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The themes of resistance and resilience have been addressed by multiple communities, but few bridges have been established between them. Perennial plants are particularly prone to an accumulation of stress periods in different seasons and over the years. Maintaining perennial vegetation is crucial to mitigating global change, notably thanks to its positive effects on biogeochemical cycles.

The aim of the GenA(t)ACC network is to identify generic research questions (animal, plant) for statistical methodologies applied to the genetics of managed and selected populations, in a context of climate change, in order to meet the challenges of mitigation and adaptation. The consortium will focus on the methodological challenges of predicting the genetic component of population responses in this context, while integrating models of the response of organisms to the environment. It will also look at the integration of mitigation and adaptation factors into these predictions. It will contribute to the sharing of knowledge with a view to building a network of scientists in bioclimatology, ecophysiology, physiology, genetics and mathematics.

In order to anticipate the response, in terms of both adaptation and contribution to mitigation, of agricultural systems in north-western Europe to climate change, it is necessary to propose changes in cropping systems and their organisation in the territory. The objective of the AIR-CC project is to create a consortium of complementary skills located mainly on either side of the Franco-Belgian border in order to optimise the preparation of a future long-term project on the management of climate change for agriculture, by anchoring it in the context of the region's agricultural systems.

This consortium, made up of national and international multidisciplinary teams working on the management of water resources for agriculture at the territorial level (drainage basins), aims to produce a synthesis of the research in progress on this subject in regions where irrigation plays a major role. GIEAU is particularly interested in remote sensing and spatial modelling tools to characterize the state and use of water in agriculture and how to get local actors involved in building scenarios.