Explore SPARC’s publications and resources as we create, distil, evaluate and share evidence and best practice on research and policy that aims to support pastoralists and farmers in dryland areas.
Dynamic Drylands is SPARC's podcast mini-series which explores new ways of thinking about aid, development and resilience in the drylands of Africa and the Middle East.
This journal article evaluates KAZNET, a crowdsourcing initiative that collects and shares near-real-time data about livestock markets, forage conditions, and food security in Kenya’s drylands.
This brief introduces AfriScout, a digital app that shows potential for mitigating some of the challenges pastoralists face by providing them with information to make more informed decisions.
This is the third in a series of longitudinal studies into the political, socioeconomic and environmental issues facing pastoralists and agropastoralists in Hayin Ade and Wuro Alhaji Idrissa Bappate.
This report combines findings from a scoping visit to the case study location with a review of the literature that describes salient features of the political economy in Sudan.
This brief outlines a preliminary research framework developed by SPARC and the CGIAR Research Initiative on Fragility, Conflict and Migration on conflict between farmers and livestock herders.
This report, and accompanying brief, align current thinking on transboundary climate risk pathways with research on climate risk for pastoralists in African rangelands.
This brief recommends that the Ethiopia Disaster Risk Management Commission, supported by international partners, establish a specialist ENSO–IOD facility to plan for the impact of a drought in 2024.
This report explores how pastoralists and agro-pastoralists in South Sudan's Unity State are adapting their livelihood strategies in response to conflict and climate shocks.
This article takes an in-depth approach to understand the sub-national application of a single participatory planning intervention implemented across Northern Kenya, using qualitative process tracing.