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Logo PrimePrevention

Predicting marine biological hazards to prevent socio-economic impacts

PrimePrevention, led by Dr. Katja Metfies (Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research) deals with marine biological risks in the Baltic Sea.

Why do we do this?

Climate change and human activities are leading to increasingly frequent and intense extreme events such as storms, floods and heatwaves. These events have a serious impact on coastal and marine ecosystems.
 
In particular, rising water temperatures as a result of heatwaves can increasingly favor the mass occurrence of microorganisms in the North and Baltic Seas. This sudden appearance of bacteria and algal blooms is similar to that in tropical regions. Bacteria such as vibrios, which rarely occur at moderate temperatures, could multiply explosively at water temperatures above 22 degrees Celsius - a scenario that is becoming more likely due to climate change. It is also assumed that the occurrence of cyanobacteria and hypoxia will increase. Some groups of bacteria and algae are capable of producing toxins under suitable conditions, which can have an impact on ecosystems and humans. These biological hazards could have an impact on human health, specific economic sectors such as fishing or tourism, and the marine ecosystem as a result of their proliferation.
 
It is crucial to promote the development of reliable forecasting models and early warning systems so that these risks can be identified and counteracted in good time in order to ensure the long-term protection of ecosystems and society.

PrimePrevention ocean Image by callaway_hall on Pixabay-5110906_1920.jpg

Our goal

In close cooperation with experienced partners from research, industry and environmental monitoring, the PrimePrevention project is developing technical solutions and the scientific know-how to better predict the occurrence of biological hazards such as cyanobacteria, vibrios and hypoxia in the future.

The aim is to accelerate the process from measuring extreme events to providing targeted information to areas of society.

In order to ensure that the solutions meet specific needs, future user groups such as fisheries, the tourism industry and authorities are specifically involved in the collaboration. In this way, the socio-economic effects are optimally included in the research. The end result should be robust early warning systems, an improved data infrastructure and concrete recommendations for action.

Translated with DeepL.com (free version)

Our goals in detail: 1. to involve social actors: Provision of information on socio-economic impacts when marine biological hazards occur. Development of the technological and logistical requirements for an efficient early warning system in the interests of the user groups. 2. improved, more closely meshed environmental monitoring: Development and deployment of a technical infrastructure for the efficient collection and provision of key oceanographic data. Implement new sensor technologies and data collection systems to monitor water parameters and biological hazards. 3. improving forecasting capabilities and providing recommendations for action: Integration of historical and current data sets to model the occurrence of biological hazards. Development of prediction models taking into account the factors influencing the occurrence and spread of these hazards. Based on improved data, provide recommendations for early warning systems tailored to the needs of society and marine user groups. Establish information pathways to prevent or minimize the socio-economic impacts of marine biological hazards. Comprehensible query and online presentation for all, as well as quick test options for individuals.

Waves

How do we do that?

PrimePrevention brings together a consortium of 11 institutions and companies, as well as associating partners, working together on surveillance technologies and early warning systems.

We pursue an interdisciplinary approach that combines natural and social science methods.

The data collection infrastructure will use both traditional and innovative sensor technologies. Historical and current data will be integrated into the research in order to develop precise forecasting models. Simultaneously and supportively, social science analysis will be conducted to understand stakeholder needs. Through this integration, the socio-economic impact on health, fisheries and tourism will be minimized.

PrimePrevention ocean Image by callaway_hall on Pixabay-5110906_1920.jpg

Expected results

  • Early warning systems: Development and implementation of early warning systems for marine biological hazards in the Baltic Sea.

  • Data infrastructure: Building a robust technical infrastructure for continuous monitoring and data analysis.

  • Modelling: Accurate models to predict the emergence and spread of biological hazards.

  • Recommendations: Concrete recommendations for action to minimize the socio-economic impacts of marine biological hazards.

Waves

News

Network partners

  • Albert-Ludwigs-Universität Freiburg
  • Alfred-Wegener-Institut Helmholtz Zentrum für Polar- und Meeresforschung

  • AquaEcology GmbH & Co. K

  • Archeoinformatics - Data Science, Christian-Albrechts-Universität zu Kiel

  • Biome-id, Wilhelmshaven

  • Bundesamt für Seeschifffahrt und Hydrographie (BSH)

  • Carl von Ossietzky Universität Oldenburg

  • Christian-Albrechts-Universität zu Kiel

  • Helmholtz-Zentrum für Ozeanforschung Kiel (GEOMAR)

  • Institut für Ostseefischerei, Johann Heinrich von Thünen-Institut Bundesforschungsinstitut für Ländliche Räume, Wald und Fischerei

  • Jade Hochschule Wilhelmshaven/Oldenburg/Elsfleth

  • Leibniz-Institut für Ostseeforschung Warnemünde (IOW)

  • Marine Sensorsysteme, Carl von Ossietzky Universität Oldenburg

Contact

Links

  • Press release about the Kick Off Event : "Biologische Gefahren aus dem Meer überwachen und vorhersagen"

Publications

  • Schernewski, G.; Neumann, T.; Bucas, M.; von Thenen, M. Ecosystem Services of the Baltic Sea—State and Changes during the Last 150 Years. Environments 2024, 11, 200. https://doi.org/10.3390/
    environments11090200
    (PrimePrevention)

  • Schernewski, G.; Jekat, M.; Kösters, F.; Neumann, T.; Steffen, S.; von Thenen, M. Ecosystem Services Supporting Environmental Impact Assessments (EIAs): Assessments of Navigation Waterways Deepening Based on Data, Experts, and a 3D Ecosystem Model. Land 2024, 13, 1653. https://doi.org/10.3390/land13101653 (PrimePrevention)

PrimePrevention ocean Bild von callaway_hall auf Pixabay-5110906_1920.jpg
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