Dans le besoin urgent de lutter contre le changement climatique, une priorité essentielle est de renforcer la capacité de ces groupes et communautés les plus vulnérables, et déjà fortement affectés, à améliorer leur capacité à adapter leurs systèmes de subsistance.
As calls for bolstering environmental services on croplands have grown more insistent during the past two decades, the search for ways to foster sustainable, reduced input agriculture has become more urgent. In this context authors re-examine by means of a meta-analysis the argument, first proposed by Robert McC. Netting, that small scale, mixed crop – livestock farming, a common livelihood among poor rural peoples, encourages environmentally sustainable agricultural practices.
Although agricultural value chain resilience is a crucial component to food security and sustainable food systems in developing countries, it has received little attention. This paper synthesizes knowledge from the social-ecological systems (SES), supply chain management, and value chain development literature to make three contributions to this research gap. First, it is conceptualized the agricultural value chain resilience and relate it to overall food system resilience.
Today, technological global agri-food economies dominated by vertically integrated large enterprises are failing in meeting the challenge of feeding a growing global population within the limits of the “Planetary Boundaries”, and are characterised by a “triple fracture” between agri-food economies and their three constitutive elements: nature, consumers, and producers. In parallel to this crisis, new eco-ethical-driven agri-food economies are built around new farming and food distribution practices to face the challenge of food system transition to sustainability.
The aim of this report is to provide a detailed review of documented social learning processes for climate changeand natural resource managementas described in peer-reviewed literature. Particular focus is on identifying (1) lessons and principles, (2) tools and approaches, (3) evaluation of social learning, as well as (4) concrete examples of impacts that social learning has contributed to.
Communications and knowledge management are essential activities to help the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) achieve its development outcomes. Strategic and complementary communication helps highlight success stories, support a change in behaviour in next-users while expanding the program’s reach. This in turn will help Flagships and regions follow impact pathways and reach outcomes. This is CCAFS Program Approach to Communication.
This is an internal document for the phase I of CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). The phase II capacity development strategy can be found here: https://hdl.handle.net/10568/82591. Capacity enhancement is a central priority for CCAFS.
In developing regions with high levels of poverty and a dependence on climate sensitive agriculture, studies focusing on climate change adaptation, planning, and policy processes, have gained relative importance over the years. This study assesses the impact of farmer perceptions regarding climate change on the use of sustainable agricultural practices as an adaptation strategy in the Chinyanja Triangle, Southern Africa.
Small-scale farmers in the Brazilian Amazon collectively hold tenure over more than 12 million ha of permanent forest reserves, as required by the Forest Code. The trade-off between forest conservation and other land uses entails opportunity costs for them and for the country, which have not been sufficiently studied. We assessed the potential income generated by multiple use forest management for farmers and compared it to the income potentially derived from six other agricultural land uses.
The study first identified fully efficient farmers and then estimated technical efficiency of inefficient farmers, identifying their determinants by applying a Zero Inefficiency Stochastic Frontier Model (ZISFM) on a sample of 300 rice farmers from central-northern Thailand. Next, the study developed scenarios of potential production increase and resource conservation if technical inefficiency was eliminated. Results revealed that 13% of the sampled farmers were fully efficient, thereby justifying the use of our approach.