
Lunch&Learn: eDNA Sampling Around CO₂ Storage Sites
Introduction
In this webinar, we will explore the innovative use of environmental DNA (eDNA) sampling within Carbon Capture and Storage (CCS) projects. In COREu, eDNA is being applied to collect baseline biodiversity data in a Mediterranean CCS setting, offering a novel approach to environmental monitoring. We will discuss the methodology for sampling and analyzing eDNA, focusing on its potential to track species occurrence, including rare and elusive species, over long periods. This session will also highlight the importance of establishing reference locations and biobanks for future use in monitoring the long-term impacts of CCS on biodiversity.
Join us to learn how eDNA can play a crucial role in shaping effective and sustainable CCS strategies. The webinar will take place at 12:00 CET on 27 January 2026.
About Lunch & Learn
The COREu Lunch&Learn webinar series offers short, focused sessions presenting key insights from the project and its experts on carbon capture and storage (CCS). Aimed at researchers, industry, the wider public, and other stakeholders, the webinars provide science-based, accessible input on topics such as CCS deployment routes, social acceptance, business models, and policy frameworks.
Designed for busy schedules, each session delivers concise knowledge without the need for active participation, just clear, expert-driven content to support informed decision-making and build momentum for safe, sustainable, and socially accepted CCS across Europe.
About COREu
COREu is one of the largest research and innovation project in the field of carbon capture and storage (CCS) funded by a European programme. Its goal is to accelerate the transition to a low-carbon future, targeting a reduction of 6.8 Mt/year of CO2 by 2035 and 36 Mt/year by 2050. This will be achieved by demonstrating key technologies across the entire CCS value chain in Europe. The project aims to develop new demonstration projects that connect CO2 sources with potential storage sites.
The project has received funding from the European Union's HE research and innovation programme under grant agreement No 101136217.

