Towards developing scalable climate-smart village models approach and lessons learnt from pilot research in West Africa

Bayala, Jules; Zougmoré, Robert B.; Ky-Dembele, Catherine; Bationo, Babou André; Buah, S. S. J.; Sanogo, Diaminatou; Somda, Jacques; Abasse, Tougiani; Traoré, Kadari; Kalinganiré, Antoine

doi:10.5716/wp16051.pdf

Cited by 7 publications

(17 citation statements)

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“…Agriculture & Food Security *Correspondence: j.bayala@cgiar.org 1 World Agroforestry Centre (ICRAF), West and Central Africa Regional Office -Sahel Node, BP E5118, Bamako, Mali Full list of author information is available at the end of the article stimulate scaling of CSA. This approach is founded on the principles of participatory action research, for grounding research on appropriate and location-/context-specific enabling conditions, generating greater evidence of CSA effectiveness in a real-life setting and facilitating co-development of scaling mechanisms towards landscapes, subnational and national levels [12].…”

Section: Open Accessmentioning

confidence: 99%

“…These research activities were funded by the CGIAR Research Program on Climate Change Agriculture and Food Security (CCAFS) through a project titled "Developing community-based climate-smart agriculture through participatory action research in CCAFS benchmark sites in West Africa" (see [1]). This research action under the scientific lead of the World Agroforestry Centre (ICRAF) aimed to test and validate, in partnership with rural communities and other stakeholders, scalable climate-smart village models for agricultural development that integrate a range of innovative agricultural risk management strategies.…”

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confidence: 99%

“…All authors read and approved the final manuscript. 1 World Agroforestry Centre (ICRAF), West and Central Africa Regional OfficeSahel Node, BP E5118, Bamako, Mali. 2 International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), P. O.…”

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Editorial for the Thematic Series in Agriculture & Food Security: Climate-Smart Agriculture Technologies in West Africa: learning from the ground AR4D experiences

Bayala¹,

Zougmoré

Dayamba³

et al. 2017

Agric & Food Secur

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Section: Open Accessmentioning

confidence: 99%

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confidence: 99%

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Editorial for the Thematic Series in Agriculture & Food Security: Climate-Smart Agriculture Technologies in West Africa: learning from the ground AR4D experiences

Bayala¹,

Zougmoré

Dayamba³

et al. 2017

Agric & Food Secur

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“…In this context, regional stakeholders have partnered to develop CSA options using locally adapted participatory methods. This work has occurred under the Participatory Action Research (PAR) efforts of the Climate Change, Agriculture, and Food Security (CCAFS) program of CGIAR (Bayala et al, 2016(Bayala et al, , 2017Zougmoré et al, 2016;Dayamba et al, 2018;Partey et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Multi-Actors' Co-Implementation of Climate-Smart Village Approach in West Africa: Achievements and Lessons Learnt

Bayala¹,

Ky-Dembele²,

Dayamba

et al. 2021

Front. Sustain. Food Syst.

