Read the full Sahel Predictive Analytics Report, published by UNHCR on November 16, 2022, here.
The report looks at the 10 countries covered by the UN Integrated Strategy for the Sahel and its Support Plan in West and Central Africa – Burkina Faso, Cameroon, Chad, the Gambia, Guinea, Mali, Mauritania, Niger, Nigeria, and Senegal.
Communities across the Sahel rely on farming and pastoralism, which are highly vulnerable to the impacts of climate change. Food insecurity is already surging across the region, reaching emergency levels in some areas. In the long term, yields of maize, millet and sorghum are projected to decline due to climate shocks, wearing down the resilience of local populations.
“Rising temperatures and extreme weather in the Sahel are worsening armed conflict, which is already destroying livelihoods, disrupting food security, and driving displacement,” said UNHCR Special Advisor for Climate Action Andrew Harper. “Only a massive boost in collective climate mitigation and adaptation can alleviate the current and future humanitarian consequences.”
Even with ambitious climate mitigation policies, temperatures in the Sahel are predicted to rise 2.5°C by 2080. If urgent action is further delayed, they could increase by 4.3°C.
Despite the negative trends, the Sahel is endowed with abundant natural resources.
The region sits on one of the largest aquifers in Africa and has immense potential for renewables, including abundant solar energy capacity, and a dynamic young population – around 64 per cent of Sahelians are under 25 years old.
If bold action in climate mitigation and adaptation is imminently taken to support Sahelian countries and communities, and collaboration across the humanitarian, development and peacebuilding pillars is prioritized, there is vast potential to change the region’s trajectory.
About the Sahel Predictive Analytics project
The Sahel Predictive Analytics project, on which the report is based, aims to guide decision-makers by anticipating and quickly identifying where multiple risks overlap to allow for better preparedness and to support context analysis, planning, training, and capacity-building, while also outlining where additional data is needed.
The predictive analytics initiative is funded by the German Federal Foreign Office and facilitated by UNHCR in support of the office of the UN Special Coordinator for Development in the Sahel. It was initiated by the High-Level Committee on Programmes (HLCP) and subsequently the Chief Executives Board for Coordination (CEB) as the first whole-of-UN system approach that combines machine learning, predictive modelling, and strategic foresight to identify risk hotspots in the Sahel.
The report compiles short, medium, and long-term predictions from a range of data sources and methodologies provided by a consortium of 19 world-leading organizations which track the interplay and feedback loops of climate change, food security, conflict, migration and displacement. These organizations are: adelphi, the Climate Hazards Center (CHC) at University of California Santa Barbara, the Barcelona Centre for International Affairs (CIDOB), the Center for International Earth Science Information Network at Columbia University (CIESIN), Colorado State University (CSU), Institute for Demographic Research (CIDR) at the City University of New York (CUNY), Danish Refugee Council (DRC), German Council on Foreign Relations (DGAP), European Centre for Development Policy Management (ECDPM), Institut de Formation et de Recherche Démographiques (IFORD), Initiative Prospective Agricole et Rurale (IPAR), Potsdam Institute for Climate Impact Research (PIK), the Prediction-Visualisation-Early Warning team (PREVIEW) at the German Federal Foreign Office (FFO), United Nations Department of Economic and Social Affairs (UNDESA), United Nations University Centre for Policy Research (UNU-CPR), University of Kassel, the Violence Early-Warning System (ViEWS) project at Uppsala University, Walker Institute at the University of Reading, and the West African Science Service Centre on Climate Change and Adaptive Land Use (WASCAL).
