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Article

The Use of Animal-Borne Biologging and Telemetry Data to Quantify Spatial Overlap of Wildlife with Marine Renewables

1
Environmental Research Institute (ERI), North Highland College, University of the Highlands and Islands (UHI), Ormlie Road, Thurso KW14 7EE, UK
2
RSPB Centre for Conservation Science, North Scotland Regional Office, Beechwood Park, Inverness IV2 3BW, UK
3
School of Biological Sciences, Queen’s University Belfast, Belfast BT9 7BL, UK
4
Marine Scotland Science, Marine Laboratory, 375 Victoria Road, Aberdeen AB11 9DB, UK
*
Author to whom correspondence should be addressed.
Academic Editors: Anders Jensen Knudby and Giuseppa Buscaino
J. Mar. Sci. Eng. 2021, 9(3), 263; https://doi.org/10.3390/jmse9030263
Received: 31 December 2020 / Revised: 5 February 2021 / Accepted: 24 February 2021 / Published: 2 March 2021
(This article belongs to the Special Issue Selected Papers from the 7th PRIMaRE Conference 2020)
The growth of the marine renewable energy sector requires the potential effects on marine wildlife to be considered carefully. For this purpose, utilization distributions derived from animal-borne biologging and telemetry data provide accurate information on individual space use. The degree of spatial overlap between potentially vulnerable wildlife such as seabirds and development areas can subsequently be quantified and incorporated into impact assessments and siting decisions. While rich in information, processing and analyses of animal-borne tracking data are often not trivial. There is therefore a need for straightforward and reproducible workflows for this technique to be useful to marine renewables stakeholders. The aim of this study was to develop an analysis workflow to extract utilization distributions from animal-borne biologging and telemetry data explicitly for use in assessment of animal spatial overlap with marine renewable energy development areas. We applied the method to European shags (Phalacrocorax aristotelis) in relation to tidal stream turbines. While shag occurrence in the tidal development area was high (99.4%), there was no overlap (0.14%) with the smaller tidal lease sites within the development area. The method can be applied to any animal-borne bio-tracking datasets and is relevant to stakeholders aiming to quantify environmental effects of marine renewables. View Full-Text
Keywords: tidal turbines; marine planning; seabirds; GPS; TDR; utilization distributions; collision risk tidal turbines; marine planning; seabirds; GPS; TDR; utilization distributions; collision risk
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MDPI and ACS Style

Isaksson, N.; Cleasby, I.R.; Owen, E.; Williamson, B.J.; Houghton, J.D.R.; Wilson, J.; Masden, E.A. The Use of Animal-Borne Biologging and Telemetry Data to Quantify Spatial Overlap of Wildlife with Marine Renewables. J. Mar. Sci. Eng. 2021, 9, 263. https://doi.org/10.3390/jmse9030263

AMA Style

Isaksson N, Cleasby IR, Owen E, Williamson BJ, Houghton JDR, Wilson J, Masden EA. The Use of Animal-Borne Biologging and Telemetry Data to Quantify Spatial Overlap of Wildlife with Marine Renewables. Journal of Marine Science and Engineering. 2021; 9(3):263. https://doi.org/10.3390/jmse9030263

Chicago/Turabian Style

Isaksson, Natalie, Ian R. Cleasby, Ellie Owen, Benjamin J. Williamson, Jonathan D.R. Houghton, Jared Wilson, and Elizabeth A. Masden 2021. "The Use of Animal-Borne Biologging and Telemetry Data to Quantify Spatial Overlap of Wildlife with Marine Renewables" Journal of Marine Science and Engineering 9, no. 3: 263. https://doi.org/10.3390/jmse9030263

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