion, sediment loss, nutrient/pesticide fate and transport, and greenhouse gas emissions. In this study, we present a new algorithm for PAW estimation, termed the BNW algorithm, which was developed primarily based on principles of soil properties. The new BNW algorithm outperformed several commonly used algorithms for overall soil pedon fit and by USDA texture class. The BNW algorithm has the best fit and accuracy on sandy clay and sandy clay loam soils. Incorporation of the BNW algorithm into process based simulation models will improve the accuracy of crop production estimates and environmental impacts estimates at regional and national scales.

Suggested Citation

  • Behrman, K.D. & Norfleet, M.L. & Williams, J., 2016. "Methods to estimate plant available water for simulation models," Agricultural Water Management, Elsevier, vol. 175(C), pages 72-77.
  • Handle: RePEc:eee:agiwat:v:175:y:2016:i:c:p:72-77
    DOI: 10.1016/j.agwat.2016.03.009
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    References listed on IDEAS

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    1. Stockle, Claudio O. & Martin, Steve A. & Campbell, Gaylon S., 1994. "CropSyst, a cropping systems simulation model: Water/nitrogen budgets and crop yield," Agricultural Systems, Elsevier, vol. 46(3), pages 335-359.
    2. Kiniry, James R. & Williams, J. R. & Gassman, Philip W. & Debacke, P., 1992. "General, Process-Oriented Model for Two Competing Plant Species (A)," Staff General Research Papers Archive 483, Iowa State University, Department of Economics.
    3. Timlin, D. J. & Pachepsky, Ya. A. & Acock, B. & Whisler, F., 1996. "Indirect estimation of soil hydraulic properties to predict soybean yield using GLYCIM," Agricultural Systems, Elsevier, vol. 52(2-3), pages 331-353.
    4. Ilya Gelfand & Ritvik Sahajpal & Xuesong Zhang & R. César Izaurralde & Katherine L. Gross & G. Philip Robertson, 2013. "Sustainable bioenergy production from marginal lands in the US Midwest," Nature, Nature, vol. 493(7433), pages 514-517, January.
    5. Powers, S.E. & Ascough, J.C. & Nelson, R.G. & Larocque, G.R., 2011. "Modeling water and soil quality environmental impacts associated with bioenergy crop production and biomass removal in the Midwest USA," Ecological Modelling, Elsevier, vol. 222(14), pages 2430-2447.
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