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Irrigation demand and supply, given projections of climate and land-use change, in Yolo County, California

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  • Mehta, Vishal K.
  • Haden, Van R.
  • Joyce, Brian A.
  • Purkey, David R.
  • Jackson, Louise E.

Abstract

We assess the potential effects of climate change and adaptive management on irrigation water supply in the Cache Creek watershed in California. Our model, built using the Water Evaluation And Planning (WEAP) system, is calibrated using historical data (1971–2000) on streamflow, irrigation deliveries, and reservoir operations. We examine three adaptation scenarios to 2099: (1) changes in cropping patterns based on econometric forecasts, (2) a shift toward a more diversified and water-efficient cropping patterns, and (3) a combination of irrigation technology improvements and changes in cropping patterns. Results show irrigation demand increasing by 26% and 32% under B1 and A2 baseline climate scenarios respectively in the latter part of the century under baseline climate scenarios. Irrigation water supply from upstream reservoir releases is less vulnerable, because of increased spring precipitation upstream. However, legal limits on reservoir releases mean that increased demand can only be met by increasing groundwater extraction. Increases in demand from climate change alone exceed applied water reductions from changing cropping patterns by an order of magnitude. Maximum applied water savings occur by combining a diversified water-efficient cropping pattern with irrigation technology improvements, which decreases demand to levels 12% below the historical mean, thereby also reducing groundwater pumping.

Suggested Citation

  • Mehta, Vishal K. & Haden, Van R. & Joyce, Brian A. & Purkey, David R. & Jackson, Louise E., 2013. "Irrigation demand and supply, given projections of climate and land-use change, in Yolo County, California," Agricultural Water Management, Elsevier, vol. 117(C), pages 70-82.
    • Handle: RePEc:eee:agiwat:v:117:y:2013:i:c:p:70-82
    DOI: 10.1016/j.agwat.2012.10.021
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    2. L. Jackson & S. Wheeler & A. Hollander & A. O’Geen & B. Orlove & J. Six & D. Sumner & F. Santos-Martin & J. Kramer & W. Horwath & R. Howitt & T. Tomich, 2011. "Case study on potential agricultural responses to climate change in a California landscape," Climatic Change, Springer, vol. 109(1), pages 407-427, December.
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    2. Ajay Bhave & Ashok Mishra & Narendra Raghuwanshi, 2014. "Evaluation of hydrological effect of stakeholder prioritized climate change adaptation options based on multi-model regional climate projections," Climatic Change, Springer, vol. 123(2), pages 225-239, March.
    3. Amber Kerr & Jake Dialesandro & Kerri Steenwerth & Nathan Lopez-Brody & Emile Elias, 2018. "Vulnerability of California specialty crops to projected mid-century temperature changes," Climatic Change, Springer, vol. 148(3), pages 419-436, June.
    4. Liu, Qi & Niu, Jun & Wood, Jeffrey D. & Kang, Shaozhong, 2022. "Spatial optimization of cropping pattern in the upper-middle reaches of the Heihe River basin, Northwest China," Agricultural Water Management, Elsevier, vol. 264(C).
    5. Feilong Jie & Liangjun Fei & Shan Li & Kun Hao & Lihua Liu & Youliang Peng, 2022. "Effects on Net Irrigation Water Requirement of Joint Distribution of Precipitation and Reference Evapotranspiration," Agriculture, MDPI, vol. 12(6), pages 1-16, June.
    6. M. K. Shaabani & J. Abedi-Koupai & S. S. Eslamian & S. A. R. Gohari, 2024. "Simulation of the effects of climate change, crop pattern change, and developing irrigation systems on the groundwater resources by SWAT, WEAP and MODFLOW models: a case study of Fars province, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(4), pages 10485-10511, April.
    7. Chul-Hee Lim & Yuyoung Choi & Moonil Kim & Soo Jeong Lee & Christian Folberth & Woo-Kyun Lee, 2018. "Spatially Explicit Assessment of Agricultural Water Equilibrium in the Korean Peninsula," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    8. U. Surendran & C. M. Sushanth & E. J. Joseph & Nadhir Al-Ansari & Zaher Mundher Yaseen, 2019. "FAO CROPWAT Model-Based Irrigation Requirements for Coconut to Improve Crop and Water Productivity in Kerala, India," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    9. George, Nicholas & Thompson, Sally E. & Hollingsworth, Joy & Orloff, Steven & Kaffka, Stephen, 2018. "Measurement and simulation of water-use by canola and camelina under cool-season conditions in California," Agricultural Water Management, Elsevier, vol. 196(C), pages 15-23.
    10. Iglesias, Ana & Garrote, Luis, 2015. "Adaptation strategies for agricultural water management under climate change in Europe," Agricultural Water Management, Elsevier, vol. 155(C), pages 113-124.
    11. Zach Conrad & Christian J. Peters & Kenneth Chui & Lisa Jahns & Timothy S. Griffin, 2017. "Agricultural Capacity to Increase the Production of Select Fruits and Vegetables in the US: A Geospatial Modeling Analysis," IJERPH, MDPI, vol. 14(10), pages 1-15, September.
    12. Xu, Qin & Fox, Glenn & McKenney, Dan & Parkin, Gary, 2019. "A theoretical economic model of the demand for irrigation water," Agricultural Water Management, Elsevier, vol. 225(C).
    13. T. R. Sreeshna & P. Athira & B. Soundharajan, 2024. "Impact of Climate Change on Regional Water Availability and Demand for Agricultural Production: Application of Water Footprint Concept," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(10), pages 3785-3817, August.
    14. Nam, Won-Ho & Choi, Jin-Yong & Hong, Eun-Mi, 2015. "Irrigation vulnerability assessment on agricultural water supply risk for adaptive management of climate change in South Korea," Agricultural Water Management, Elsevier, vol. 152(C), pages 173-187.
    15. Naveed Ahmed & Haishen Lü & Shakeel Ahmed & Ghulam Nabi & Muhammad Abdul Wajid & Aamir Shakoor & Hafiz Umar Farid, 2021. "Irrigation Supply and Demand, Land Use/Cover Change and Future Projections of Climate, in Indus Basin Irrigation System, Pakistan," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    16. Hyunok Lee & Daniel Sumner, 2015. "Economics of downscaled climate-induced changes in cropland, with projections to 2050: evidence from Yolo County California," Climatic Change, Springer, vol. 132(4), pages 723-737, October.

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