This report describes the work carried out by Institute of International Agriculture (IITA) and Olam in the Mt. Elgon region in Uganda to develop climate-smart agricultural (CSA) practices to help farmers to manage the specific effects of weather variability/climate change to that region and lay them out in a “Stepwise” pathway tailored to specific farmer segments to help them make smarter and more timely investment in resilience building practices.
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 capacité de la région Proche-Orient et Afrique du Nord à réaliser des avancées majeures dans la concrétisation du deuxième Objectif de développement durable (ODD 2) dépendra, dans une large mesure, de la gestion durable des ressources en eau pour l’agriculture et de l’adaptation au changement climatique. La transformation agricole dans cette partie du monde a suivi une trajectoire particulière ayant conduit à un déséquilibre entre le développement agricole rural et urbain, qui se manifeste de manière très visible dans les systèmes de production alimentaire.
In Bangladesh, IFPRI has received support from USAID through its Policy Research and Strategy Support Program in Bangladesh (PRSSP) to work in the geographic areas targeted by Feed the Future interventions (known as the Zone of Influence) to construct this new WEAI4VC module.
Como parte del proyecto insignia del IICA “Productividad y sustentabilidad de la agricultura familiar para la seguridad alimentaria y la economía rural” se realizó un ejercicio participativo para identificar y validar innovaciones que contribuyan a la mejora de los sistemas de agricultura familiar.
Las presentes Directrices voluntarias para lograr la sostenibilidad de la pesca en pequeña escala en el contexto de la seguridad alimentaria y la erradicación de la pobreza se han elaborado como complemento del Código de Conducta de la FAO para la Pesca Responsable (en adelante, el Código) de 1995. Se formularon a fin de proporcionar orientación complementaria respecto de la pesca en pequeña escala en apoyo de los principios y disposiciones generales del Código.
L’agriculture familiale est de loin la forme d’agriculture la plus répandue au monde, tant dans les pays développés que dans les pays en développement. Elle représente la principale source d’emplois dans le monde. C’est bien plus qu’une simple modalité de production alimentaire. C’est un mode de vie.
A complex systems approach to innovation provides rich insights into the drivers, barriers, and key elements for innovation in rural systems. Through a case study of dry direct seeding (DDS) in smallholder systems in Laos, this article reveals a “perfect storm” of challenges and opportunities resulting in rapid adoption. Labour shortage, climate variability, and machinery availability are key factors.