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Geoprospective scenarios for agri-food systems relocation

SCENGEO
Given the social, economic an environmental challenges associated with agri-food systems, food relocation strategies have emerged over the past ten years to maintain and develop foodsheds close to urban places of consumption. This thesis focuses on the spatial dynamics of food relocation within the geoprospective research field. This approach aims to anticipate the future of a territory by constructing spatialized evolutionary scenarios. The data used for this research relate to agricultural census and associated RICA databases. As UMR 7300 ESPACE is a quantitative geography laboratory, the comparative analysis of the maintenance or disappearance of farms at different dates, crossed with other public databases, allows to identify territorial profiles most likely to maintain agricultural production over time or, on the contrary, the most vulnerable. applied to the case city of Nice, spatial modeling tools will be used to define future scenarios of the foodshed supplying the city.