Economic Vulnerability of Cereal Production in Northern Algeria under Climate Change: Cost-Benefit Analysis of Adaptation Strategies Using DSSAT-SWOT
Biotechnology Laboratory, Higher National School of Biotechnology Taoufik KHAZNADAR, Nouveau Pôle Universitaire Ali Mendjeli, BP E66, Constantine 25000, Algeria
DOI: https://doi.org/10.36956/rwae.v6i4.2278
Received: 13 June 2025 | Revised: 22 July 2025 | Accepted: 31 July 2025 | Published Online: 24 September 2025
Copyright © 2025 MAROUF ARIBI Mohamed. Published by Nan Yang Academy of Sciences Pte. Ltd.
This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.
Abstract
This study examines the economic vulnerability of cereal production to climate change across four key regions of northern Algeria, Blida, Tizi Ouzou, Tiaret, and Sétif, selected for their agro-climatic diversity and strategic contribution to national grain supply. By integrating DSSAT crop modeling with a SWOT-AHP multi-criteria framework, the research evaluates adaptation strategies through a cost-benefit perspective. Climate projections under RCP4.5 and RCP8.5 (2025–2050) suggest potential cereal yield declines of 18% to 40% by mid-century, which could raise annual cereal import costs by $1.2 billion and result in the loss of up to 12,000 agricultural jobs. Among the climatic constraints, heat stress during the flowering stage emerges as the most critical yield-limiting factor. Stakeholder-weighted prioritization highlights drip irrigation (BCR = 2.8) and drought-tolerant seed varieties (BCR = 1.9) as the most economically viable interventions, though both require substantial initial investment (≈ $500 million) and subsidy reforms. The findings reveal significant trade-offs within Algeria’s agricultural policy but underscore that reallocating existing cereal subsidies toward climate-smart technologies could considerably strengthen resilience while maintaining food security in semi-arid regions. Beyond Algeria, the study provides a replicable framework for other countries facing similar climate–agriculture challenges, combining biophysical modeling with participatory decision-making to guide cost-effective adaptation.
Keywords: Climate Adaptation; Agricultural Economics; Cost‑Benefit Analysis; DSSAT Modeling; Food Security
References
[1] Zampieri, M., Ceglar, A., Dentener, F., et al., 2017. Wheat Yield Loss Attributable to Heat Waves, Drought and Water Excess at the Global, National and Subnational Scales. Environmental Research Letters. 12(6), 064008. DOI: https://doi.org/10.1088/1748-9326/aa723b
[2] Iglesias, A., Mougou, R., Moneo, M., et al., 2011. Towards Adaptation of Agriculture to Climate Change in the Mediterranean. Regional Environmental Change. 11(Suppl. 1), 159–166. DOI: https://doi.org/10.1007/s10113-010-0187-4
[3] FAO, 2023. The State of Food and Agriculture 2023: Climate-Smart Agriculture for Food Security. FAO: Rome, Italy.
[4] IPCC, 2021. Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC: Geneva, Switzerland.
[5] World Bank, 2022. Agricultural Climate Risk Profile for Algeria. World Bank: Washington, DC, USA.
[6] Ben Mohamed, A., Chehma, A., Meddi, M., 2020. Climate Change and Cereal Production in Algeria: Impacts and Adaptation Strategies. Agricultural Water Management. 239, 106271. DOI: https://doi.org/10.1016/j.agwat.2020.106271
[7] Haddad, M., Lounis, M., Mekki, I., 2023. Evaluation of Cereal Cropping Systems under Climate Change Scenarios in Semi-Arid Algeria. Climate Risk Management. 41, 100509. DOI: https://doi.org/10.1016/j.crm.2023.100509
[8] Jones, J.W., Hoogenboom, G., Porter, C.H., et al., 2003. The DSSAT Cropping System Model. European Journal of Agronomy. 18(3–4), 235–265. DOI: https://doi.org/10.1016/S1161-0301(02)00107-7
[9] Hoogenboom, G., Porter, C.H., Shelia, V., et al., 2019. The DSSAT Crop Modeling Ecosystem. In: Schmoldt, D.L., Kangas, J., Mendoza, G.A., et al. (Eds.). The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making. Managing Forest Ecosystems. Springer: Dordrecht, The Netherlands. pp. 173–216. DOI: https://doi.org/10.1201/9780429266591
[10] Timsina, J., Humphreys, E., 2006. Performance of CERES Rice and CERES Wheat Models in Rice–Wheat Systems: A Review. Agricultural Systems. 90(1–3), 5–31. DOI: https://doi.org/10.1016/j.agsy.2005.11.007
[11] Nikulin, G., Jones, C., Giorgi, F., et al., 2012. Precipitation Climatology in an Ensemble of CORDEX Africa Regional Climate Simulations. Journal of Climate. 25(18), 6057–6078. DOI: https://doi.org/10.1175/JCLI-D-11-00375.1
[12] Maraun, D., Wetterhall, F., Ireson, A.M., et al., 2010. Precipitation Downscaling under Climate Change. Reviews of Geophysics. 48(3). DOI: https://doi.org/10.1029/2009RG000314
[13] Teutschbein, C., Seibert, J., 2012. Bias Correction of Regional Climate Model Simulations for Hydrological Climate-Change Impact Studies: Review and Evaluation of Different Methods. Journal of Hydrology. 456–457, 12–29. DOI: https://doi.org/10.1016/j.jhydrol.2012.05.052
[14] Saaty, T.L., 1980. The Analytic Hierarchy Process. McGraw-Hill: New York, NY, USA.
