Rift Valley Fever (RVF) is a viral zoonosis and a mosquito-borne disease caused by a phlebovirus in the family Bunyaviridae. It affects livestock, humans and wildlife. Epidemic outbreaks of RVF in East Africa, which occur after heavy rainfalls in cycles of 5-15 years, have caused next to human morbidity and mortality considerable economic losses throughout the livestock production and market chain. Establishment of a pastoral livestock demographic model simulating alternating normal and drought periods (appropriate for the Sahel) and RVF epidemics.

This chapter investigates the options for improving the performance of small ruminants interms of their contribution to household incomes. The characteristics of the existing production system are first sketched in order to identify the resource requirements and constraints of the system. Based on this imformation, a steady-state flock model is then developed and used to assess the impact of variation in growth, reproduction and mortality rates production.

Presents results of studies of settlement, land use & relations w. settled farmers of Fulani agropastoralists in Abet & Kachia Grazing Reserve in Subhumid Nigeria. Discusses reasons of choice of site, pattern & right of grazing and access to land.

This volume contains papers and abstracts of the Third Biennial Conference of the African Small Ruminant Research Network. In addition to the keynote address, there are nine papers on Genetic Resources Enhancement and Utilisation, seven papers on Production Systems, Policy and Economics, six papers on Management and Health, 12 papers and Feeding Systems and 10 papers on Performance and Reproduction. Six poster abstracts covering the above topics add to the volume.

Organizational and management problems associated w. development of grazing blocks in north eastern kenya w. spec. ref. to the Somali pastoralists and their socioeconomic organization.

Examines the relative merits of milk versus meat production by African pastoralists. Discusses the implications for livestock development policy.

Spatially explicit models are becoming increasingly important tools for simulating land-use change. In this study, we formulated and tested models that incorporated spatial correlates of agricultural expansion and used them to predict local- and landscape-scale patterns of agricultural land-use change and its implications in the Maasai-Steppe of Northern Tanzania. We evaluated the relationship between agricultural land-use and its spatial correlates using Multiple Logistic Regression on data derived from satellite imageries for the year 2000.