Joint research on climate impacts and pathways for sustainable transformation
The JPI Climate ERA-NET AXIS (Assessment of Cross(X) - sectoral climate Impacts and pathways for Sustainable transformation) will fund 10 of the submitted 40 full proposals. These proposals address climate impact research and connect it to societal needs. The total budget is between 15,7 and 17,5 million. In six out of ten funded calls Dutch researchers participate, one project of which is based at Wageningen University and Research:
DIRT-X: Evaluating sediment Delivery Impacts on Reservoirs in changing climate and society across scales and sectors.
Partners: AT, DE, NO, SE (Coordinator) NL; Utrecht University,
MAPPY: Multisectoral analysis of climate and land use change impacts on pollinators, plant diversity and crops yields.
Partners: AT, BE (Coordinator), DE, ES, NL; Naturalis Biodiversity Center, Leiden,
LAMACLIMA: LAnd MAnagement for CLImate Mitigation and Adaptation.
Partners: DE (Coordinator), BE, NO, NL; Vrije Universiteit Amsterdam,
SHAPE: Sustainable development pathways achieving Human well-being while safeguarding the climate And Planet Earth.
Partners: AT, DE (Coordinator), NO, SE, NL; Utrecht University,
UNCHAIN: Unpacking climate impact CHAINs. A new generation of action- and user-oriented climate change risk assessments.
Partners: AT, DE, FR, ES, NO (Coordinator), SE, NL; Wageningen University & Research,
MECCA: Targeting mental models of climate change risk to facilitate climate action.
Partners: DE, NO, NL (Coordinator); Utrecht University.
The ERA-NET Consortium AXIS aims to promote cross-boundary, cross-community research with the overall goal to improve coherence, integration and robustness of climate impact research and connect it to societal needs. AXIS is a successor of the ERA-Net on Climate Services (ERA4CS). Both are part of the efforts of JPI Climate to contribute to the implementation of the European Roadmap for Climate Services. Within AXIS the goals are in particular to improve the “Integration of physical and socioeconomic data and information” and “establishing confidence in [CS], and the role of uncertainty in climate services and decision-support systems”.