This chapter aims to shed light on the broad debate surrounding when and why farmers adopt agricultural innovations, especially in the context of multi-stakeholder platforms (MSP) seeking to scale climate-smart agriculture (CSA) practices. No research has yet tested the hypothesis that farmer entrepreneurship—defined as the innovative use of agricultural resources to create opportunities for value creation—may facilitate the adoption of CSA practices. This study is intended to fill that information gap.
This chapter assesses the potential of farmer-to-farmer extension (F2FE) as a low-cost approach for promoting CSA. It is based on surveys of extension program managers and farmer-trainers in Cameroon, Kenya and Malawi who are involved in promoting a wide range of agricultural practices, including CSA. In the F2FE approach, extension programs provide education for farmer-trainers, who in turn educate other farmers, typically 17–37 per year. Extension program managers find this approach to be effective in boosting their ability to reach large numbers of farmers.
Here, it is described a new participatory protocol for assessing the climate-smartness of agricultural interventions in smallholder practices. This identifies farm-level indicators (and indices) for the food security and adaptation pillars of CSA. It also supports the participatory scoring of indicators, enabling baseline and future assessments of climate-smartness to be made. The protocol was tested among 72 farmers implementing a variety of CSA interventions in the climate-smart village of Lushoto, Tanzania.
Recently, a new approach to extension and climate information services, namely Participatory Integrated Climate Services for Agriculture (PICSA) has been developed. PICSA makes use of historical climate records, participatory decision-making tools and forecasts to help farmers identify and better plan livelihood options that are suited to local climate features and farmers’ own circumstances.
Research-based evidence on the adoption of climate-smart agricultural practices is vital to their effective uptake, continued use and wider diffusion. In addition, an enabling policy environment at the national and regional levels is necessary for this evidence to be used effectively. This chapter analyzes a 4-year period of continuous policy engagement in East Africa in an attempt to understand the role of multi-stakeholder platforms (MSPs) in facilitating an enabling policy environment for climate change adaptation and mitigation.
La présente note a pour objet de donner des éléments aux décideurs, au niveau national, pour leur permettre de procéder à des évaluations et de prendre les mesures voulues concernant la sécurité alimentaire et la nutrition face au changement climatique. Elle comprend des informations générales sur l’effet que le changement climatique et la variabilité du climat ont sur les secteurs de l’agriculture et la sécurité alimentaire et la nutrition et sur la façon dont ces secteurs et les habitudes alimentaires contribuent aux émissions de gaz à effet de serre.
Background
Climate-smart agriculture (CSA) is an approach to help agricultural systems worldwide, concurrently addressing three challenge areas: increased adaptation to climate change, mitigation of climate change, and ensuring global food security – through innovative policies, practices, and financing. It involves a set of objectives and multiple transformative transitions for which there are newly identified knowledge gaps. We address these questions raised by CSA within three areas: conceptualization, implementation, and implications for policy and decision-makers.
This case study chronicles Uganda’s experiences developing a gender-responsive National Adaptation Plan for the Agricultural Sector (NAP-Ag) and related capacity development for gender-responsive planning, budgeting and policy formulation.
This study examines the influence of farmers’ social capital on their decisions to deal with climate change and climate variability in Burkina Faso. The study is based on a household survey conducted among 450 households, randomly selected from three communities in Burkina Faso.