Using multibeam sonar to monitor animal behaviour and environmental interactions at marine renewable energy sites

Find Similar History 34 Claim Ownership Request Data Change Add Favourite

Title
Using multibeam sonar to monitor animal behaviour and environmental interactions at marine renewable energy sites

CoPED ID
fdd57819-dbd6-4a9b-befd-28ff20082c17

Status
Active

Funders

Value
No funds listed.

Start Date
Sept. 30, 2020

End Date
March 31, 2024

Description

More Like This


To date, there are 8.5 GW of installed UK offshore wind capacity, and it is estimated 20% of current UK electricity demand could be met with wave and tidal stream sources. However, with rapid development of marine renewable energy (MRE) including wind, wave and tidal stream energy, uncertainty remains surrounding the environmental and ecological effects. Concerns include disruption of migratory and foraging animal behaviour, direct mortality from animal collision with underwater turbines, attraction of animals as a result of prey aggregation around structures, or displacement from preferred habitats.

Changes in behaviour of fish species, in particular those which are common prey of seabirds and marine mammals, could lead to changes in foraging behaviour of their predators as observed at offshore wind turbines. A recent study found 1.75 times higher fish school (prey) passage rates at tidal turbine structures, and 5.66 times higher in low speed wakes [1]. However, key questions remain about whether these increases in prey abundance are reflected in changes in predator numbers or behaviour; understanding potential predator responses also has important consequences for collision risk with either above water (wind) or below water (tidal) turbine blades. Regulators need information on animal distribution, underwater behaviour and interactions with marine energy developments to inform licensing and management.

Multibeam sonar mounted on seabed platforms has been demonstrated as a suitable method to investigate these knowledge gaps [2-4], providing continuous, fine-scale information on the behaviour, distribution and interactions of fish, diving seabirds and marine mammals, including predator-prey behaviour.

This inter-disciplinary PhD will develop algorithms for multibeam sonar data processing for target detection, tracking and classification in high energy sites. The project will build on several existing datasets allowing investigation of the transferability of techniques and results between sites / devices / instruments. Analysis of the results will address key ecological and regulator questions on predator-prey interactions, animal behaviour, and biophysical coupling at MRE sites.

The project will also develop recommendations for future data collection to ensure measurements can effectively meet monitoring requirements in collaboration with the project partner Marine Scotland Science. A robust and transferable suite of processing tools will address industry uncertainty and answer the crucial ecological questions on the environmental effects of MRE development. The student will be able to engage in future data collection opportunities to apply the techniques and recommendations.

Benjamin Williamson SUPER_PER
Nicholas Petzinna STUDENT_PER

Subjects by relevance
  1. Animal behaviour
  2. Behaviour
  3. Fishes
  4. Wind energy
  5. Tidal energy
  6. Birds
  7. Renewable energy sources
  8. Predation
  9. Marine mammals
  10. Wave energy
  11. Environmental effects
  12. Marine ecology

Extracted key phrases
  1. Foraging animal behaviour
  2. Multibeam sonar datum processing
  3. Marine renewable energy site
  4. Prey behaviour
  5. Marine energy development
  6. Foraging behaviour
  7. Underwater behaviour
  8. High energy site
  9. Environmental interaction
  10. Tidal stream energy
  11. Prey interaction
  12. UK offshore wind capacity
  13. Animal distribution
  14. Animal collision
  15. Offshore wind turbine

Related Pages

UKRI project entry

UK Project Locations