IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v319y2025ics0378377425005335.html

Climate change and irrigation management shape crop resilience in UAE arid agriculture: APSIM model-driven assessment

Author

Listed:
  • Mamassi, Achraf
  • Nhamo, Nhamo
  • Gummadi, Sridhar
  • Ammar, Khalil
  • Dhanhani, Mohamed Ahmed Hamdan Al
  • Hashmi, Hamed Abdullah Al
  • Bouras, Hamza
  • Accatino, Francesco
  • Zaaboul, Rashyd

Abstract

Climate change has intensified challenges to food security, compelling the United Arab Emirates (UAE) government to allocate significant resources and advanced technologies for assessing cropping systems performances across country. Crop modeling has emerged as cutting-edge tools for analyzing crop management and assessing water-soil resources usage and sustainability. This study applied a process-based crop model to evaluate performances of three annual crops—wheat, maize, and potato— under integrated climate change projections and irrigation management strategies within the UAE’s arid agroecosystems. APSIM-model was used to simulate crop eco-physiological responses, and assess their vulnerability–resilience profiles under combined climate-water stressors. Model calibration-validation processes were conducted using dataset encompassing crop phenological and productivity state variables. Time-series simulations were then performed under baseline-historical and future-projected period (1988–2100) defined by four Shared-Socioeconomic-Pathways (SSPs: 2.6–4.5–7.0–8.5). Results show that APSIM-model was successfully calibrated, and model validation further confirmed its robust accuracy in simulating crops development and yield prediction under the UAE’s agro-environmental conditions. Rising temperatures and water stress under medium–high emission scenarios (4.5–7.0–8.5) emerged as critical abiotic stressors, reducing wheat-yields up to half and maize-yields up to 75 %, and driving premature wheat and potato crop failure, particularly during the last two decades of the century. Leveraging APSIM-model for irrigation recommendations proved effective in ensuring maize efficient water-use, whereas it helps supporting appropriate potato scheduling across high-emissions scenarios. Findings highlighted the importance of investing in stress-tolerant crops and adapted varieties (e.g., C4 crops), alongside implementing UAE-specific soil–water management and climate-smart practices.

