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Seabird interactions around offshore wind turbines in the North Sea

Authors: Repas-Goncalves, Miguel; Pina, Luis; Barton, Colin; Canario, Filipe; Catry, Paulo; Oliveira, Ricardo; Perrow, Martin; +4 Authors

Seabird interactions around offshore wind turbines in the North Sea

Abstract

Seabirds represent a key consenting risk for offshore wind farms. The quantification of the risk that an offshore wind farm development could have on seabirds requires a suite of modelling tools which rely on the parameterisation of key inputs, such as flight heights, avoidance rates, collision rates, among others. Crucial in this context is to identify the underlying mechanisms of evasive behavioural responses by birds to wind turbines, and reveal species-, site- and state-specific factors enhancing avoidance and thereby affecting collision risk. However, the uncertainty arising from the lack of robust empirical data requires a cautious usage of these models, resulting in conservative estimates of the involved risks. The proposed study will analyse seabird interactions at the Neart na Gaoithe offshore wind farm in the North Sea, to collect empirical data and derive models for such interactions, and ultimately, to evaluate the effects of such structures on marine birdlife. The key species of focus in this Study are Northern Gannet and Black-legged Kittiwake. The seabird monitoring equipment, will be fully installed and operational before the wind farm becomes operational and, will collect data over the first two years of the wind farm operation for the scientific study. On-site observers will also provide data for the study, to validate and complement the data from the digital monitoring systems which will be installed in multiple locations across the offshore wind farm. The study will focus on macro avoidance dynamics when birds are approaching the wind farm and try to avoid it as a whole, meso avoidance dynamics, that correspond to deviations in the bird flight path to avoid individual turbines or arrays of turbines within the wind farm perimeter and, micro avoidance dynamics, when birds try to avoid individual wind turbine blades. The study will then try to answer the following questions: 1) Does collision occur and are there empirical methods to record seabird collisions at offshore wind farms? 2) What are the collision rates? 3) What are the reactive behaviours of seabirds around turbines? 4) How can we accurately record reactive seabird behaviour close to operational offshore wind turbines? 5) At what distance does any behaviour change such as avoidance or reactive behaviour occur and is this the same for each focus species? 6) Can this information be used to understand collision risk to seabirds at offshore wind farms? 7) Do weather conditions and time of day affect avoidance or reactive behaviour? 8) Does behaviour change within and between seasons? This study aims at validating autonomous seabird monitoring tools, which will then generate substantial data to support subsequent scientific studies related to the seabird interactions with offshore wind farms. Neart na Gaoithe Offshore Wind Limited has contracted to STRIX to deliver the study which has been endorsed by the Forth and Tay Regional Advisory Group.

Conference presentations and posters are typically about preliminary findings and are usually followed up by a detailed paper. This poster is based only on its abstract and may offer limited information. Please contact us for the detailed project brief, which may offer additional information that you can utilize for your research. This study was commissioned to STRIX, financed by the Forth and Tay developers of Neart na Gaoithe Offshore Wind Ltd, Seagreen Wind Energy Limited and Berwick Bank Wind Farm. The study has been devised in collaboration with RSPB, NatureScot, Joint Nature Conservation Committee and Marine Scotland Science, and endorsed by the Forth and Tay Regional Advisory Group. A study of such scale and detail is a first in the UK.

Keywords

Seabirds, Collision risk, Avoidance behaviour, Wind turbines

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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.
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