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Accueil > Actualités

Séminaire CIRED : Léa Tardieu

par Arancha Sánchez - publié le , mis à jour le




Résumé / Abstract


As many cities subject to increasing risks (e.g. water scarcity, urban heat islands), Paris and more globally the Ile-de-France region, turn to investments in nature based solutions in order to design adaptation scenarios to climatic change. However, in practice, urban planning is a complex political process bringing together multiple issues (environmental, economic, and social) and the information on nature’s benefits, or “ecosystem services”, is rarely available to planners. The IDEFESE project helps address these issues through three activities. First, we analysed the institutional setting underlying urban planning documents to identify where the notion of ecosystem services can be introduced. Planning documents in a major metropolitan area like Paris are multiple, produced by different stakeholders with potentially antagonistic goals (environmental, social, and economic). This leads to potential inconsistencies between objectives pursued in different planning documents, as well as overlaps in scope and spatial scale. We proposed an ecosystem services approach to provide a common ground to multiple actors, covering multiple goals, and improve the coherence of planning documents. Second, we are producing spatial information on nature’s benefits from their supply and the demand side ; provide evaluation of their historical evolution, and their future evolution under different urbanization and climate scenarios. Future urbanisation scenarios are based on real prescriptive urban plans and on scenarios co-developed with a group of stakeholders comprising urban planners, ecologists, and representatives from interest groups (e.g. farming, watershed management). Finally, the project investigates how environmental justice issues can be accounted for in renaturation targeting policies. Indeed, targeting areas poorly endowed with green spaces - the actual policy in Ile-de-France region - is likely to favour the richest populations. We show that targeting areas considering multidimensional inequality criteria would have a significant impact on inequality.


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