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Details of Award

NERC Reference : NE/X008991/1

Towards enabling sustainable expansion of offshore wind while protecting marine benthic biodiversity and functioning (B-EcoWIND)

Grant Award

Principal Investigator:
Professor M Solan, University of Southampton, Sch of Ocean and Earth Science
Co-Investigator:
Professor B Thornton, University of Southampton, Sch of Engineering
Co-Investigator:
Professor JA Godbold, University of Southampton, Sch of Ocean and Earth Science
Co-Investigator:
Professor PR White, University of Southampton, Sch of Engineering
Co-Investigator:
Professor PS Kemp, University of Southampton, Sch of Engineering
Co-Investigator:
Dr M H Stiasny, University of Southampton, Sch of Ocean and Earth Science
Co-Investigator:
Professor J Dix, University of Southampton, Sch of Ocean and Earth Science
Co-Investigator:
Professor DJ White, University of Southampton, Sch of Engineering
Co-Investigator:
Professor C Hauton, University of Southampton, Sch of Ocean and Earth Science
Co-Investigator:
Dr G Callender, University of Southampton, Sch of Electronics and Computer Sci
Co-Investigator:
Professor S Gourvenec, University of Southampton, Sch of Engineering
Science Area:
Marine
Overall Classification:
Unknown
ENRIs:
Biodiversity
Environmental Risks and Hazards
Global Change
Natural Resource Management
Science Topics:
Climate & Climate Change
Ecosystem impacts
Ocean acidification
Environmental factors
Behavioural Ecology
Food webs
Population dynamics
Benthic communities
Biodiversity
Ecosystem function
Habitat modification
Ocean acidification
Environmental stressors
Community Ecology
Predator-prey interactions
Offshore Wind Turbines
Wind Power
Biodiversity
Ecosystem function
Anthropogenic pressures
Ecosystem Scale Processes
Ecosystem management
Marine renewable energy
Species response
Abstract:
Meeting energy demands in the most sustainable way is a major challenge for society. Offshore wind farms - groupings of wind turbines on submerged sediments - offers part of the solution for the energy transition that is needed to mitigate climate change, and the UK has committed to a dramatic and rapid expansion of wind farms in the seas around the UK. However, shelf sea sediments host diverse and productive communities that play a very important role in processing nutrients and carbon that underpin the entire food web. Many species are also important prey items for higher trophic levels, including sea mammals and birds. At the same time, many sediment-dwelling species, such as clams, worms, shrimp and some fish are so intimately associated with the sediment environment that they are particularly susceptible to disturbance. This raises concern as the expansion of offshore wind currently underway means that marine ecosystems are highly likely to experience a large proportional change in biodiversity and ecosystem functioning if marine policy and the management of increasing pressures on UK marine ecosystems is not correctly guided. In this project, we have assembled marine ecologists, engineers and computational scientists to work together to understand ecosystem responses to the cumulative pressures of a large increase in deployment of offshore wind, considered in combination with other pressures that marine ecosystems are facing caused by human activity (bottom fishing, shipping) and the effects of climate change (acidification, warming, low oxygen). To do this, we will collate available data on many aspects of the marine environment and fill in gaps in these data by collecting targeted information about how species interact and behave around offshore wind structures using autonomous vehicles and use artificial intelligence algorithms to identify any associations and patterns. This analysis will also tell us which species are vulnerable to change and highlight areas of concern. Next, we will carry out a series of experiments that will test whether representative species are susceptible to certain types of noise and vibration, electromagnetism and localised heating which are common sources of disturbance associated with wind farms. We will also bring back intact assemblages from areas experiencing different levels of fishing intensity and expose them to the same pressures to see whether species that are experiencing one set of pressures will respond in the same way as those that are not experiencing other pressures. This will tell us how species respond under current conditions, but the pace of climate change means that an additional set of pressures will also effects these species. Hence, we will carry out the same experiments under simulated future conditions (warmer and with altered seawater chemistry). The results of these experiments will tell us whether species benefit or are compromised by certain combinations of pressures, and our expectation is that some species and communities will fair better than others. We will use this information to develop models that allow us to predict how other species that we have not considered, but which share similar traits, may respond. To do this we will use sophisticated statistical models that take into account wider information and make predictions about what marine systems in the future might look like in the future under different scenarios of habitat use, human activity and climate change. In a final step, we will develop a decision support tool that will allow the complexities, including positive and negative feedbacks, to be taken into account by decision and policy makers so they can see the likely consequences of consenting offshore wind in specific locations. Our tool will support the sustainable growth of the offshore wind industry by helping decision makers to make informed decisions that minimise pressure on our marine ecosystems.
Period of Award:
1 Apr 2023 - 31 Mar 2027
Value:
£895,642 Lead Split Award
Authorised funds only
NERC Reference:
NE/X008991/1
Grant Stage:
Awaiting Event/Action
Scheme:
Directed (RP) - NR1
Grant Status:
Active
Programme:
ECOWind

This grant award has a total value of £895,642  

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FDAB - Financial Details (Award breakdown by headings)

DI - Other CostsIndirect - Indirect CostsDA - InvestigatorsDA - Estate CostsDI - StaffDA - Other Directly AllocatedDI - T&S
£110,441£290,099£179,758£69,765£153,494£33,378£58,708

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