[MARMAM] Passive Acoustic Methods for Fine-scale Tracking of Harbour Porpoises

Jamie Macaulay macster110 at gmail.com
Mon Mar 6 07:59:02 PST 2017


We are pleased to announce the release of our new paper:

*Passive Acoustic Methods for Fine-scale Tracking of Harbour Porpoises in
Tidal Rapids*
Jamie Macaulay, Jonathan Gordon, Douglas Gillespie, Chloe Malinka & Simon

ABSTRACT: 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.

The paper is available here:

Macaulay, J., Gordon, J., Gillespie, D., Malinka, C., & S. Northridge.
(2017). "Passive acoustic methods for fine-scale tracking of harbour
porpoises in tidal rapids." *The Journal of the Acoustical Society of
America* *141*(2): 1120-1132. doi: http://dx.doi.org/10.1121/1.4976077


Jamie Macaulay
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