DNAquaIMG: Innovating transnational aquatic biodiversity monitoring using high-throughput DNA tools and automated image recognition

DNAquaIMG will develop and test an efficient and effective approach to monitor freshwater invertebrates and diatoms with novel DNA and automated image-based biodiversity assessment methods. Together with stakeholders involved in environmental monitoring, the consortium will develop a roadmap for European freshwater biodiversity monitoring with these methods, built into the existing and well-established context of the WFD.
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Table of contents

Project duration
-
Core fields of research
Basic natural phenomena and mathematical thinking
Research areas
Engineering
Faculty
Faculty of Information Technology
Funding
European Union

Project description

Comprehensive and reliable data are essential to understand biodiversity status and drivers, predict trends, and guide management and restoration in the context of European and international regulations. Two emerging approaches hold great promise to improve current biodiversity data generation: DNA-based and automated image-based assessment methods. Combined, these complementary approaches can offer an opportunity for greatly enriched biodiversity data, while both approaches can be to a large extent automated to produce FAIR biodiversity data for large sample sizes. Building on its results and together with relevant stakeholders, DNAquaIMG will propose a biodiversity monitoring roadmap to fully seize the potential of these new methods into the existing policy context of the EU Water Framework Directive (EG/2000/60, WFD) and maximizes synergies between existing environmental monitoring programmes, jointly improving aquatic biodiversity and ecosystem management.