Abstract
| Original language | English |
|---|---|
| Article number | fsad194 |
| Number of pages | 12 |
| Journal | ICES Journal of Marine Science |
| Volume | 82 |
| Issue number | 3 |
| Early online date | 12 Dec 2023 |
| DOIs | |
| Publication status | Published - Mar 2025 |
Bibliographical note
We would like to thank Emma Ahart, David Bould, Constance Schéré, Marie Toulon, and Inne Withouck for comments on drafts. Also thanks to three anonymous reviewers and Howard Browman for constructive review.Data Availability Statement
Data availability:The data underlying this article are available in the article and in its online supplementary material.
Funding
This work was supported by the PREDICT project funded by Ørsted (https://eri.ac.uk/predict/; https://www.abdn.ac.uk/sbs/research/predict-938.php) and by PELAgIO NE/X008835/1 and NE/X008770/1. PELAgIO is part of the ‘The Ecological Consequences of Offshore Wind’ (ECOWind) programme, funded by the Natural Environment Research Council (NERC), The Crown Estate through its Offshore Wind Evidence and Change Programme and is also supported by the Department for Environment, Food, and Rural Affairs (Defra). C.H. is supported by an NERC Scottish Universities Partnership for Environmental Research (SUPER) Doctoral Training Partnership (DTP) grant (grant reference number NE/S007342/1 and website https://superdtp.st-andrews.ac.uk).
| Funders | Funder number |
|---|---|
| Ørsted A/S | |
| Natural Environment Research Council | NE/X008835/1 , NE/X008770/1, NE/S007342/1 |
| The Crown Estate | |
| UK Department for Environment, Food and Rural Affairs |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
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SDG 14 Life Below Water
Keywords
- marine renewable energy
- bio-physical indicators
- predator-prey interactions
- scaling
- multitrophic
- autonomous platforms
- dynamic Bayesian network modelling
- cumulative impact assessment
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