This paper examines how the different institutional innovations arising from various permutations of linkages and interactions of ARD organizations (national, international advanced agricultural research centres and universities) influenced the different outcomes in addressing identified ARD problems.

How effective are multi-stakeholder scenarios-building processes to bring diverse actors together and create a policy-making tool to support sustainable development and promote food security in the developing world under climate change? The effectiveness of a participatory scenario development process highlights the importance of “boundary work” that links actors and organizations involved in generating knowledge on the one hand, and practitioners and policymakers who take actions based on that knowledge on the other.

This training-of-trainers manual is designed to train you to be able to deliver a capacity enhancement workshop (CEW) to rural women on climate change and gender. It has been designed by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and is appropriate to the South Asian context.

This working paper offers an overview of current theory and practice on climate change communication and social learning in the global South with a view of informing CCAFS strategy in this area. It presents a theoretical framework for understanding social learning and communication approaches and reviews the current landscape of approaches, tools and decision aids in communicating climate change in the context of development.

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.

Efficient water allocation for sustainable irrigated agriculture has become a growing concern, especially in transboundary river basins where the competition between upstream and downstream countries is substantially increasing. In this paper, the Diyala basin, one of the most water-stressed basins shared between Iraq and Iran, was used as an example case study. The water-stress situation is projected to get worse in the foreseeable future, as climate change adversely altered runoff at a time when demand for water is witnessing remarkable growth.

This paper has been prepared under the guidelines provided by the TAP Secretariat at the FAO, as a contribution to the G20 initiative TAP, which includes near 40 partners and is facilitated by FAO. Its purpose is to provide a Regional synthesis report on capacity needs assessment for agricultural innovation, with capacity gaps identified and analyzed, including recommendations to strengthen agricultural innovation systems (AIS) and draft policy recommendations to address the capacity gaps. 

The study report is based on case studies from Bangladesh (Sulaiman, 2010), Bolivia (Pafumi and Ulloa, 2010), DR Congo (Mbaye, 2010) and Ghana (Adjei-Nsiah and Dormon, 2010) which were carried out with the purpose of assessing needs and gaps with regard to the provision of innovation support services for climate change adaptation. It took the form of desk-studies complemented with key informant interviews.

Feeding an additional three billion people over the next four decades, along with providing food security for another one billion people that are currently hungry or malnourished, is a huge challenge. Meeting those goals in a context of land and water scarcity, climate change, and declining crop yields will require another giant leap in agricultural innovation. The aim of this paper is to stimulate a dialogue on what new approaches might be needed to meet these needs and how innovative funding mechanisms could play a role.

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.