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Climate change and variability are significant challenges for the environment and food security worldwide. Development strategies focusing simultaneously on adaptive farming, productivity, and reducing greenhouse gas (GHG) emissions-known as climate-smart agriculture (CSA) strategies-are key to responding to these challenges. For almost a decade, within the framework of Climate Change, Agriculture and Food Security (CCAFS), World Agroforestry (ICRAF), and its partners have been using Participatory Action Research (PAR) to fully engage key stakeholders in co-creating such CSA development strategies. This includes the testing of Agricultural Research for Development (AR4D) CSA scalability options. The multidisciplinary teams include the National Research and Extension Systems (NARES), national meteorological services (NMS), non-profit organizations (NGOs), and local radio programs, among others. The CCAFS-West Africa Program, World Agroforestry-West and Central Africa (ICRAF-WCA), International Union for Conservation of Nature (IUCN), University of Reading, and Centre Régional de Formation et d'Application en Agro-météorologie et Hydrologie Opérationnelle (AGRHYMET) provide technical backstopping to the national teams. Climate information (CI) was used as an entry point to inform the development of CSA technologies and practices within Climate-Smart Villages (CSV). This groundwork has led to a greater understanding of three critical factors for successful CSV implementation: (1) Building strong partnerships to co-design and develop agricultural systems that improve ecosystem and population resilience, (2) Key stakeholders (researchers, farmers, development agents, and students) capacity strengthening through vocational and academic training, and (3) Using CI for livelihood planning at all scales. These three factors support more effective identification and testing of agricultural technologies and practices addressing climate variability and change at plot, community, and landscape levels. This paper discusses the PAR-CSA methodology and parameters for evaluation, including biophysical and social change. Keys to success, including communication, knowledge sharing tools, and scalability are also discussed. Finally, future opportunities for improvement are presented, including knowledge product development, CSA policy and investment planning, capacity building, further engagement of the private sector, and additional research on existing practices and tools.

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“…Consequently, there is a lack of consistency between the situation of vulnerability and adaptation actions [6]. Recently an holistic approach called climate-smart agriculture (CSA) is being promoted and consists in the use of climate information and context-based technologies and practices with the aim to improve productivity (food and nutrition security), increase resilience of the people and ecosystems (adaptation) and reduce greenhouse gases emission/sequester carbon when possible (mitigation) [7]. However, the rate of adopting climate-smart technologies and practices remains very low [8].…”

Section: Introductionmentioning

confidence: 99%

Participatory diagnosis and development of climate change adaptive capacity in the groundnut basin of Senegal: building a climate-smart village model

et al. 2017

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Background: Up to now, efforts to help local communities out of the food-insecurity trap were guided by researcher (or other actors)-led decisions on technologies to be implemented by the communities. This approach has proved inefficient because of low adoption of the so-called improved technologies. This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal. A CSV model is a participatory integrated approach using climate information, improved context-based technologies/practices aiming at reaching improved productivity (food and nutrition security), climate resilient people and ecosystem and climate mitigation. In this study, participatory vulnerability analysis, planning adaptation capacity and participatory communication for development were implemented, putting people affected by the impacts of climate change (CC) at the center of the approach. Four interdependent groups of activities/domains, namely-local and institutional knowledge, use of climate information services, development of climate-smart technology and local development plans, were covered. It was emphasized, how all this taken together could create improved livelihoods for women, men and vulnerable groups. Results:The approach made it possible to involve local people in the decision-making process for the development of their adaptation capacity to CC. It also helped to set up an overall land management process by identifying and addressing environmental (sustainable resource management, ecosystem resilience) and socioeconomic (institutional organization, empowerment, poverty alleviation and food security) challenges. A monitoring survey revealed that farmers appreciate well this participatory approach compared to previous top-down approach in that the former allow them to own the process. Also determinant drivers of adoption of the technologies were identified. Conclusion:Scaling this community development model in sites with similar climatic and socioeconomic conditions could help in contributing toward achieving food security in rural areas at wider scale because of better enthusiasm and engagement from rural farmers to pursue solution to their constraints taking into consideration constraints posed by climate and more need based and tailored advisory services.

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Towards developing scalable climate-smart village models approach and lessons learnt from pilot research in West Africa

Cited by 7 publications

References 4 publications

Editorial for the Thematic Series in Agriculture & Food Security: Climate-Smart Agriculture Technologies in West Africa: learning from the ground AR4D experiences

Editorial for the Thematic Series in Agriculture & Food Security: Climate-Smart Agriculture Technologies in West Africa: learning from the ground AR4D experiences

Multi-Actors' Co-Implementation of Climate-Smart Village Approach in West Africa: Achievements and Lessons Learnt

Participatory diagnosis and development of climate change adaptive capacity in the groundnut basin of Senegal: building a climate-smart village model

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