Suggested Citation

  • Mamassi, Achraf & Nhamo, Nhamo & Gummadi, Sridhar & Ammar, Khalil & Dhanhani, Mohamed Ahmed Hamdan Al & Hashmi, Hamed Abdullah Al & Bouras, Hamza & Accatino, Francesco & Zaaboul, Rashyd, 2025. "Climate change and irrigation management shape crop resilience in UAE arid agriculture: APSIM model-driven assessment," Agricultural Water Management, Elsevier, vol. 319(C).
  • Handle: RePEc:eee:agiwat:v:319:y:2025:i:c:s0378377425005335
    DOI: 10.1016/j.agwat.2025.109819
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377425005335
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2025.109819?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Wei Xiong & Matthew P. Reynolds & Carlo Montes & Jose Crossa & Sieglinde Snapp & Beyhan Akin & Keser Mesut & Fatih Ozdemir & Huihui Li & Zhonghu He & Daowen Wang & Feng Chen, 2024. "New wheat breeding paradigms for a warming climate," Nature Climate Change, Nature, vol. 14(8), pages 869-875, August.
    2. Dasgupta, Shouro & Robinson, Elizabeth J. Z., 2022. "Attributing changes in food insecurity to a changing climate," LSE Research Online Documents on Economics 114408, London School of Economics and Political Science, LSE Library.
    3. Ojeda, Jonathan J. & Huth, Neil & Holzworth, Dean & Raymundo, Rubí & Zyskowski, Robert F. & Sinton, Sarah M. & Michel, Alexandre J. & Brown, Hamish E., 2021. "Assessing errors during simulation configuration in crop models – A global case study using APSIM-Potato," Ecological Modelling, Elsevier, vol. 458(C).
    4. Ojeda, Jonathan J. & Volenec, Jeffrey J. & Brouder, Sylvie M. & Caviglia, Octavio P. & Agnusdei, Mónica G., 2018. "Modelling stover and grain yields, and subsurface artificial drainage from long-term corn rotations using APSIM," Agricultural Water Management, Elsevier, vol. 195(C), pages 154-171.
    5. Ahmed M. S. Kheir & Hiba M. Alkharabsheh & Mahmoud F. Seleiman & Adel M. Al-Saif & Khalil A. Ammar & Ahmed Attia & Medhat G. Zoghdan & Mahmoud M. A. Shabana & Hesham Aboelsoud & Calogero Schillaci, 2021. "Calibration and Validation of AQUACROP and APSIM Models to Optimize Wheat Yield and Water Saving in Arid Regions," Land, MDPI, vol. 10(12), pages 1-16, December.
    6. Liu, Huan & Pequeno, Diego N.L. & Hernández-Ochoa, Ixchel M. & Krupnik, Timothy J. & Sonder, Kai & Xiong, Wei & Xu, Yinlong, 2020. "A consistent calibration across three wheat models to simulate wheat yield and phenology in China," Ecological Modelling, Elsevier, vol. 430(C).
    7. repec:plo:pone00:0241147 is not listed on IDEAS
    8. Pakrooh, Parisa & Kamal, Muhamad Abdul, 2023. "Modeling the potential impacts of climate change on wheat yield in Iran: Evidence from national and provincial data analysis," Ecological Modelling, Elsevier, vol. 486(C).
    9. Dahri, Shahzad Hussain & Shaikh, Irfan Ahmed & Talpur, Mashooque Ali & Mangrio, Munir Ahmed & Dahri, Zakir Hussain & Hoogenboom, Gerrit & Knox, Jerry W., 2024. "Modelling the impacts of climate change on the sustainability of rainfed and irrigated maize in Pakistan," Agricultural Water Management, Elsevier, vol. 296(C).
    10. Tang, Jianzhao & Bai, Huizi & Zhang, Xinjun & Wang, Rende & Guo, Fenghua & Xiao, Dengpan & Zhou, Haitao, 2022. "Reducing potato water footprint by adjusting planting date in the agro-pastoral ecotone in North China," Ecological Modelling, Elsevier, vol. 474(C).
    11. Shoukat, Muhammad Rizwan & Wang, Jingjing & Habib-ur-Rahman, Muhammad & Hui, Xin & Hoogenboom, Gerrit & Yan, Haijun, 2024. "Adaptation strategies for winter wheat production at farmer fields under a changing climate: Employing crop and multiple global climate models," Agricultural Systems, Elsevier, vol. 220(C).
    12. Webber, Heidi & Gaiser, Thomas & Ewert, Frank, 2014. "What role can crop models play in supporting climate change adaptation decisions to enhance food security in Sub-Saharan Africa?," Agricultural Systems, Elsevier, vol. 127(C), pages 161-177.
