DTO-BioFlow

Mission

DTO-BioFlow's primary goal is to unlock hidden data streams in marine environments, converting various monitoring datastreams into biodiversity data. This aligns closely with BioDT's objective of integrating diverse biodiversity monitoring data. Both projects aim to publish new data streams to biodiversity infrastructures, including LifeWatch ERIC, enhancing the available biodiversity data resources.

A key area of synergy is the focus on data handling and infrastructure. DTO-BioFlow is working on daily data updates and has advanced infrastructure in place for this purpose. This expertise could potentially benefit BioDT, which currently works primarily with static data. The collaboration will lead to knowledge exchange on efficient data handling techniques for large-scale, frequently updated biodiversity datasets.

Both projects share a commitment to FAIR (Findable, Accessible, Interoperable, Reusable) data principles, which forms a common ground for data management and sharing practices.

DTO-BioFlow's connection to the Digital Twin of the Ocean provides an opportunity for BioDT to explore how terrestrial biodiversity models could interface with marine ecosystem models. This will lead to more comprehensive, integrated approaches to global biodiversity modelling.

The projects also share similarities in their use case approach. Both are developing multiple use cases to demonstrate the viability and applications of their digital twin infrastructures. This parallel development provides opportunities for comparative studies and shared learning experiences.
Looking ahead, potential areas for collaboration include:

  • Joint workshops or training sessions on data handling and infrastructure for biodiversity digital twins.
  • Exploration of how BioDT's terrestrial models could interface with DTO-BioFlow's marine models for more comprehensive ecosystem modelling.
  • Shared dissemination activities to promote the importance of integrated biodiversity modelling across terrestrial and marine environments.
  • Potential joint publications on the challenges and opportunities in creating comprehensive, cross-ecosystem digital twins for biodiversity.

This collaboration has the potential to significantly advance the field of biodiversity digital twinning, contributing to more holistic approaches in biodiversity conservation and management across all of Earth's ecosystems. It aligns closely with the objectives of the EU Mission and Biodiversity Strategy, demonstrating the power of integrated, cross-ecosystem approaches to environmental modelling and conservation.

  • DTO-Bioflow_logo
  • 42 months
  • HORIZON-MISS-2022-OCEAN-01
  • Technical
    • VLIZ
    • Aarhus University
    • CIIMAR
    • CNRS
    • COISPA
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