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.
This report, drawing on a rapid desk-based review, seeks to outline the potential role of Afican Advisory Services (AAS) in addressing climate change and explores how far AAS in sub-Saharan Africa (SSA) are able to respond to climatic and other pressures. Recommendations are outlined, indicating how AFAAS can help AAS to understand climate change better and become more ‘adaptive’ in their responses
The project case-studies described in this document a range of local-level, mainly donor-funded projects in four countries (Sierra Leone, Benin, Uganda and Mozambique). These projects incorporate climate change in their design and rationale in different ways, but generally base themselves on broad-brush climate trends or climate uncertainty rather than on specific downscaled projections. They also demonstrate a continuum ranging from pure knowledge provision, through breeding, seed supply, input provision and marketing, to provision of hardware and infrastructure, especially in irrigation.
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.
This study addresses this particular research gap by adopting a multi-scale approach to understand how climatic and non-climatic stressors vary, and interact, across three spatial scales (household, community and district levels) to influence livelihood vulnerability of smallholder farming households in the Savannah zone of northern Ghana. This study across three case study villages utilises a series of participatory tools including semi-structured interviews, key informant interviews and focus group discussions.