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Probabilistic climate risk assessment in rainfed wheat yield: Copula approach using water requirement satisfaction index

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  • Khaledi-Alamdari, Mohammad
  • Majnooni-Heris, Abolfazl
  • Fakheri-Fard, Ahmad
  • Russo, Ana

Abstract

The trend of population growth and the consequent need to increase agricultural production in order to provide for the necessary food is critical topic nowadays. To account for the risks and damage caused by changes in weather and climate constrains, it is important to know how these changes affect the agricultural productivity. Wheat is the world's most widely grown crop and is directly related to worldwide food security issues. As a result, it has always been of interest to researchers as a strategic crop. In this study, the correlation of the Water Requirement Satisfaction Index in six growing periods of rainfed wheat with its yield was examined and found that the highest correlation is seen over the entire growing season. Based on statistical distributions and copula functions, the sensitivity and rainfed wheat yield to the Water Requirement Satisfaction Index was examined. Clayton Copula was selected based on AIC and RMSE evaluation indices. The probability of having crop losses is around 50%, in general. The results showed that the yield risk of rainfed wheat in the Tabriz region drops to 46% under low climatic risk conditions and reaches to 98% under medium and high climate risk conditions. The results allow farmers and stakeholders to better plan and manage food security by knowing the changes in rainfed wheat yield depending on weather conditions. By using different options under different conditions such as wet events, it is also possible to work towards higher yield amounts of rainfed wheat and other rainfed crops.

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  • Khaledi-Alamdari, Mohammad & Majnooni-Heris, Abolfazl & Fakheri-Fard, Ahmad & Russo, Ana, 2023. "Probabilistic climate risk assessment in rainfed wheat yield: Copula approach using water requirement satisfaction index," Agricultural Water Management, Elsevier, vol. 289(C).
  • Handle: RePEc:eee:agiwat:v:289:y:2023:i:c:s0378377423004079
    DOI: 10.1016/j.agwat.2023.108542
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    References listed on IDEAS

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    1. Ostap Okhrin & Martin Odening & Wei Xu, 2013. "Systemic Weather Risk and Crop Insurance: The Case of China," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(2), pages 351-372, June.
    2. Zhang, Yaling & Guo, Li & Liang, Chuan & Zhao, Lu & Wang, Junqin & Zhan, Cun & Jiang, Shouzheng, 2022. "Encounter risk analysis of crop water requirements and effective precipitation based on the copula method in the Hilly Area of Southwest China," Agricultural Water Management, Elsevier, vol. 266(C).
    3. Philipp Arbenz, 2013. "Bayesian Copulae Distributions, with Application to Operational Risk Management—Some Comments," Methodology and Computing in Applied Probability, Springer, vol. 15(1), pages 105-108, March.
    4. J. Shiau, 2006. "Fitting Drought Duration and Severity with Two-Dimensional Copulas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(5), pages 795-815, October.
    5. Deepak K. Ray & James S. Gerber & Graham K. MacDonald & Paul C. West, 2015. "Climate variation explains a third of global crop yield variability," Nature Communications, Nature, vol. 6(1), pages 1-9, May.
    6. Fang, Hong-Bin & Fang, Kai-Tai & Kotz, Samuel, 2002. "The Meta-elliptical Distributions with Given Marginals," Journal of Multivariate Analysis, Elsevier, vol. 82(1), pages 1-16, July.
    7. Boubaker, Heni & Sghaier, Nadia, 2013. "Portfolio optimization in the presence of dependent financial returns with long memory: A copula based approach," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 361-377.
    8. Barry K. Goodwin & Ashley Hungerford, 2015. "Copula-Based Models of Systemic Risk in U.S. Agriculture: Implications for Crop Insurance and Reinsurance Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(3), pages 879-896.
    9. Silva, Vicente de P.R. & Campos, João H.B.C. & Silva, Madson T. & Azevedo, Pedro V., 2010. "Impact of global warming on cowpea bean cultivation in northeastern Brazil," Agricultural Water Management, Elsevier, vol. 97(11), pages 1760-1768, November.
    10. Saadi, Sameh & Todorovic, Mladen & Tanasijevic, Lazar & Pereira, Luis S. & Pizzigalli, Claudia & Lionello, Piero, 2015. "Climate change and Mediterranean agriculture: Impacts on winter wheat and tomato crop evapotranspiration, irrigation requirements and yield," Agricultural Water Management, Elsevier, vol. 147(C), pages 103-115.
    11. Ribeiro, Andreia F.S. & Russo, Ana & Gouveia, Célia M. & Páscoa, Patrícia, 2019. "Copula-based agricultural drought risk of rainfed cropping systems," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    Full references (including those not matched with items on IDEAS)

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