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Simulating Crop-Water Production Functions Using Crop Growth Models to Support Water Policy Assessments

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  • Foster, T.
  • Brozović, N.

Abstract

Crop-water production functions are important tools for quantifying effects of water scarcity and climate change on agricultural production, and are also widely used within hydro-economic models to support design of inter-sectoral water management policies. Here, we introduce a new methodology for simulating crop-water production functions using process-based crop growth models, which captures explicitly the interacting effects of farmers' intraseasonal irrigation decision-making, stochastic weather conditions, and physical and socio-economic water supply constraints on seasonal crop yield response to water. Through a case study application for groundwater irrigated corn production in the Texas High Plains, we demonstrate that constraints to irrigation scheduling caused by aquifer depletion, combined with farmers' limited foresight of future weather conditions, have significant impacts on estimated seasonal crop-water production functions. Our results highlight that the failure to account for these factors fully in previous simulation approaches will lead to errors in estimates of the impacts of groundwater depletion on farmers' future resilience to drought and climate change. Our proposed simulation methodology is generalizable to different production systems or crop growth models, and provides a tool for assessing how economic benefits derived from irrigation vary spatially and temporally due to heterogeneity in biophysical conditions and irrigation practices.

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  • Foster, T. & Brozović, N., 2018. "Simulating Crop-Water Production Functions Using Crop Growth Models to Support Water Policy Assessments," Ecological Economics, Elsevier, vol. 152(C), pages 9-21.
    • Handle: RePEc:eee:ecolec:v:152:y:2018:i:c:p:9-21
    DOI: 10.1016/j.ecolecon.2018.05.019
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    1. Kahil, Mohamed Taher & Connor, Jeffery D. & Albiac, Jose, 2015. "Efficient water management policies for irrigation adaptation to climate change in Southern Europe," Ecological Economics, Elsevier, vol. 120(C), pages 226-233.
    2. Geerts, Sam & Raes, Dirk, 2009. "Deficit irrigation as an on-farm strategy to maximize crop water productivity in dry areas," Agricultural Water Management, Elsevier, vol. 96(9), pages 1275-1284, September.
    3. Ding, Ya & Schoengold, Karina & Tadesse, Tsegaye, 2009. "The Impact of Weather Extremes on Agricultural Production Methods: Does Drought Increase Adoption of Conservation Tillage Practices?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(3), pages 1-17, December.
    4. Maksud Bekchanov & Claudia Ringler & Anik Bhaduri & Marc Jeuland, 2015. "How would the Rogun Dam affect water and energy scarcity in Central Asia?," Water International, Taylor & Francis Journals, vol. 40(5-6), pages 856-876, September.
    5. Pfeiffer, Lisa & Lin, C.-Y. Cynthia, 2014. "Does efficient irrigation technology lead to reduced groundwater extraction? Empirical evidence," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 189-208.
    6. Zhang, Heping & Oweis, Theib, 1999. "Water-yield relations and optimal irrigation scheduling of wheat in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 38(3), pages 195-211, January.
    7. Kisekka, I. & Schlegel, A. & Ma, L. & Gowda, P.H. & Prasad, P.V.V., 2017. "Optimizing preplant irrigation for maize under limited water in the High Plains," Agricultural Water Management, Elsevier, vol. 187(C), pages 154-163.
    8. Uri Shani & Yacov Tsur & Amos Zemel & David Zilberman, 2009. "Irrigation production functions with water‐capital substitution," Agricultural Economics, International Association of Agricultural Economists, vol. 40(1), pages 55-66, January.
    9. Rao, N. H. & Sarma, P. B. S. & Chander, Subhash, 1988. "A simple dated water-production function for use in irrigated agriculture," Agricultural Water Management, Elsevier, vol. 13(1), pages 25-32, April.
    10. Bekchanov, Maksud & Ringler, C. & Bhaduri, A. & Jeuland, M., "undated". "How would the Rogun Dam affect water and energy scarcity in Central Asia?," Papers published in Journals (Open Access) H047222, International Water Management Institute.
