Yield reduction maps for maize, millet and Sorghum, for 1990, 2020, 2050 and 2080.
Input Parameters for Climate: Minimum and Maximum Temperature, Precipitation.
Input Parameters for Soil: Texture, Depth, Drainage, Slope, pH, Organic content, Ece, EXP.
Input Sources for Climate: 3 GCMs (MIROC5, CanESM2 and NOAA-GFDL) statistically downscaled by UCT at 0.5°, RCP 8.5.
Input Sources for Soil: HWSD
This data set has been produced in the framework of the "Climate change predictions in Sub-Saharan Africa: impacts and adaptations (ClimAfrica)" project, Work Package 3 (WP3). WP3 aims at quantifying the sensitivity of vegetation productivity and water resources to seasonal, inter-annual and decadal variability in weather and climate, using impact models on agriculture and water.
The available models in combination with developed datasets of land use and climate from WP2 were used to simulate crop yield and water resources. Simulations using short-term scenarios of future climate change (5-10 years) were used to identify regional differences in the climate sensitivity of crop production etc. Scenarios for the African agricultural/pastoral sectors were also made using longer model runs.
Finally, tradeoffs and areas of risk and vulnerability were identified in relation to:
More information on ClimAfrica project is provided in the Supplemental Information section of this metadata.
Data publication: 2014-05-15
Supplemental Information:
ClimAfrica was an international project funded by European Commission under the 7th Framework Programme (FP7) for the period 2010-2014. The ClimAfrica consortium was formed by 18 institutions, 9 from Europe, 8 from Africa, and the Food and Agriculture Organization of United Nations (FAO).
ClimAfrica was conceived to respond to the urgent international need for the most appropriate and up-to-date tools and methodologies to better understand and predict climate change, assess its impact on African ecosystems and population, and develop the correct adaptation strategies. Africa is probably the most vulnerable continent to climate change and climate variability and shows diverse range of agro-ecological and geographical features. Thus the impacts of climate change can be very high and can greatly differ across the continent, and even within countries.
The project focused on the following specific objectives:
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Develop improved climate predictions on seasonal to decadal climatic scales, especially relevant to SSA;
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Assess climate impacts in key sectors of SSA livelihood and economy, especially water resources and agriculture;
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Evaluate the vulnerability of ecosystems and civil population to inter-annual variations and longer trends (10 years) in climate;
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Suggest and analyse new suited adaptation strategies, focused on local needs;
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Develop a new concept of 10 years monitoring and forecasting warning system, useful for food security, risk management and civil protection in SSA;
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Analyse the economic impacts of climate change on agriculture and water resources in SSA and the cost-effectiveness of potential adaptation measures.
The work of ClimAfrica project was broken down into the following work packages (WPs) closely connected. All the activities described in WP1, WP2, WP3, WP4, WP5 consider the domain of the entire South Sahara Africa region. Only WP6 has a country specific (watershed) spatial scale where models validation and detailed processes analysis are carried out.
Contact points:
Metadata Contact: FAO-Data
Resource Contact: Valentina Mereu
Resource constraints:
copyright
Online resources:
Climafrica Website - Climate Change Predictions In Sub-Saharan Africa: Impacts And Adaptations
Scenarios of major production systems in Africa
