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Soundscape and Noise Exposure Monitoring in a Marine Protected Area Using Shipping Data and Time-Lapse Footage

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Part of the Advances in Experimental Medicine and Biology book series (AEMB,volume 875)

Abstract

We review recent work that developed new techniques for underwater noise assessment that integrate acoustic monitoring with automatic identification system (AIS) shipping data and time-lapse video, meteorological, and tidal data. Two sites were studied within the Moray Firth Special Area of Conservation (SAC) for bottlenose dolphins, where increased shipping traffic is expected from construction of offshore wind farms outside the SAC. Noise exposure varied markedly between the sites, and natural and anthropogenic contributions were characterized using multiple data sources. At one site, AIS-operating vessels accounted for total cumulative sound exposure (0.1–10 kHz), suggesting that noise modeling using the AIS would be feasible.

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Acknowledgments

Funding for equipment and data collection was provided by Moray Offshore Renewables Ltd. and Beatrice Offshore Wind Ltd. We thank Baker Consultants and Moray First Marine for their assistance with device calibration and deployment, respectively. We also thank Ian McConnell of shipais.com for automatic identification system (AIS) data. Nathan D. Merchant was funded by an Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Award No. EP/P505399/1. Enrico Pirotta was funded by the the Marine Alliance for Science and Technology for Scotland (MASTS) pooling initiative and its support is gratefully acknowledged. MASTS is funded by the Scottish Funding Council (Grant Reference HR09011) and contributing institutions.

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Correspondence to Nathan D. Merchant .

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Merchant, N.D., Pirotta, E., Barton, T.R., Thompson, P.M. (2016). Soundscape and Noise Exposure Monitoring in a Marine Protected Area Using Shipping Data and Time-Lapse Footage. In: Popper, A., Hawkins, A. (eds) The Effects of Noise on Aquatic Life II. Advances in Experimental Medicine and Biology, vol 875. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2981-8_85

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