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Crop modeling to address climate change challenges in Africa: status, gaps, and opportunities

Author

Listed:
  • Mohamed Amine Benaly

    (Mohammed VI Polytechnic University (UM6P))

  • Youssef Brouziyne

    (MENA Office)

  • Mohamed Hakim Kharrou

    (Mohammed VI Polytechnic University (UM6P))

  • Abdelghani Chehbouni

    (Institut de Recherche pour le Développement (IRD), Unité Mixte de Recherche (UMR), Centre D’études Spatiales de la Biosphère (Cesbio)
    Mohammed VI Polytechnic University)

  • Lhoussaine Bouchaou

    (Mohammed VI Polytechnic University (UM6P)
    Laboratory of Applied Geology and Geo-Environment, Faculty of Sciences, Ibn Zohr University)

Abstract

Africa faces an urgent need to boost food production to satisfy the growing demand. Targeted investments in integrated agriculture and water management systems are essential to address this challenge. However, there is a lack of comprehensive information on the potential applications of climate-smart agriculture (CSA) and its perspectives. This paper reviews current crop modeling technologies and their applications in the context of climate change and the CSA framework in Africa. It assesses research trends in various crop simulation models, selected practices, and appropriate crops to improve crop productivity in a sustainable African environment. A total of 379 relevant papers were considered. Results showed that 55% of studies used process-based models, with Maize being the most studied crop. However, many priority crops in Africa have been overlooked in modeling studies. Additionally, more than 52% of studies have contributed to climate change adaptation strategies and reducing yield gaps. Only 12% of the modeling work focused on CSA practices and on integrated climate change mitigation and adaptation measures. Current simulation modeling studies in Africa have contributed to shaping CSA practices, but their impact is constrained by limited data quality, inadequate model calibration, and regional climate variability. Crop models can indeed help tailor CSA practices by identifying region-specific strategies under changing climate conditions, but they also need to integrate socio-economic factors like access to resources and farmer decision-making. Additionally, strengthening local research capacity and improving data infrastructure will be crucial for maximizing the effectiveness of these models in supporting future CSA adoption. To meet food security goals through sustainable agricultural practices in Africa, it is essential to adopt CSA frameworks with a robust climate change mitigation component. The research outcomes will offer a comprehensive evaluation of the prominent models used across Africa, providing a roadmap for future investigations to select adequate approaches and crops based on available data when implementing crop models for specific areas in Africa.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:masfgc:v:30:y:2025:i:2:d:10.1007_s11027-025-10199-9
    DOI: 10.1007/s11027-025-10199-9
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    References listed on IDEAS

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    1. Ayorinde Ogunyiola & Maaz Gardezi & Sumit Vij, 2022. "Smallholder farmers’ engagement with climate smart agriculture in Africa: role of local knowledge and upscaling," Climate Policy, Taylor & Francis Journals, vol. 22(4), pages 411-426, April.
    2. Maleka, Phiri, 1993. "An application of target MOTAD model to crop production in Zambia: Gwembe Valley as a case study," Agricultural Economics, Blackwell, vol. 9(1), pages 15-35, July.
    3. Wafula, Benson M., 1995. "Applications of crop simulation in agricultural extension and research in Kenya," Agricultural Systems, Elsevier, vol. 49(4), pages 399-412.
    4. Phiri Maleka, 1993. "An application of Target MOTAD Model to crop production in Zambia: Gwembe Valley as a case study," Agricultural Economics, International Association of Agricultural Economists, vol. 9(1), pages 15-35, July.
    5. Cynthia Rosenzweig & Francesco Tubiello, 2007. "Adaptation and mitigation strategies in agriculture: an analysis of potential synergies," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 12(5), pages 855-873, June.
    6. Epule, Terence Epule & Chehbouni, Abdelghani & Chfadi, Tarik & Ongoma, Victor & Er-Raki, Salah & Khabba, Said & Etongo, Daniel & Martínez-Cruz, Adán L. & Molua, Ernest L. & Achli, Soumia & Salih, Wiam, 2022. "A Systematic National Stocktake of Crop Models in Morocco," Ecological Modelling, Elsevier, vol. 470(C).
    7. Nouri, Milad & Homaee, Mehdi & Bannayan, Mohammad & Hoogenboom, Gerrit, 2017. "Towards shifting planting date as an adaptation practice for rainfed wheat response to climate change," Agricultural Water Management, Elsevier, vol. 186(C), pages 108-119.
    8. 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.
    9. Dilys S. MacCarthy & Myriam Adam & Bright S. Freduah & Benedicta Yayra Fosu-Mensah & Peter A. Y. Ampim & Mouhamed Ly & Pierre S. Traore & Samuel G. K. Adiku, 2021. "Climate Change Impact and Variability on Cereal Productivity among Smallholder Farmers under Future Production Systems in West Africa," Sustainability, MDPI, vol. 13(9), pages 1-22, May.
    10. Zhang, Yuxi & Walker, Jeffrey P. & Pauwels, Valentijn R.N., 2022. "Assimilation of wheat and soil states for improved yield prediction: The APSIM-EnKF framework," Agricultural Systems, Elsevier, vol. 201(C).
    11. Phiri, Austin T. & Edewor Sarah Edore & Charimbu Miriam Karwitha & Gaveta, Elias, 2022. "Sustainable Scaling of Climate Smart Agricultural Technologies and Practices in Africa: The Case of Kenya, Nigeria and Malawi," Working Papers fd32d38b-b6b1-4e34-98b8-3, African Economic Research Consortium.
    12. Shen Yuan & Bruce A. Linquist & Lloyd T. Wilson & Kenneth G. Cassman & Alexander M. Stuart & Valerien Pede & Berta Miro & Kazuki Saito & Nurwulan Agustiani & Vina Eka Aristya & Leonardus Y. Krisnadi &, 2021. "Sustainable intensification for a larger global rice bowl," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
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