Literature DB >> 28253702

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

Jamie Macaulay1, Jonathan Gordon1, Douglas Gillespie1, Chloë Malinka1, Simon Northridge1.   

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.

Entities:  

Year:  2017        PMID: 28253702     DOI: 10.1121/1.4976077

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  2 in total

1.  Estimating the abundance of the critically endangered Baltic Proper harbour porpoise (Phocoena phocoena) population using passive acoustic monitoring.

Authors:  Mats Amundin; Julia Carlström; Len Thomas; Ida Carlén; Jonas Teilmann; Jakob Tougaard; Olli Loisa; Line A Kyhn; Signe Sveegaard; M Louise Burt; Iwona Pawliczka; Radomil Koza; Bartlomiej Arciszewski; Anders Galatius; Jussi Laaksonlaita; Jamie MacAuley; Andrew J Wright; Anja Gallus; Michael Dähne; Alejandro Acevedo-Gutiérrez; Harald Benke; Jens Koblitz; Nick Tregenza; Daniel Wennerberg; Katharina Brundiers; Monika Kosecka; Cinthia Tiberi Ljungqvist; Ivar Jussi; Martin Jabbusch; Sami Lyytinen; Aleksej Šaškov; Penina Blankett
Journal:  Ecol Evol       Date:  2022-02-19       Impact factor: 2.912

2.  A tool for simulating collision probabilities of animals with marine renewable energy devices.

Authors:  Pál Schmitt; Ross Culloch; Lilian Lieber; Sverker Molander; Linus Hammar; Louise Kregting
Journal:  PLoS One       Date:  2017-11-29       Impact factor: 3.240

  2 in total

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