This paper introduces the Multilevel Stakeholder Influence Mapping (MSIM) tool, which aims to assist analysts in the study of power dynamics across levels within climate adaptation regimes. The tool is adapted from the Stakeholder Influence-Mapping tool (2005) of the International Institute for Environment and Development (IIED). MSIM is a simple visual tool to examine and display the relative power/influence that different individuals and groups have over a focal issue—in this case, climate change adaptation of smallholder farmers.
This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. It is complemented by a further paper (Part I) by Boru Douthwaite and colleagues in the same issue of this journal which presents a case study of work conducted by the International Centre for Tropical Agriculture (CIAT). The prototype methods used in both Parts I and II are based on social network analysis (SNA) methodology.
A Communique summarizing the outputs of the GFAR Retreat held from 30th March to 1st April 2007 in Alexandria, Egypt.
The overall objective of the Comprehensive Assessment of the Agricultural Sector (CAAS) is to provide an evidence base to enable appropriate strategic policy responses by the Government of Liberia (GoL) and its development partners in order to maximize the contribution of the agriculture sector to the Government's overarching policy objectives. Given the strong relationship between growth in agricultural productivity and poverty reduction, future efforts in Liberia need to focus on productivity enhancing measures with a pro-poor focus that increase incomes.
Agroecology and organ agriculture present promising alternatives to the current food system, supported by a growing body of evidence. Despite the potential of AE/O, their full benefits cannot be realised in most countries due to political and institutional barriers and lock-ins, including incentives and funding that favour "business as usual" food systems. Overcoming present and future challenges will require educated and empowered stakeholders to support AE/O agriculture in their fields.
Nicaragua is the largest country in Central America, and agriculture is one of the engines of economic and social development. The agricultural sector contributes 16.1 percent of the Gross Domestic Product (GDP), 33 percent of formal employment and the food security of the population. There are 260 000 producers involved in agricultural production.
Nicaragua es el país más grande de América Central, y la agricultura es uno de los motores del desarrollo económico y social. El sector agrícola aporta el 16.1 por ciento del producto interno bruto (PIB), el 33 por ciento del empleo formal y la seguridad alimentaria de la población. Alrededor de la producción agropecuaria se integran 260 000 productores.
Local stakeholders and agricultural producers in Latin America have limited access to agroclimatic information and, when they do gain access to it, they have difficulty translating it into understandable and actionable knowledge. While climate services are recognized as contributing to bridging the gap between the generation of climate information and its use by stakeholders, their provision and use in Latin America still represents critical challenge.
Actores locales y productores agropecuarios en Latinoamérica tienen acceso limitado a la información agroclimática y, cuando logran acceder a ella, tienen dificultades para traducirla en conocimiento procesable y accionable. Si bien los servicios climáticos son reconocidos por contribuir a cerrar la brecha entre la generación de información climática y su uso por parte de las partes interesadas, su provisión y uso en Latinoamérica aún representa un desafío crítico.
The United Nations predicts that we need to increase food production globally by 70 percent to feed 9.6 billion people by 2050. But at the same time, given the climate crisis, we need to significantly reduce the use of energy, water, and land needed to produce food and lower its carbon footprint. In other words, we must figure out how to produce and distribute more food using fewer resources and emissions. We must learn to do farming better with less.