    13. Dongyang Wei & Leslie Guadalupe Castro & Ashwini Chhatre & Marta Tuninetti & Kyle Frankel Davis, 2025. "Swapping rice for alternative cereals can reduce climate-induced production losses and increase farmer incomes in India," Nature Communications, Nature, vol. 16(1), pages 1-8, December.
    14. Tianyi Zhang & Yong He & Ron DePauw & Zhenong Jin & David Garvin & Xu Yue & Weston Anderson & Tao Li & Xin Dong & Tao Zhang & Xiaoguang Yang, 2022. "Climate change may outpace current wheat breeding yield improvements in North America," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    15. Elli, Elvis Felipe & Huth, Neil & Sentelhas, Paulo Cesar & Carneiro, Rafaela Lorenzato & Alvares, Clayton Alcarde, 2020. "Ability of the APSIM Next Generation Eucalyptus model to simulate complex traits across contrasting environments," Ecological Modelling, Elsevier, vol. 419(C).
    16. Ioannis Manikas & Balan Sundarakani & Foivos Anastasiadis & Beshir Ali, 2022. "A Framework for Food Security via Resilient Agri-Food Supply Chains: The Case of UAE," Sustainability, MDPI, vol. 14(10), pages 1-13, May.
    17. Heinz, Malve & Galetti, Valeria & Holzkämper, Annelie, 2024. "How to find alternative crops for climate-resilient regional food production," Agricultural Systems, Elsevier, vol. 213(C).
    18. Rigolot, C. & de Voil, P. & Douxchamps, S. & Prestwidge, D. & Van Wijk, M. & Thornton, P.K. & Rodriguez, D. & Henderson, B. & Medina, D. & Herrero, M., 2017. "Interactions between intervention packages, climatic risk, climate change and food security in mixed crop–livestock systems in Burkina Faso," Agricultural Systems, Elsevier, vol. 151(C), pages 217-224.
    19. Jialing Teng & Ruixing Hou & Jennifer A. J. Dungait & Guiyao Zhou & Yakov Kuzyakov & Jingbo Zhang & Jing Tian & Zhenling Cui & Fusuo Zhang & Manuel Delgado-Baquerizo, 2024. "Conservation agriculture improves soil health and sustains crop yields after long-term warming," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kang, Min & Zhang, Dongzheng & Cao, Yuan & Xiao, Liujun & Tang, Liang & Liu, Leilei & Cao, Weixing & Zhu, Yan & Liu, Bing, 2026. "Integrative adaptation strategies for stabilizing wheat productivity with rising temperatures in China," Agricultural Systems, Elsevier, vol. 231(C).
    2. Yang, Xuan & Jia, Pengfei & Hou, Qingqing & Zhu, Min, 2023. "Quantitative sensitivity of crop productivity and water productivity to precipitation during growth periods in the Agro-Pastoral Ecotone of Shanxi Province, China, based on APSIM," Agricultural Water Management, Elsevier, vol. 283(C).
    3. Xinran Xie & Tong Xia & Yong Li & Yining Shi, 2025. "Online food delivery under extreme heat: a case study of Beijing," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-10, December.
    4. Ayla Amamou & Safa Chabouh & Lilia Sidhom & Alaeddine Zouari & Abdelkader Mami, 2025. "Agri-Food Supply Chain Sustainability Indicators from a Multi-Capital Perspective: A Systematic Review," Sustainability, MDPI, vol. 17(9), pages 1-34, May.
    5. Bourbour, Hanie & Abdolahipour, Mohammad & Abdollahi, Hojjat & Abiar, Ershad & Mashal, Mahmoud, 2025. "Pre-harvest forecasting of rainfed wheat yield in Iran using multi-source remote sensing and machine learning," Agricultural Water Management, Elsevier, vol. 322(C).
    6. Chen, Shang & He, Liang & Cao, Yinxuan & Wang, Runhong & Wu, Lianhai & Wang, Zhao & Zou, Yufeng & Siddique, Kadambot H.M. & Xiong, Wei & Liu, Manshuang & Feng, Hao & Yu, Qiang & Wang, Xiaoming & He, J, 2021. "Comparisons among four different upscaling strategies for cultivar genetic parameters in rainfed spring wheat phenology simulations with the DSSAT-CERES-Wheat model," Agricultural Water Management, Elsevier, vol. 258(C).
