This paper (Part I) present a case study of work conducted by the International Centre for Tropical Agriculture (CIAT) to adapt network mapping techniques to a rural and developing country context. It reports on work in Colombia to develop a prototype network diagnosis tool for use by service providers who work to strengthen small rural groups. It is complemented by a further paper in this issue by Louise Clark (Part II) which presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia.

This paper (Part I) present a case study of work conducted by the International Centre for Tropical Agriculture (CIAT) to adapt network mapping techniques to a rural and developing country context. It reports on work in Colombia to develop a prototype network diagnosis tool for use by service providers who work to strengthen small rural groups. It is complemented by a further paper in this issue by Louise Clark (Part II) which presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia.

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.

This article addresses the impact of Integrated Agricultural Research for Development (IAR4D) on food security among smallholder farmers in three countries of southern Africa (Zimbabwe, Mozambique and Malawi). Southern Africa has suffered continued hunger despite a myriad of technological interventions that have been introduced in agriculture to address issues of food security, as well as poverty alleviation.

Climate variability and change threaten and impact negatively on biodiversity, agricultural sustainability, ecosystems, and economic and social structures – factors that are all vital for human resilience and wellbeing. To cope with these challenges, embracing sustainability in food production is therefore essential. Practising sustainable agriculture is one way of ensuring sustainability in pro-poor farming communities in low-income countries.

The promotion of land, soil and water conservation measures has been a widespread development in sub-Saharan Africa in a bid to tackle degradation and improve productivity. As a result, several governments have launched various campaigns on soil, land and water conservation measures. The aim of this study is to determine some of the factors that influence farmers’ awareness (knowledge) and adoption of land, soil and water conservation practices. Data for this study was collected from 312 households using a questionnaire survey in the Chinyanja Triangle of Southern Africa.

The failure of the linear and non-participatory Agricultural Research and Development approaches to increase food security among smallholder farmers in sub-Saharan Africa has prompted researchers to introduce an Integrated Agricultural Research for Development (IAR4D) concept. The IAR4D concept uses Innovation Platforms (IPs) to embed agricultural research and development organizations in a network to undertake multidisciplinary and participatory research.

This paper sets out to determine the impact of Integrated Agricultural Research for Development in three selected countries of Southern Africa. Agricultural productivity in Southern Africa faces several challenges, of which poor soil fertility strikes out as the priority problem inhibiting increased productivity in farmers’ fields. While several soil fertility management technologies are being promoted in the region, their uptake by smallholder farmers remains very low.

Participatory Impact Pathways Analysis (PIPA) is a practical approach to planning, monitoring and evaluation, developed for use with complex research-for-development projects. PIPA begins with a participatory workshop where stakeholders make explicit their assumptions about how their project will make an impact, and produce an ‘Outcomes logic model’ and an ‘Impact logic model’. These two logic models provide an ex-ante framework of predictions of impact that can also be used in priority setting and ex-post impact assessment.