Abstract
Abstract Pastoral communities in East Africa have faced unprecedented variation in weather, desertification and degradation of forage resources in recent times, leading to large-scale losses of livestock and reducing both marketing and management options, which renders pastoralists dependent on food aid. The increased uncertainty due to drought, coupled with the breakdown of options to use traditional risk management strategies, has led to a need for new approaches for early warning to make proactive decisions before drought sets in. One such possibility is the development of new technologies capable of providing information on emerging forage conditions to assist in improving livestock movement and sales options of pastoralists. The Livestock Early Warning System project of the Global Livestock Collaborative Research Support Program led by Texas A&M University has developed an automated modeling package to assist these mobile dry-rangelands livestock keepers in East Africa to cope with shocks of climate and make informed decisions about current and future forage conditions and thereby guide their mobility and decision-making patterns. The approach makes use of modeling techniques, Geographic Information System (GIS) and information and communication technology (ICT) and takes real-time, satellite weather data to drive a biophysical model called PHYGROW to simulate daily forage conditions and near-term forecasts of these conditions. Using geo-statistics, these point-based model simulations are linked with Normalized Difference Vegetation Index (NDVI) satellite images to create maps of forage supply and its deviation from normal. This information is updated every ten days with situation reports and maps distributed via WorldSpace radios, email, internet, and newsletters in the region. This technology suite has been developed in collaboration with national government agencies in Ethiopia, Tanzania, Kenya, and Uganda and NGOs working in pastoral areas.
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Jama, A., Kaitho, R., Wu, J., Macopiyo, L. (2008). A New Toolkit for Monitoring and Forecasting Forage Supply in the Grazing Lands of Eastern Africa. In: Lee, C., Schaaf, T. (eds) The Future of Drylands. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6970-3_34
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DOI: https://doi.org/10.1007/978-1-4020-6970-3_34
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