    7. Mohamed Amine Benaly & Youssef Brouziyne & Mohamed Hakim Kharrou & Abdelghani Chehbouni & Lhoussaine Bouchaou, 2025. "Crop modeling to address climate change challenges in Africa: status, gaps, and opportunities," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 30(2), pages 1-30, February.
    8. Onyekwelu, Ikenna & Zipper, Sam & Welch, Stephen & Sharda, Vaishali, 2025. "Quantifying future climate impacts on maize productivity under different irrigation management strategies: A high-resolution spatial analysis in the U.S. Great Plains," Agricultural Water Management, Elsevier, vol. 313(C).
    9. Dennis Junior Choruma & Frank Chukwuzuoke Akamagwuna & Nelson Oghenekaro Odume, 2022. "Simulating the Impacts of Climate Change on Maize Yields Using EPIC: A Case Study in the Eastern Cape Province of South Africa," Agriculture, MDPI, vol. 12(6), pages 1-24, May.
    10. Annelie Holzkämper, 2017. "Adapting Agricultural Production Systems to Climate Change—What’s the Use of Models?," Agriculture, MDPI, vol. 7(10), pages 1-15, October.
    11. Tien-Cheng Wang & Anna Moritz & Mahmoud Mabrouk & Emilio Villar Alegría & Burak Arinalp & Eliyeh Ganji & Lukas Förter & Benjamin Wittkop & Eva Herzog & Rod J. Snowdon & Andreas Stahl & Tsu-Wei Chen, 2026. "Plasticity of source-sink dynamics contributes to wheat yield stability," Nature Communications, Nature, vol. 17(1), pages 1-15, December.
    12. Valentina Mereu & Gianluca Carboni & Andrea Gallo & Raffaello Cervigni & Donatella Spano, 2015. "Impact of climate change on staple food crop production in Nigeria," Climatic Change, Springer, vol. 132(2), pages 321-336, September.
    13. Noora Al-Abdelmalek & Murat Kucukvar & Nuri C. Onat & Enas Fares & Hiba Ayad & Muhammet Enis Bulak & Banu Y. Ekren & Yiğit Kazancoglu & Kadir Ertogral, 2023. "Transforming Challenges into Opportunities for Qatar’s Food Industry: Self-Sufficiency, Sustainability, and Global Food Trade Diversification," Sustainability, MDPI, vol. 15(7), pages 1-13, March.
    14. Dunnett, A. & Shirsath, P.B. & Aggarwal, P.K. & Thornton, P. & Joshi, P.K. & Pal, B.D. & Khatri-Chhetri, A. & Ghosh, J., 2018. "Multi-objective land use allocation modelling for prioritizing climate-smart agricultural interventions," Ecological Modelling, Elsevier, vol. 381(C), pages 23-35.
    15. Zsolt Pinke & Tamás Ács & Péter Kalicz & Zoltán Kern & Attila Jambor, 2024. "Hotspots in the EU‐27 and Economic Consequences of the 2022 Spring‐Summer Drought," EuroChoices, The Agricultural Economics Society, vol. 23(1), pages 28-33, April.
    16. Ting Hua & Xiangping Hu & Gunnar Austrheim & James D. M. Speed & Bob van Oort & Francesco Cherubini, 2025. "Reconciling crop production, climate action and nature conservation in Europe by agricultural intensification and extensification," Nature Communications, Nature, vol. 16(1), pages 1-18, December.
    17. Geetilaxmi Mohapatra & Meera George & Suchitra Pandey, 2022. "Vulnerability And Adaptation To Climate Change In Rajasthan," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 67(234), pages 109-138, July – Se.
    18. Fang Yin & Ziyue Jin & Jiazheng Zhu & Lei Liu & Danyun Zhao, 2021. "Spatial Assessment of Jerusalem Artichoke’s Potential as an Energy Crop in the Marginal Land of the Shaanxi Province, China," Sustainability, MDPI, vol. 13(24), pages 1-14, December.
    19. Risto Conte Keivabu & Rumi Chunara, 2026. "Monsoon weather and food security in Pakistan," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 18(2), pages 361-376, April.
    20. Tarhini Mahmoud & Petre Ionut Laurentiu & Dimitriu Anton Theodor & Zemelaga Catalin Gheorghe, 2024. "Coordinates of Food and Nutrition Security in States with Limited Agricultural Resources," Proceedings of the International Conference on Business Excellence, Paradigm, vol. 18(1), pages 1702-1711.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:319:y:2025:i:c:s0378377425005335. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.