The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Developing climate-smart agriculture to face climate variability in West Africa: Challenges and lessons learnt
Open accessAbstract
This paper reviewed the prospects for climate-smart agriculture (CSA) development and promotion in West Africa as well as lessons learnt and challenges with a focus on climate change and variability. It was evident from the literature that West Africa is vulnerable to climate change and variability, on account of its socio-economic and physical characteristics. As climate change and variability persists, the region's quest to use agriculture as the mainstream opportunity to deliver on set targets of the sustainable development goals will be strongly challenged without appropriate interventions. Adopting CSA seems to be a suitable strategy to achieving food security while also mitigating and adapting to climate-related risks. Among numerous CSA technologies, the review found (1) agroforestry (farmer-managed natural regenerations), soil and water conservation technologies (zai, half-moon, tie/contour ridges, conservation agriculture) and (3) climate information services as highly valued promising options for climate change adaptation and risk management in West Africa. In addition, institutional settings at the community, national and regional levels such as the establishment of multi-stakeholder innovation platforms, national science policy dialogue platforms on CSA in parts of West Africa and the formulation of the West Africa CSA Alliance were found to be crucial in promoting capacity development and awareness of CSA technologies and innovations in the region. The review found that CSA still faces a number of challenges, including: lack of clear conceptual understanding, limited enabling policy and financing. The prospects of CSA in West Africa hinge on the capacities of farming households and the region's national institutions to understand the environmental, economic and social challenges in the context of climate change, and consequently self-mobilize to develop and implement responsive policies at appropriate scales.
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Cites
Climate-smart agriculture for food security
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Self-citationConservation agriculture and smallholder farming in Africa : the heretics ’ view
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The spread of Conservation Agriculture: justification, sustainability and uptake
Kassam, A., Friedrich, T., Shaxson, F., & Pretty, J. (2009) · International Journal of Agricultural Sustainability · doi:10.3763/ijas.2009.0477 · Cited by 866
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Evergreen Agriculture: a robust approach to sustainable food security in Africa
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The yield gap of global grain production: A spatial analysis
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“, 2011), there is limited attention to lessons learnt and challenges that confront the development and adoption of agricultural practices that counter climate change (Neumann et al., 2010).”
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Solar-powered drip irrigation enhances food security in the Sudano–Sahel
Burney, J., Woltering, L., Burke, M., Naylor, R., & Pasternak, D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0909678107 · Cited by 315
Rebuilding Resilience in the Sahel: Regreening in the Maradi and Zinder Regions of Niger
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Metadata
- Authors
- Partey, S. T., Zougmoré, R. B., Ouédraogo, M., & Campbell, B. M.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 187
- Pages
- 285-295
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2792955978
- Cited by
- 298
- References
- 48
- FWCI
- 15.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Partey, S. T., Zougmoré, R. B., Ouédraogo, M., & Campbell, B. M. (2018). Developing climate-smart agriculture to face climate variability in West Africa: Challenges and lessons learnt. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.03.199
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.