Comparison of fin whale 20 Hz call detections by deep-water mobile autonomous and stationary recorders

Abstract

Acoustically equipped deep-water mobile autonomous platforms can be used to survey for marine mammals over intermediate spatiotemporal scales. Direct comparisons to fixed recorders are necessary to evaluate these tools as passive acoustic monitoring platforms. One glider and two drifting deep-water floats were simultaneously deployed within a deep-water cabled hydrophone array to quantitatively assess their survey capabilities. The glider was able to follow a pre-defined track while float movement was somewhat unpredictable. Fin whale (Balaenoptera physalus) 20 Hz pulses were recorded by all hydrophones throughout the two-week deployment. Calls were identified using a template detector, which performed similarly across recorder types. The glider data contained up to 78% fewer detections per hour due to increased low-frequency flow noise present during glider descents. The glider performed comparably to the floats and fixed recorders at coarser temporal scales; hourly and daily presence of detections did not vary by recorder type. Flow noise was related to glider speed through water and dive state. Glider speeds through water of 25 cm/s or less are suggested to minimize flow noise and the importance of glider ballasting, detector characterization, and normalization by effort when interpreting glider-collected data and applying it to marine mammal density estimation are discussed.

Document Details

Document Type
Pub Defense Publication
Publication Date
Feb 01, 2020
Source ID
10.1121/10.0000617

Entities

People

  • Brian Matsuyama
  • Christina Negretti
  • Danielle V. Harris
  • David J. Moretti
  • David Mellinger
  • Haruyoshi Matsumoto
  • Holger Klinck
  • Peter J. Dugan
  • Selene Fregosi
  • Stephen W. Martin

Organizations

  • Cornell University
  • National Marine Mammal Foundation
  • Naval Undersea Warfare Center
  • Office of Naval Research
  • Oregon State University
  • University of St Andrews

Tags

Readers

  • Acoustical Oceanography.
  • Computational Modeling and Simulation
  • Marine Mammal Biology

Technology Areas

  • Autonomy