Ecosystem Modeling Adds Value to a South African Climate Forecast |
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| Authors: | Randall B Boone Kathleen A Galvin Michael B Coughenour Jerry W Hudson Peter J Weisberg Coleen H Vogel James E Ellis |
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| Institution: | (1) Natural Resource Ecology Laboratory, Colorado State University, 1499 Campus Delivery – B234 NESB, Fort Collins, Colorado, 80523-1499, U.S.A.;(2) Department of Anthropology, Colorado State University, Fort Collins, Colorado, U.S.A;(3) Department of Forest Sciences, Swiss Federal Institute of Technology, Zurich, Switzerland;(4) Department of Geography and Environmental Studies, University of Witwatersrand, Johannesburg, South Africa |
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| Abstract: | Livestock production in South Africa is limited by frequent droughts. The South African Weather Service produces climate forecasts estimating the probability of low rainfall three and six months into the future. We used the ecosystem model SAVANNA applied to five commercial farms in the Vryburg region of the North-West Province, and five communal areas within the Province, to assess the utility of a climate forecast in refining drought coping strategies. Rainfall data from 1970 to 1994 were modified to represent a drought (225 mm of rainfall) in 1977/1978, and used in simulations. In a simulation on an example commercial farm we assumed a forecast was available in 1977 portending an upcoming drought, and that the owner sold 490 cattle and 70 sheep prior to the drought. Over the simulation period, the owner sold 31% more cattle when the forecast was used,versus when the forecast was ignored. Populations of livestock on both commercial and communal farms recovered more quickly following the drought when owners sold animals in response to the forecast. The economic benefit from sales is being explored using optimization techniques. Results and responses from South African livestock producers suggest that a real-time farm model linked with climate forecasting would be a valuable management tool. |
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