The ERA-NET Cofund ERA-GAS was launched in January 2016 and is funded by the EC under H2020. ERA-GAS is the ERA-NET Cofund for monitoring & mitigation of Greenhouse gases from agri- and silviculture. The aim of ERA-GAS is to strengthen the transnational coordination of research programmes and provide added value to research and innovation on greenhouse gas (GHG) mitigation in the European Research Area. ERA-GAS is initiated by the Joint Programming Initiative on Agriculture, Food Security and Climate Change (FACCE-JPI).
ERA-GAS addresses especially the challenges of:
FNR participated in the joint call of ERA-GAS and is currently funding the German partners in one of the recommended projects: “Wise use of drained peatlands in a bio-based economy: development of improved assessment practices and sustainable techniques for mitigation of greenhouse gases (PEATWISE). The Federal Ministry of Food and Agriculture (BMEL) participates in ERA-GAS via FNRs funding programme “Renewable Resources”.
FNR was further majorly involved in preparation Early Career Researcher Summer School on GHG monitoring and mitigation in agriculture and forestry under additional activities.
Early Career Researcher Summer School on greenhouse gas (GHG) monitoring and mitigation in agriculture and forestry,
12-14 June, Amsterdam The Netherlands
The Summer School was organized by the FNR and aimed at early career scientists (PhD candidates and post-doctoral researchers), who want to deepen their understanding of the role of key GHGs in the Earth System with a special focus on GHG emissions and carbon sequestration related to the agriculture and forestry sectors.
The FACCE ERA-GAS Summer School offers to Early Career Researchers an invaluable opportunity for learning and networking during dedicated sessions at the NCGG8, discussing GHG methodologies and inventory development with leading scientists and benefitting from interactive sessions focussed on career development and funding opportunities.
FNR contact person: Dr. Boris Vashev
This project has received funding from the European Union’s Horizon2020 research and innovation programme under grant agreement No 696356.