    11. Brown, Peter D. & Cochrane, Thomas A. & Krom, Thomas D., 2010. "Optimal on-farm irrigation scheduling with a seasonal water limit using simulated annealing," Agricultural Water Management, Elsevier, vol. 97(6), pages 892-900, June.
    12. Palazzo, Amanda & Brozović, Nicholas, 2014. "The role of groundwater trading in spatial water management," Agricultural Water Management, Elsevier, vol. 145(C), pages 50-60.
    13. Kim, Daeha & Kaluarachchi, Jagath J., 2016. "A risk-based hydro-economic analysis for land and water management in water deficit and salinity affected farming regions," Agricultural Water Management, Elsevier, vol. 166(C), pages 111-122.
    14. Igbadun, Henry E. & Tarimo, Andrew K.P.R. & Salim, Baanda A. & Mahoo, Henry F., 2007. "Evaluation of selected crop water production functions for an irrigated maize crop," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 1-10, December.
    15. Moore, Michael R. & Negri, Donald H., 1992. "A Multicrop Production Model Of Irrigated Agriculture, Applied To Water Allocation Policy Of The Bureau Of Reclamation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(1), pages 1-15, July.
    16. Kipkorir, E. C. & Raes, D. & Massawe, B., 2002. "Seasonal water production functions and yield response factors for maize and onion in Perkerra, Kenya," Agricultural Water Management, Elsevier, vol. 56(3), pages 229-240, August.
    17. Barrett, J. W. Hugh & Skogerboe, Gaylord V., 1980. "Crop production functions and the allocation and use of irrigation water," Agricultural Water Management, Elsevier, vol. 3(1), pages 53-64, July.
    18. Igbadun, Henry E. & Ramalan, A.A. & Oiganji, Ezekiel, 2012. "Effects of regulated deficit irrigation and mulch on yield, water use and crop water productivity of onion in Samaru, Nigeria," Agricultural Water Management, Elsevier, vol. 109(C), pages 162-169.
    19. Shah, Tushaar & Bhatt, Sonal & Shah, R.K. & Talati, Jayesh, 2008. "Groundwater governance through electricity supply management: Assessing an innovative intervention in Gujarat, western India," Agricultural Water Management, Elsevier, vol. 95(11), pages 1233-1242, November.
    20. Esteve, Paloma & Varela-Ortega, Consuelo & Blanco-Gutiérrez, Irene & Downing, Thomas E., 2015. "A hydro-economic model for the assessment of climate change impacts and adaptation in irrigated agriculture," Ecological Economics, Elsevier, vol. 120(C), pages 49-58.
    21. Christian,Paul J. & Kondylis,Florence & Mueller,Valerie Martina & Zwager,Astrid Maria Theresia & Siegfried,Tobias, 2018. "Water when it counts : reducing scarcity through irrigation monitoring in Central Mozambique," Policy Research Working Paper Series 8345, The World Bank.
    22. Raes, Dirk & Geerts, Sam & Kipkorir, Emmanuel & Wellens, Joost & Sahli, Ali, 2006. "Simulation of yield decline as a result of water stress with a robust soil water balance model," Agricultural Water Management, Elsevier, vol. 81(3), pages 335-357, March.
    23. Linker, Raphael & Ioslovich, Ilya & Sylaios, Georgios & Plauborg, Finn & Battilani, Adriano, 2016. "Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato," Agricultural Water Management, Elsevier, vol. 163(C), pages 236-243.
    24. Kayla A. Cotterman & Anthony D. Kendall & Bruno Basso & David W. Hyndman, 2018. "Groundwater depletion and climate change: future prospects of crop production in the Central High Plains Aquifer," Climatic Change, Springer, vol. 146(1), pages 187-200, January.
    25. McKinney, D. C. & Cai, X. & Rosegrant, M. W. & Ringler, C. & Scott, C. A., 1999. "Modeling water resources management at the basin level: review and future directions," IWMI Books, Reports H024075, International Water Management Institute.
    26. Kuwayama, Yusuke & Brozović, Nicholas, 2013. "The regulation of a spatially heterogeneous externality: Tradable groundwater permits to protect streams," Journal of Environmental Economics and Management, Elsevier, vol. 66(2), pages 364-382.
    27. Foster, T. & Brozović, N. & Butler, A.P. & Neale, C.M.U. & Raes, D. & Steduto, P. & Fereres, E. & Hsiao, T.C., 2017. "AquaCrop-OS: An open source version of FAO's crop water productivity model," Agricultural Water Management, Elsevier, vol. 181(C), pages 18-22.
    28. Brumbelow, Kelly & Georgakakos, Aris, 2007. "Determining crop-water production functions using yield-irrigation gradient algorithms," Agricultural Water Management, Elsevier, vol. 87(2), pages 151-161, January.
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