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From Biophysical to Socio-Economic Modelling – The Database Challenge in Assessing Vulnerability of Agriculture in Prairie Project

Jean-Willy Ileka1, Carolyn Goodfellow, Robin Becker, Robert J. MacGregor and Aining Zhang
1Agriculture and Agri-Food Canada
ilekaj@agr.gc.ca

The Project Assessing Vulnerability of Agriculture in Prairie conducted jointly by AAFC and NRCan is one of only a few quantitative analyses on adaptation to climate change. It is also among the few studies that make use of an integrated framework at a regional scale. At the core of the analysis is the link between a biophysical model (EPIC) and a socio-economic model (CRAM). Presently the Project is at the stage of preparing data inputs and updating the models. Not only must the Project address the challenges related to ensuring that the data, scenarios and assumptions are adequate, but it also must attempt that they are consistent with other analyses of climate change impacts, vulnerability and adaptation in Canada. Consistency in both the data used, and in the modeling are critical as it directly impacts on the capacity being built to assess the vulnerability of agriculture to climate change and to estimate the impacts of different adaptation strategies.


2005-04-05

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