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Spatial Dynamics of Water and Nitrogen Management in Irrigated Agriculture

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  • Keith C. Knapp
  • Kurt A. Schwabe

Abstract

Dynamic optimization of crop production with nonuniform irrigation and nitrogen carryover and leaching is considered. A production function system with thresholds, plateau maximum, and yield reduction is estimated from experimental data; rapid convergence to a steady-state is observed. Spatial variability implies a 40% increase in applied water and a six-fold increase in nitrate emissions, while dynamic optimization has more modest impacts. Nitrate emission control is accomplished primarily through reduced applied water, illustrating a strong cross-policy effect. Significant levels of water conservation and nitrate pollution control are achieved at relatively low cost with traditional irrigation systems and baseline conditions. Copyright 2008, Oxford University Press.

Suggested Citation

  • Keith C. Knapp & Kurt A. Schwabe, 2008. "Spatial Dynamics of Water and Nitrogen Management in Irrigated Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 524-539.
    • Handle: RePEc:oup:ajagec:v:90:y:2008:i:2:p:524-539
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    File URL: http://hdl.handle.net/10.1111/j.1467-8276.2007.01124.x
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    Citations

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    Cited by:

    1. Bradley Franklin & Keith C. Knapp & Kurt A. Schwabe, 2017. "A Dynamic Regional Model of Irrigated Perennial Crop Production," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 3(01), pages 1-30, January.
    2. Pamela Giselle Katic, 2010. "Spatial dynamics and optimal resource extraction," Centre for Water Economics, Environment and Policy Papers 1002, Centre for Water Economics, Environment and Policy, Crawford School of Public Policy, The Australian National University.
    3. Pamela Katic, 2015. "Groundwater Spatial Dynamics and Endogenous Well Location," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(1), pages 181-196, January.
    4. Wang, Jingjing, 2022. "Harnessing natural attenuation to reduce CAFOs nitrate emissions: An integrated modeling approach," Ecological Economics, Elsevier, vol. 199(C).
    5. Michail Tsagris & Vangelis Tzouvelekas, 2022. "Nitrate leaching and efficiency measurement in intensive farming systems: A parametric by‐production technology approach," Agricultural Economics, International Association of Agricultural Economists, vol. 53(4), pages 633-647, July.
    6. Catherine L. Kling & Raymond W. Arritt & Gray Calhoun & David A. Keiser, 2017. "Integrated Assessment Models of the Food, Energy, and Water Nexus: A Review and an Outline of Research Needs," Annual Review of Resource Economics, Annual Reviews, vol. 9(1), pages 143-163, October.
    7. Rintaro Yamaguchi, 2021. "Genuine Savings and Sustainability with Resource Diffusion," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(2), pages 451-471, October.
    8. Zhao, Xiaobing & Fletcher, Jerald J., 2011. "A spatial–temporal optimization approach to watershed management: Acid mine drainage treatment in the Cheat River watershed, WV, USA," Ecological Modelling, Elsevier, vol. 222(9), pages 1580-1591.
    9. Fabien Martinez, 2015. "A Three-Dimensional Conceptual Framework of Corporate Water Responsibility," Post-Print hal-02887624, HAL.
    10. Julia de Frutos Cachorro & Katrin Erdlenbruch & Mabel Tidball, 2017. "A dynamic model of irrigation and land-use choice: application to the Beauce aquifer in France," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(1), pages 99-120.
    11. Bradley Franklin & Kurt Schwabe & Lucia Levers, 2021. "Perennial Crop Dynamics May Affect Long-Run Groundwater Levels," Land, MDPI, vol. 10(9), pages 1-18, September.
    12. Kenneth A. Baerenklau & Nermin Nergis & Kurt A. Schwabe, 2008. "Effects of Nutrient Restrictions on Confined Animal Facilities: Insights from a Structural‐Dynamic Model," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(2), pages 219-241, June.

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