Le présent rapport concerne l’évaluation finale du projet «Intégration de la résilience climatique dans la production agricole et pastorale pour la sécurité alimentaire dans les zones rurales vulnérables à travers l’approche des champs-écoles des producteurs» (GCP/NER/043/LDF) financé par le Fonds pour l’environnement mondial (FEM) et exécuté conjointement par l’Organisation des Nations Unies pour l'alimentation et l'agriculture (FAO) et le Gouvernement du Niger de 2015 à 2021.
Rainfed agriculture accounts for more than half of the world’s food production but is facing increasing precipitation variability, driven by climate change. Achieving zero hunger will require improvements in rainwater management to increase productivity. About 45 percent of global rainfed cropland is still under low-input production systems. These are concentrated mostly in lower-income countries, which face multiple challenges in addressing the growing water shortages. Improved water management practices must be combined with the best agronomic practices for enhanced effectiveness.
Agricultural research and extension systems are central to unlock the potential of agricultural innovation and achieve the Sustainable Development Goals. Public agricultural research, extension and advisory services are essential for increasing productivity and promoting sustainable agricultural growth and alleviating poverty.
The timeline tool is generally put to use when stakeholders embark upon the self-assessment phase of their innovation partnership. Stakeholders are asked to recall moments they feel were significant for the partnership, from its beginning to the present and to reflect upon how the partnership has evolved since it began.
Social Network Analysis is a practical and useful tool that looks at the linkages present in an innovation network and monitors their development over time. It maps the relationships between the stakeholders in the network and highlights the changes between them.
This tool enables participants to become cognisant of the functional capacities discovered through the capacity scoring questionnaire, and test the limits of these capacities through simulations or role-playing (e.g. problem-solving, collaboration, information sharing, and engagement). The simulation game leads to an intuitive understanding of innovation capacities and of the importance of the enabling environment, helping participants to learn about the significance of these capacities.
This tool was designed to assess innovation capacities, identify strengths and weaknesses and monitor capacity changes over time. The scoring tool makes it clear which functional capacities are going to be needed to promote, lead or successfully participate in innovation processes. The tool evaluates capacities on the basis of 21 indicators (each of which is graded on a scale from 0 (low capacity) to 3 (high capacity), and build on the key innovation capacities identified in the capacity needs assessment.
The scoping study explores the nature and dynamics of the agricultural innovation system in order to disclose past and ongoing investments and mechanisms relating to AIS in the country. In particular, the study looks into the various initiatives and projects that support capacity development processes.
This tool is a simple tool to map out the current status of the AIS, and to discover where the actors want to go. The rich picture tool can be used both to describe the current situation and to illustrate future plans. A rich picture opens up discussions and helps participants reach a broad and collective understanding of the situation.
The capacity-focused problem tree pinpoints a core capacity issue, along with its causes and effects. It helps clarify the precise capacity-development objectives that the intervention aims to achieve. The focus should be on functional capacity, but room should be left to acknowledge technical capacity issues too.