The objectives of this study were to (1) develop a participatory method to delineate distinct agricultural landscapes and map the adaptive capacity of smallholder farmers in data-limited contexts, (2) apply the method systematically to understand the adaptive capacity of smallholder farmers in three Central American countries (Costa Rica, Guatemala, and Honduras), and (3) use the information generated to understand the variation in adaptive capacity of smallholder farmers across farming systems and regions
The efforts to adapt to climate change in developing countries are in their infancy, and hopefully CSA will be a major contributor to these efforts. But CSA itself is evolving, and there is a growing need to refine and adapt it to the changing realities. This section of the book focus on the implications of the empirical findings for devising effective strategies and policies to support resilience and the implications for agriculture and climate change policy at national, regional and international levels.
Durante la IX Reunión del Grupo Técnico de Investigación, Tecnología, Transferencia e Innovación del CAC el 28 de noviembre de los corrientes en la ciudad de Panamá. Para el PDRR la agricultura familiar necesita de nuevos y fortalecidos sistemas locales de innovación que sean especializados para su actividad, esto requiere de una agenda planificada desde los territorios con el fin de atender las demandas de los productores familiares.
El presente documento es un conjunto de estudios realizados en 2015 en ocho países y es complementario al ya publicado en 2014 y reeditado/actualizado por el IICA en 2016 con el título “Políticas públicas y Agriculturas familiares en América Latina y el Caribe: balance, desafíos y perspectivas” coordinado por Eric Sabourin, Mario Samper y Octavio Sotomayor, considerando que el 2014 fue declarado Año Internacional de la Agricultura Familiar.
Des changements dans les agendas des politiques publiques des Comités Nationaux de l’Agriculture Familiale des Philippines, du Honduras, du Burkina Faso et du Sénégal seront soutenus techniquement et économiquement. La création d’un nouveau Comité au Tchad sera également appuyée.
According to the authors of this paper, actual methods of scaling are rather empirical and based on the premise of ‘find out what works in one place and do more of the same, in another place’. These methods thus would not sufficiently take into account complex realities beyond the concepts of innovation transfer, dissemination, diffusion and adoption. As a consequence, scaling initiatives often do not produce the desired effect.
This paper characterises some of the main issues confronting water-catchment managing in a climate-changing world and addresses wide-spread concerns about the lack of connectivity between science, policy making and implementation. The paper’s arguments are ‘framed’ within a paradigm of systemic and adaptive governing, regulating, planning and managing understood as a nested systemic hierarchy. It is argued that climate change adaptation is best understood as a coevolutionary dynamic, principally, but not exclusively between human beings and the biophysical world.
There is an ongoing debate on what constitutes sustainable intensification of agriculture (SIA). In this paper, we propose that a paradigm for sustainable intensification can be defined and translated into an operational framework for agricultural development. We argue that this paradigm must now be defined—at all scales—in the context of rapidly rising global environmental changes in the Anthropocene, while focusing on eradicating poverty and hunger and contributing to human wellbeing.
Understanding diversity of smallholder farm households is of critical importance for the success of development interventions. Farming households often will devise livelihood strategies that provide the best guarantee for survival and based on their socioeconomic vulnerability. This study examines how achievements from the Integrated Agricultural Research for Development (IAR4D) approach through participation in innovation platform activities accrue to smallholder farming households of diverse socioeconomic status.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.