[15] Kurttila, M., Pesonen, M., Kangas, J., et al., 2000. Utilizing the Analytic Hierarchy Process (AHP) in SWOT Analysis—A Hybrid Method and Its Application to a Forest-Certification Case. Forest Policy and Economics. 1(1), 41–52. DOI: https://doi.org/10.1016/S1389-9341(99)00004-0
[16] Pesonen, M., Ahola, J., Kurttila, M., et al., 2001. Applying A’WOT to Forest Industry Investment Strategies: Case Study of a Finnish Company in North America. In: Schmoldt, D.L., Kangas, J., Mendoza, G.A., et al., (Eds.). The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making. Managing Forest Ecosystems. Springer: Dordrecht, The Netherlands. Volume 3, pp. 207–226. DOI: https://doi.org/10.1007/978-94-015-9799-9_12
[17] Boardman, A.E., Greenberg, D.H., Vining, A.R., et al., 2018. Cost-Benefit Analysis: Concepts and Practice, 5th ed. Cambridge University Press: Cambridge, UK.
[18] FAO, 2017. The Future of Food and Agriculture – Trends and Challenges. FAO: Rome, Italy.
[19] World Bank, 2019. Implementing Agriculture Adaptation in Practice. World Bank: Washington, DC, USA.
[20] Asseng, S., Ewert, F., Martre, P., et al., 2015. Rising Temperatures Reduce Global Wheat Production. Nature Climate Change. 5, 143–147. DOI: https://doi.org/10.1038/nclimate2470
[21] Webber, H., Ewert, F., Olesen, J.E., et al., 2018. Diverging Importance of Drought Stress for Maize and Winter Wheat in Europe. Nature Communications. 9, 4249. DOI: https://doi.org/10.1038/s41467-018-06525-2
[22] Liu, B., Martre, P., Ewert, F., et al., 2018. Global Wheat Production with 1.5 and 2.0 °C above Pre-Industrial Warming. Global Change Biology. 26(11), 6211–6224. DOI: https://doi.org/10.1111/gcb.14542
[23] Cramer, W., Guiot, J., Fader, M., et al., 2018. Climate Change and Interconnected Risks to Sustainable Development in the Mediterranean. Nature Climate Change. 8, 972–980. DOI: https://doi.org/10.1038/s41558-018-0299-2
[24] Deryng, D., Conway, D., Ramankutty, N., et al., 2014. Global Crop Yield Response to Extreme Heat Stress under Multiple Climate Change Futures. Environmental Research Letters. 9(3), 034011. DOI: https://doi.org/10.1088/1748-9326/9/3/034011
[25] Jägermeyr, J., Müller, C., Ruane, A.C., et al., 2021. Climate Impacts on Global Agriculture Emerge Earlier in New Generation of Climate and Crop Models. Nature Food. 4(2), 97–112. DOI: https://doi.org/10.1038/s43016-021-00400-y
[26] Lennox, E., 2015. Double Exposure to Climate Change and Globalization in a Peruvian Highland Community. Society & Natural Resources. 28(7), 781–796. DOI: https://doi.org/10.1080/08941920.2015.1024364
[27] Ali, E.B., Agyekum, E.B., Adadi, P., 2021. Agriculture for Sustainable Development: A SWOT-AHP Assessment of Ghana’s Planting for Food and Jobs Initiative. Sustainability. 13(2), 628. DOI: https://doi.org/10.3390/su13020628
[28] Mungai, E.M., Ndiritu, S.W., Da Silva, I., 2021. Unlocking Climate Finance Potential for Climate Adaptation: Case of Climate Smart Agricultural Financing in Sub-Saharan Africa. In: African Handbook of Climate Change Adaptation. Springer International Publishing: Cham, Switzerland. pp. 2063–2083.
[29] Mangole, C.D., Maina, C.M., Mulungu, K., et al., 2025. Adoption of Sustainable Land and Water Management Practices and Their Impact on Crop Productivity among Smallholder Farmers in Sub-Saharan Africa. Land Use Policy. 153, 107533. DOI: https://doi.org/10.1016/j.landusepol.2025.107533
[30] Ifejika Speranza, C., 2010. Resilient Adaptation to Climate Change in African Agriculture. Studies No. 54. Deutsches Institut für Entwicklungspolitik (DIE): Bonn, Germany.