DAM mareXtreme PrimePrevention: Predicting marine biological hazards to prevent socio-economic impacts

DAM mareXtreme PrimePrevention

DAM mareXtreme PrimePrevention: Predicting marine biological hazards to prevent socio-economic impacts

Our goal is to generate technical solutions for monitoring marine biological hazards and scientific knowledge to better predict the impacts of the occurrence of cyano, vibrio and hypoxia, accelerating the path from measuring extreme events to informing society early about the threats. In PrimePrevention, these new methods and relevant prediction strategies are developed from the outset in close cooperation with companies and users so that the needs of the target groups are taken into account and socio-economic consequences are addressed in an optimized manner. The results should provide robust early warning systems, an improved data infrastructure and concrete recommendations for action.

January, 2024

December, 2026

-

473000

BMBF / DAM

Alfred-Wegener-Institut für Polar- und Meeresforschung (AWI), Germany

Mirjam Perner

Albert-Ludwigs-Universität Freiburg, Germany
Alfred-Wegener-Institut Helmholtz Zentrum für Polar- und Meeresforschung (AWI), Germany
AquaEcology GmbH & Co. KG, Germany
Archeoinformatics - Data Science, Christian-Albrechts-Universität zu Kiel (CAU), Germany
Biome-id, Wilhelmshaven, Germany
Bundesamt für Seeschifffahrt und Hydrographie (BSH), Germany
Carl von Ossietzky Universität Oldenburg, Germany
Christian-Albrechts-Universität zu Kiel (CAU), Germany
Helmholtz-Zentrum für Ozeanforschung Kiel (GEOMAR), Germany
Institut für Ostseefischerei, Johann Heinrich von Thünen-Institut Bundesforschungsinstitut für Ländliche Räume, Wald und Fischerei, Germany
Jade Hochschule Wilhelmshaven/Oldenburg/Elsfleth, Germany
Leibniz-Institut für Ostseeforschung Warnemünde (IOW), Germany
Marine Sensorsysteme, Carl von Ossietzky Universität Oldenburg, Germany

Project home page