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Sensitivity of groundwater recharge under irrigated agriculture to changes in climate, CO2 concentrations and canopy structure

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  • Ficklin, Darren L.
  • Luedeling, Eike
  • Zhang, Minghua

Abstract

Estimating groundwater recharge in response to increased atmospheric CO2 concentration and climate change is critical for future management of agricultural water resources in arid or semi-arid regions. Based on climate projections from the Intergovernmental Panel on Climate Change, this study quantified groundwater recharge under irrigated agriculture in response to variations of atmospheric CO2 concentrations (550 and 970ppm) and average daily temperature (+1.1 and +6.4°C compared to current conditions). HYDRUS 1D, a model used to simulate water movement in unsaturated, partially saturated, or fully saturated porous media, was used to simulate the impact of climate change on vadose zone hydrologic processes and groundwater recharge for three typical crop sites (alfalfa, almonds and tomatoes) in the San Joaquin watershed in California. Plant growth with the consideration of elevated atmospheric CO2 concentration was simulated using the heat unit theory. A modified version of the Penman-Monteith equation was used to account for the effects of elevated atmospheric CO2 concentration. Irrigation amount and timing was based on crop potential evapotranspiration. The results of this study suggest that increases in atmospheric CO2 and average daily temperature may have significant effects on groundwater recharge. Increasing temperature caused a temporal shift in plant growth patterns and redistributed evapotranspiration and irrigation water use earlier in the growing season resulting in a decrease in groundwater recharge under alfalfa and almonds and an increase under tomatoes. Elevating atmospheric CO2 concentrations generally decreased groundwater recharge for all crops due to decreased evapotranspiration resulting in decreased irrigation water use. Increasing average daily temperature by 1.1 and 6.4°C and atmospheric CO2 concentration to 550 and 970ppm led to a decrease in cumulative groundwater recharge for most scenarios. Overall, the results indicate that groundwater recharge may be very sensitive to potential future climate changes.

Suggested Citation

  • Ficklin, Darren L. & Luedeling, Eike & Zhang, Minghua, 2010. "Sensitivity of groundwater recharge under irrigated agriculture to changes in climate, CO2 concentrations and canopy structure," Agricultural Water Management, Elsevier, vol. 97(7), pages 1039-1050, July.
    • Handle: RePEc:eee:agiwat:v:97:y:2010:i:7:p:1039-1050
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    References listed on IDEAS

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    1. Magoon, C. A. & Culpepper, Charles W., 1932. "Response of Sweet Corn to Varying Temperatures from Time of Planting to Canning Maturity," Technical Bulletins 163380, United States Department of Agriculture, Economic Research Service.
    2. Stockle, Claudio O. & Williams, Jimmy R. & Rosenberg, Norman J. & Jones, C. Allan, 1992. "A method for estimating the direct and climatic effects of rising atmospheric carbon dioxide on growth and yield of crops: Part I--Modification of the EPIC model for climate change analysis," Agricultural Systems, Elsevier, vol. 38(3), pages 225-238.
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    1. Ramos, T.B. & Simionesei, L. & Jauch, E. & Almeida, C. & Neves, R., 2017. "Modelling soil water and maize growth dynamics influenced by shallow groundwater conditions in the Sorraia Valley region, Portugal," Agricultural Water Management, Elsevier, vol. 185(C), pages 27-42.
    2. Roland Barthel & Tim Reichenau & Tatjana Krimly & Stephan Dabbert & Karl Schneider & Wolfram Mauser, 2012. "Integrated Modeling of Global Change Impacts on Agriculture and Groundwater Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 1929-1951, May.
    3. Mohd Danish Khan & Sonam Shakya & Hong Ha Thi Vu & Ji Whan Ahn & Gnu Nam, 2019. "Water Environment Policy and Climate Change: A Comparative Study of India and South Korea," Sustainability, MDPI, vol. 11(12), pages 1-10, June.
    4. Heejung Kim & Kang-Kun Lee, 2018. "A Comparison of the Water Environment Policy of Europe and South Korea in Response to Climate Change," Sustainability, MDPI, vol. 10(2), pages 1-9, February.
    5. Chen, Zongkui & Niu, Yuping & Zhao, Ruihai & Han, Chunli & Han, Huanyong & Luo, Honghai, 2019. "The combination of limited irrigation and high plant density optimizes canopy structure and improves the water use efficiency of cotton," Agricultural Water Management, Elsevier, vol. 218(C), pages 139-148.

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