1. Detection probability and density estimation of fin whales by a Seaglider
- Author
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Danielle Harris, Jay Barlow, Brian Matsuyama, Holger Klinck, Haruyoshi Matsumoto, Selene Fregosi, David K. Mellinger, Stephen W. Martin, Office of Naval Research, University of St Andrews. Sea Mammal Research Unit, University of St Andrews. School of Mathematics and Statistics, University of St Andrews. Centre for Research into Ecological & Environmental Modelling, and University of St Andrews. Arctic Research Centre
- Subjects
Fin ,Acoustics and Ultrasonics ,Aircraft ,NDAS ,Baleen whale ,Arts and Humanities (miscellaneous) ,biology.animal ,Range (statistics) ,Animals ,Probability ,MCC ,GC ,QL ,biology ,Fin Whale ,Whale ,iRobot Seaglider ,Glider ,Density estimation ,Acoustics ,QL Zoology ,biology.organism_classification ,Geodesy ,AC ,Noise ,GC Oceanography ,Cetacea ,Vocalization, Animal ,Geology - Abstract
Funding: Funding for this work was provided by Living Marine Resources Program Grant No. N39430-14-C-1435 and Office of Naval Research Grant No. N00014-15-1‐2142. S.F. was supported by the Department of Defense National Science and Engineering Graduate Fellowship. This is Pacific Marine Environmental Laboratory (PMEL) Contribution No. 5101. A single-hydrophone ocean glider was deployed within a cabled hydrophone array to demonstrate a framework for estimating population density of fin whales ( Balaenoptera physalus) from a passive acoustic glider. The array was used to estimate tracks of acoustically active whales. These tracks became detection trials to model the detection function for glider-recorded 360-s windows containing fin whale 20-Hz pulses using a generalized additive model. Detection probability was dependent on both horizontal distance and low-frequency glider flow noise. At the median 40-Hz spectral level of 97 dB re 1 μPa2/Hz, detection probability was near one at horizontal distance zero with an effective detection radius of 17.1 km [coefficient of variation (CV) = 0.13]. Using estimates of acoustic availability and acoustically active group size from tagged and tracked fin whales, respectively, density of fin whales was estimated as 1.8 whales per 1000 km2 (CV = 0.55). A plot sampling density estimate for the same area and time, estimated from array data alone, was 1.3 whales per 1000 km2 (CV = 0.51). While the presented density estimates are from a small demonstration experiment and should be used with caution, the framework presented here advances our understanding of the potential use of gliders for cetacean density estimation. Publisher PDF
- Published
- 2022