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Projection of Socio-Economic and Climate Scenarios’ Impacts on Food Security in West Africa: Case of Mali and Burkina Faso

DOI: 10.4236/oalib.1110224, PP. 1-26

Subject Areas: Food Science & Technology

Keywords: Cropland, Food Security, Climate Change, Climate Scenarios, Maize, Millet, Sorghum, West Africa

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Abstract

Variation in cropping areas’ size and food security is a major problem facing Mali and Burkina Faso. The growth of agricultural production, especially of staple crops, is a key element of food security. Maize, millet and sorghum are among the most widely grown cereal crops in West Africa [1]. Specifically, global statistics from FAOSTAT, show that more and more land is being taken up for cereal crops production to meet food demands. From 1999 to 2019, the area allocated to grow maize, millet and sorghum increased by 0.12%, 0.06%, and 0.05% in Mali, and by 0.08%, 0%, and 0.03% in Burkina Faso respectively. Based on the available literature and using statistical methods, this paper first investigated, on the one hand, how cultivated areas per capita are supposed to evolve in the future under the RCP4.5 climate scenario. On the other hand, what impact this evolution might have on agricultural yields. The results show some average decreases of 3% in Mali and a constant state of harvested area per capita in Burkina Faso, in the area of each selected crop. The attributed areas per capita average about 0.31 ha in Mali and 0.46 ha in Burkina Faso. The average yield per capita is about 442.44 kg in Mali, and 330.40 kg in Burkina Faso. Some 4% decreases in each crop yield are likely to occur in both countries under RCP4.5. Moreover, this thesis studied the future daily intake from each of the three main crops, in both countries. Although producing enough is not the only aspect of food security in a region, it is important to know how this might change over time.

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Diarisso, M. G. , Belem, M. , Daho, T. and Diallo, B. A. A. (2023). Projection of Socio-Economic and Climate Scenarios’ Impacts on Food Security in West Africa: Case of Mali and Burkina Faso. Open Access Library Journal, 10, e224. doi: http://dx.doi.org/10.4236/oalib.1110224.

References

[1]  Serba, D.D., et al. (2019) Genetic Diversity, Population Structure, and Linkage Disequilibrium of Pearl Millet. Plant Genome, 12, Article ID: 180091. https://doi.org/10.3835/plantgenome2018.11.0091
[2]  Brooks, N. (2004) Drought in the African Sahel: Long-Term Perspectives and Future Prospects. Tyndall Centre for Climate Change Research, Norwich, 1-38. https://www.researchgate.net/publication/220023784
[3]  Giannini, A., Biasutti, M. and Verstraete, M.M. (2008) A Climate Model-Based Review of Drought in the Sahel: Desertification, the Re-Greening and Climate Change. Global and Planetary Change, 64, 119-128. https://doi.org/10.1016/j.gloplacha.2008.05.004
[4]  Chapter 2—Special Report on Climate Change and Land. https://www.ipcc.ch/srccl/chapter/chapter-2
[5]  OECD and FAO (2016) OECD-FAO Agricultural Outlook 2016-2025.
[6]  Mougin, E., et al. (2009) The AMMA-CATCH Gourma Observatory Site in Mali: Relating Climatic Variations to Changes in Vegetation, Surface Hydrology, Fluxes and Natural Resources. Journal of Hydrology, 375, 14-33. https://doi.org/10.1016/j.jhydrol.2009.06.045
[7]  Sabola, T. (2017) Power Reforms Progressing Well. The Times Group, Mumbai, 1-27.
[8]  Hurtt, G.C., et al. (2020) Harmonization of Global Land Use Change and Management for the Period 850-2100 (LUH2) for CMIP6. Geoscientific Model Development, 13, 5425-5464. https://doi.org/10.5194/gmd-13-5425-2020
[9]  Draft, F.O., et al. (2011) Chapter 12: Long-Term Climate Change: Projections, Commitments and Irreversibility. 83-135.
[10]  FAO. https://data.apps.fao.org/catalog/dataset/crop-production-yield-harvested-area-global-national-annual-faostat
[11]  FAO (2021) Crop Yield: Maize, Millet, Sorghum. https://data.apps.fao.org/catalog/dataset/crop-production-yield-harvested-area-global-national-annual-faostat
[12]  Freduah, B.S., et al. (2019) Sensitivity of Maize Yield in Smallholder Systems to Climate Scenarios in Semi-Arid Regions of West Africa: Accounting for Variability in Farm Management Practices. Agronomy, 9, Article No. 639. https://doi.org/10.3390/agronomy9100639
[13]  Yarnell, A. (2008) Feeding Africa. Chemical & Engineering News, 86, 74. https://doi.org/10.1021/cen-v086n004.p074
[14]  Santpoort, R. (2020) The Drivers of Maize Area Expansion in Sub-Saharan Africa. How Policies to Boost Maize Production Overlook the Interests of Smallholder Farmers. Land, 9, Article No. 68. https://doi.org/10.3390/land9030068
[15]  Cisse, F., Erickson, D.P., Hayes, A.M.R., Opekun, A.R., Nichols, B.L. and Hamaker, B.R. (2018) Traditional Malian Solid Foods Made from Sorghum and Millet Have Markedly Slower Gastric Emptying than Rice, Potato, or Pasta. Nutrients, 10, 3-8. https://doi.org/10.3390/nu10020124
[16]  Anderson, G., et al. (2012, November) Climate Vulnerabilities and Development in Burkina Faso and Niger I Contents. https://www.climatelinks.org/sites/default/files/asset/document/Climate%20Vulnerabilities%20and%20Development%20in%20Burkina%20Faso%20and%20Niger.pdf
[17]  Thomson, A.M., et al. (2011) RCP4.5: A Pathway for Stabilization of Radiative Forcing by 2100. Climate Change, 109, 77-94. https://doi.org/10.1007/s10584-011-0151-4
[18]  Ministère de la Santé (2005) Table de composition des aliments du Burkina Faso. 25-27.
[19]  S. America (1997) Achieving Sustainable Gains in Agriculture. South Asia. http://www.fao.org/docrep/014/am859e/am859e01.pdf
[20]  Havlík, P., et al. (2015) Climate Change Impacts and Mitigation in the Developing World: An Integrated Assessment of the Agriculture and Forestry Sectors. World Bank Policy Research Working Paper No. 7477. https://doi.org/10.1596/1813-9450-7477
[21]  Chisanga, C.B., Phiri, E., Chinene, V.R.N. and Chabala, L.M. (2020) Projecting Maize Yield under Local-Scale Climate Change Scenarios Using Crop Models: Sensitivity to Sowing Dates, Cultivar, and Nitrogen Fertilizer Rates. Food and Energy Security, 9, e231. https://doi.org/10.1002/fes3.231
[22]  Bodirsky, B.L., Rolinski, S., Biewald, A., Weindl, I., Popp, A. and Lotze-Campen, H. (2015) Global Food Demand Scenarios for the 21st Century. PLOS ONE, 10, e0139201. https://doi.org/10.1371/journal.pone.0139201
[23]  Alexandratos, N., et al. (2006) Prospects for Food and Nutrition. World Agriculture towards 2030/2050. Interim Report. 19-41.

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