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Marine biodiversity modelling study.
Chust, Guillem, Corrales, Xavier, Gonzáles, Fernandeo, Villarino, Ernesto, Chifflet, Marina, Fernandes, José A., Ibaibarriaga, Leire, Borja, Ángel, Arandu, Martin, Andonegui, Eider, González, Meritxel, Irigoien, Xabier and García, Dorleta, eds. (2022) Marine biodiversity modelling study. . Publications Office of the European Union, Luxemburg, 141 pp. ISBN 978-92-76-58698-2 DOI 10.2777/213731.
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Abstract
This study reviews the status of Marine Biodiversity Monitoring in the European Commission tendered the study “Marine Biodiversity Modelling” [RTD/2021/MV/10] to pursue the identification and characterization of a subset of candidate biodiversity models that could contribute to the implementation of the European Digital Twin of the Ocean (EU DTO). The EU DTO will be an operational infrastructure for digital ocean services that aims to support decision-making capabilities by authorities to implement EU policies like the Marine Strategy Framework Directive (MSFD) but also by citizens and businesses operating at sea. Specific objectives of the project were: 1. Conduct a horizon scan to identify and map available modelling approaches used to hindcast, nowcast; 2. Develop a comprehensive catalogue to classify available modelling approaches according to their characteristics; 3. Propose a subset of the most meaningful models among major model typologies; 4. Assess whether these models can be used in the implementation of the Digital Twin Ocean and can improve the decision-making capacity under the MFSD.
Document Type: | Report (Policy Document) |
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Cited Person: | Visbeck, Martin, Johanson, Arne, Oschlies, Andreas, Hasselbring, Wilhelm and Worm, Boris |
Keywords: | Policy document |
Research affiliation: | OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-BM Biogeochemical Modeling OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-PO Physical Oceanography |
Publisher: | Publications Office of the European Union |
Projects: | Science-policy documents |
Date Deposited: | 22 Feb 2023 13:32 |
Last Modified: | 29 Jun 2023 08:16 |
URI: | https://oceanrep.geomar.de/id/eprint/57649 |
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