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A watershed-scale assessment of climate change impacts on crop yields in Atlantic Canada

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  • Kang, Xiaoyu
  • Qi, Junyu
  • Li, Sheng
  • Meng, Fan-Rui

Abstract

Agriculture in Atlantic Canada (AC) is dominated by a rain-fed potato production system, with potatoes typically rotating with cereal crops such as barley and oats. Under rain-fed conditions, crop yields are sensitive to weather and its variations and are thus affected by climate change. Previous research regarding climate change impacts on crop yields in AC has been limited to a regional-scale assessment, mostly focusing on climate without considering real-world field conditions (e.g., soil and topography). In this study, an enhanced Soil and Water Assessment Tool (SWAT) model was used to estimate crop yields at the watershed scale under climate change conditions projected for the period of 2020–2099 using global climate models with three different greenhouse gas (GHG) emission scenarios from the Representative Concentration Pathways (i.e., RCP2.6, 4.5, and 8.5). Results suggest that climate change will negatively impact potato and barley yields under all three RCP scenarios. In particular, under the RCP8.5 scenario, there will be significant reductions (13–23%) in crop yields between 2060 and 2099. The leading cause of crop yield reductions is attributed to the soil water stress resulting from increased temperature and evapotranspiration during the growing season due to climate change. Elevated carbon dioxide (CO2) concentrations could potentially increase crop yields due to the CO2 fertilization effect. However, it is not enough to offset the negative impacts of soil water stress. Our results suggest that on top of controlling GHG emissions to below the RCP4.5 level, it is critical to develop and adapt crop, soil, and water management practices such as new crop-rotation systems, early planting dates, and supplemental irrigation to maintain future crop yields in AC.

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  • Kang, Xiaoyu & Qi, Junyu & Li, Sheng & Meng, Fan-Rui, 2022. "A watershed-scale assessment of climate change impacts on crop yields in Atlantic Canada," Agricultural Water Management, Elsevier, vol. 269(C).
    • Handle: RePEc:eee:agiwat:v:269:y:2022:i:c:s037837742200227x
    DOI: 10.1016/j.agwat.2022.107680
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    1. Sinnathamby, Sumathy & Douglas-Mankin, Kyle R. & Craige, Collin, 2017. "Field-scale calibration of crop-yield parameters in the Soil and Water Assessment Tool (SWAT)," Agricultural Water Management, Elsevier, vol. 180(PA), pages 61-69.
    2. Chen, Yong & Marek, Gary W. & Marek, Thomas H. & Moorhead, Jerry E. & Heflin, Kevin R. & Brauer, David K. & Gowda, Prasanna H. & Srinivasan, Raghavan, 2019. "Simulating the impacts of climate change on hydrology and crop production in the Northern High Plains of Texas using an improved SWAT model," Agricultural Water Management, Elsevier, vol. 221(C), pages 13-24.
    3. Ahmad, Mirza Junaid & Iqbal, Muhammad Anjum & Choi, Kyung Sook, 2020. "Climate-driven constraints in sustaining future wheat yield and water productivity," Agricultural Water Management, Elsevier, vol. 231(C).
    4. 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.
    5. Ullrich, Antje & Volk, Martin, 2009. "Application of the Soil and Water Assessment Tool (SWAT) to predict the impact of alternative management practices on water quality and quantity," Agricultural Water Management, Elsevier, vol. 96(8), pages 1207-1217, August.
    6. Jean-Phillipe Brassard & Bhawan Singh, 2008. "Impacts of climate change and CO 2 increase on agricultural production and adaptation options for Southern Québec, Canada," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 13(3), pages 241-265, March.
    7. Chen, Xiaoping & Qi, Zhiming & Gui, Dongwei & Gu, Zhe & Ma, Liwang & Zeng, Fanjiang & Li, Lanhai, 2019. "Simulating impacts of climate change on cotton yield and water requirement using RZWQM2," Agricultural Water Management, Elsevier, vol. 222(C), pages 231-241.
    8. Rashid, Muhammad Adil & Jabloun, Mohamed & Andersen, Mathias Neumann & Zhang, Xiying & Olesen, Jørgen Eivind, 2019. "Climate change is expected to increase yield and water use efficiency of wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 222(C), pages 193-203.
    9. S. Asseng & F. Ewert & P. Martre & R. P. Rötter & D. B. Lobell & D. Cammarano & B. A. Kimball & M. J. Ottman & G. W. Wall & J. W. White & M. P. Reynolds & P. D. Alderman & P. V. V. Prasad & P. K. Agga, 2015. "Rising temperatures reduce global wheat production," Nature Climate Change, Nature, vol. 5(2), pages 143-147, February.
    10. Junyu Qi & Kang Liang & Sheng Li & Lichun Wang & Fan-Rui Meng, 2018. "Hydrological Evaluation of Flow Diversion Terraces Using Downhill-Slope Calculation Method for High Resolution and Accuracy DEMs," Sustainability, MDPI, vol. 10(7), pages 1-13, July.
    11. Junyu Qi & Sheng Li & Qi Yang & Zisheng Xing & Fan-Rui Meng, 2017. "SWAT Setup with Long-Term Detailed Landuse and Management Records and Modification for a Micro-Watershed Influenced by Freeze-Thaw Cycles," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3953-3974, September.
    12. Junyu Qi & Sheng Li & Qiang Li & Zisheng Xing & Charles P.-A. Bourque & Fan-Rui Meng, 2016. "Assessing an Enhanced Version of SWAT on Water Quantity and Quality Simulation in Regions with Seasonal Snow Cover," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5021-5037, November.
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