Passive acoustic methods for fine-scale tracking of harbour porpoises in tidal rapids

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  • Jamie Macaulay, Sea Mammal Research Unit, University of St. Andrews, St. Andrews
  • ,
  • Jonathan Gordon, Sea Mammal Research Unit, University of St. Andrews, St. Andrews , Storbritannien
  • Douglas Gillespie, Sea Mammal Research Unit, University of St. Andrews, St. Andrews , Storbritannien
  • Chloe Elizabeth Malinka
  • Simon Northridge, Sea Mammal Research Unit, University of St. Andrews, St. Andrews
The growing interest in generating electrical power from tidal currents using tidal turbine generators raises a number of environmental concerns, including the risk that marine mammals might be injured or killed through collision with rotating turbine blades. To understand this risk, information on how marine mammals use tidal rapid habitats and in particular, their underwater movements and dive behaviour is required. Porpoises, which are the most abundant small cetacean at most European tidal sites, are difficult animals to tag, and the limited size of tidal habitats means that any telemetered animal would be likely to spend only a small proportion of time within them. Here, an alternative approach is explored, whereby passive acoustic monitoring (PAM) is used to obtain fine scale geo-referenced tracks of harbour porpoises in tidal rapid areas. Large aperture hydrophone arrays are required to obtain accurate locations of animals from PAM data and automated algorithms are necessary to process the large quantities of acoustic data collected on such systems during a typical survey. Methods to automate localisation, including a method to match porpoise detections on different hydrophones and separate different vocalising animals, and an assessment of the localisation accuracy of the large aperture hydrophone array are presented.
OriginalsprogEngelsk
TidsskriftThe Journal of the Acoustical Society of America
Vol/bind141
Nummer2
Sider (fra-til)1120-1132
Antal sider12
ISSN0001-4966
DOI
StatusUdgivet - 27 feb. 2017
Eksternt udgivetJa

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