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Marine Environmental Research
Article . 2024 . Peer-reviewed
License: CC BY
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Integrated survey methodologies provide process-driven framework for marine renewable energy environmental impact assessment

Authors: James Chapman; Benjamin J. Williamson; Ana Couto; Arianna Zampollo; Ian M. Davies; Beth E. Scott;

Integrated survey methodologies provide process-driven framework for marine renewable energy environmental impact assessment

Abstract

Environmental interactions of marine renewable energy developments vary from fine-scale direct (e.g. potential collision) to indirect wide-scale hydrodynamic changes altering oceanographic features. Current UK Environmental Impact Assessment (EIA) and associated Habitats Regulations Appraisal (HRA) guidelines have limited focus on underlying processes affecting distribution and movements (hence vulnerability) of top predators. This study integrates multi-trophic ship survey (active acoustics and observer data) with an upward-facing seabed platform and 3-dimensional hydrodynamic model as a process-driven framework to investigate predator-prey linkages between seabirds and fish schools. Observer-only data highlighted the need to measure physical drivers of variance in species abundances and distributions. Active acoustics indicated that in situ (preferable to modelled) data were needed to identify temporal changes in hydrodynamics to predict prey and consequently top predator presence. Revising methods to identify key habitats and environmental covariates within current regulatory frameworks will enable more robust and transferable EIA and HRA processes and outputs, and at larger scales for cumulative and strategic-level assessments, enabling future modelling of ecosystem impacts from both climate change and renewable energy extraction.

Country
United Kingdom
Keywords

Conservation of Natural Resources, environmental impact assessment, QH301 Biology, Climate Change, Fishes, habitat, marine renewable energy, Biophysical data collection, monitoring guidance, Birds, monitoring, QH301, survey methods, hydrodynamics, SDG 13 - Climate Action, Hydrodynamics, Animals, SDG 7 - Affordable and Clean Energy, SDG 14 - Life Below Water, Renewable Energy, uncertainty, seabirds, Ecosystem, Environmental Monitoring

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
hybrid
Related to Research communities
Energy Research