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Spatial Modeling of Risk in Natural Resource Management Ecology and Society
Jones, Peter; CIAT (International Center for Tropical Agriculture); p.jones@cgiar.org; Thornton, Philip K; International Livestock Research Institute; P.Thornton@cgiar.org.
Making decisions in natural resource management involves an understanding of the risk and uncertainty of the outcomes, such as crop failure or cattle starvation, and of the normal spread of the expected production. Hedging against poor outcomes often means lack of investment and slow adoption of new methods. At the household level, production instability can have serious effects on income and food security. At the national level, it can have social and economic impacts that may affect all sectors of society. Crop models such as CERES-Maize are excellent tools for assessing weather-related production variability. WATBAL is a water balance model that can provide robust estimates of the potential growing days for a pasture. These models require large...
Tipo: Peer-Reviewed Reports Palavras-chave: Crop modeling; Dryland agriculture; Global change; Global Circulation Model; Maize; Markov models; MarkSim; Natural resource management; Risk; Southern Africa; Spatial modeling; Weather simulation.
Ano: 2002
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