title: Avoidance of wind farms by harbour seals is limited to pile driving activities.
abstract: As part of global efforts to reduce dependence on carbon-based energy sources there has been a rapid increase in the installation of renewable energy devices. The installation and operation of these devices can result in conflicts with wildlife. In the marine environment, mammals may avoid wind farms that are under construction or operating. Such avoidance may lead to more time spent travelling or displacement from key habitats. A paucity of data on at-sea movements of marine mammals around wind farms limits our understanding of the nature of their potential impacts.Here, we present the results of a telemetry study on harbour sealsPhoca vitulinain The Wash, south-east England, an area where wind farms are being constructed using impact pile driving. We investigated whether seals avoid wind farms during operation, construction in its entirety, or during piling activity. The study was carried out using historical telemetry data collected prior to any wind farm development and telemetry data collected in 2012 during the construction of one wind farm and the operation of another.Within an operational wind farm, there was a close-to-significant increase in seal usage compared to prior to wind farm development. However, the wind farm was at the edge of a large area of increased usage, so the presence of the wind farm was unlikely to be the cause.There was no significant displacement during construction as a whole. However, during piling, seal usage (abundance) was significantly reduced up to 25 km from the piling activity; within 25 km of the centre of the wind farm, there was a 19 to 83% (95% confidence intervals) decrease in usage compared to during breaks in piling, equating to a mean estimated displacement of 440 individuals. This amounts to significant displacement starting from predicted received levels of between 166 and 178 dB re 1 μPa(p-p). Displacement was limited to piling activity; within 2 h of cessation of pile driving, seals were distributed as per the non-piling scenario.Synthesis and applications. Our spatial and temporal quantification of avoidance of wind farms by harbour seals is critical to reduce uncertainty and increase robustness in environmental impact assessments of future developments. Specifically, the results will allow policymakers to produce industry guidance on the likelihood of displacement of seals in response to pile driving; the relationship between sound levels and avoidance rates; and the duration of any avoidance, thus allowing far more accurate environmental assessments to be carried out during the consenting process. Further, our results can be used to inform mitigation strategies in terms of both the sound levels likely to cause displacement and what temporal patterns of piling would minimize the magnitude of the energetic impacts of displacement.
authors.affiliation: Sea Mammal Research Unit University of St Andrews St Andrews Fife KY16 8LB UK; Centre for Research into Ecological and Environmental Modelling University of St Andrews St Andrews Fife KY16 9LZ UK.
authors.forename: Debbie J F
authors.initials: DJ
authors.lastname: Russell
authors.affiliation: Sea Mammal Research Unit University of St Andrews St Andrews Fife KY16 8LB UK.
authors.forename: Gordon D
authors.initials: GD
authors.lastname: Hastie
authors.affiliation: Sea Mammal Research Unit University of St Andrews St Andrews Fife KY16 8LB UK.
authors.forename: David
authors.initials: D
authors.lastname: Thompson
authors.affiliation: Sea Mammal Research Unit University of St Andrews St Andrews Fife KY16 8LB UK.
authors.forename: Vincent M
authors.initials: VM
authors.lastname: Janik
authors.affiliation: Sea Mammal Research Unit University of St Andrews St Andrews Fife KY16 8LB UK.
authors.forename: Philip S
authors.initials: PS
authors.lastname: Hammond
authors.affiliation: Centre for Research into Ecological and Environmental Modelling University of St Andrews St Andrews Fife KY16 9LZ UK.
authors.forename: Lindesay A S
authors.initials: LA
authors.lastname: Scott-Hayward
authors.affiliation: Institute of Biodiversity Animal Health, and Comparative Medicine University of Glasgow Graham Kerr Building Glasgow G12 8QQ UK.
authors.forename: Jason
authors.initials: J
authors.lastname: Matthiopoulos
authors.affiliation: Sea Mammal Research Unit University of St Andrews St Andrews Fife KY16 8LB UK; Centre for Research into Ecological and Environmental Modelling University of St Andrews St Andrews Fife KY16 9LZ UK.
authors.forename: Esther L
authors.initials: EL
authors.lastname: Jones
authors.affiliation: Sea Mammal Research Unit University of St Andrews St Andrews Fife KY16 8LB UK.
authors.forename: Bernie J
authors.initials: BJ
authors.lastname: McConnell
keywords: Complex Region Spatial Smoother; Spatially Adaptive Local Smoothing Algorithm; disturbance; marine renewables; marine spatial planning; pinnipeds; renewable energy; spatially adaptive smoothing; underwater noise