DTO-BioFlow DUC 4 - Delivering evidence-based knowledge to support spatial planning of sustainable mariculture

This factsheet presents DUC4: Spatial Planning for Sustainable Mariculture, one of the Demonstrator Use Cases (DUCs) developed within the DTO-BioFlow project. It is intended for aquaculture operators, marine spatial planners, and regulatory agencies seeking evidence-based frameworks for sustainable aquaculture development. DUC4: Spatial Planning for Sustainable Mariculture integrates environmental, biological, and eDNA data to support site selection, reduce ecological risks, and promote ecosystem-based aquaculture. The Demonstrator Use Cases (DUCs) are at the core of DTO-BioFlow, showcasing how biodiversity observations, AI models, and the Digital Twin of the Ocean (DTO) can deliver digital solutions for marine sustainability.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-23
DOI
https://doi.org/10.5281/zenodo.17184952
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00
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article

DTO-BioFlow DUC 4 - Delivering evidence-based knowledge to support spatial planning of sustainable mariculture

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Bioinformatics
article

DTO-BioFlow DUC 4 - Delivering evidence-based knowledge to support spatial planning of sustainable mariculture

article en

Abstract

This factsheet presents DUC4: Spatial Planning for Sustainable Mariculture, one of the Demonstrator Use Cases (DUCs) developed within the DTO-BioFlow project. It is intended for aquaculture operators, marine spatial planners, and regulatory agencies seeking evidence-based frameworks for sustainable aquaculture development. DUC4: Spatial Planning for Sustainable Mariculture integrates environmental, biological, and eDNA data to support site selection, reduce ecological risks, and promote ecosystem-based aquaculture. The Demonstrator Use Cases (DUCs) are at the core of DTO-BioFlow, showcasing how biodiversity observations, AI models, and the Digital Twin of the Ocean (DTO) can deliver digital solutions for marine sustainability.

Zenodo (CERN European Organization for Nuclear Research)
Flanders Marine Institute (BE)
Openalex Percentile: Top 50%
Machine Learning in Bioinformatics
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