Applying Large Area Modelling Approach to Assess the Impacts of Climate Variability and Change: Informing Policy and Adaptation - A review
Abstract
160 words
This review highlights some pertinent methodologies in dealing
with uncertainty in climate projections and how crop models
are increasingly used to support decisions at various levels to
guide food security policy formulation, management and
regulations. Crop models are increasingly being used on a large
spatial scale, often coupled with general circulation models
(GCMs) to assess the impact of climate variability and the effect
of El Niño/Southern Oscillation (ENSO) on agricultural
production and food security. Therefore, using climate change
projections and crop models in order to understand the impacts
of climate change on rainfed agriculture, especially on cereals
(maize and sorghum), is very helpful to policy makers. Policy
makers need information on the potential impact of climate
change for the next few decades, as they are developing plans
that will affect different sectors. In conclusion, this review
demonstrates the need for calibrating and validating different
crop models to attain the standard climate change impact
assessment methodology for the East Africa region.
Subjects
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