P
Peter L. Tyack
Researcher at University of St Andrews
Publications - 295
Citations - 21381
Peter L. Tyack is an academic researcher from University of St Andrews. The author has contributed to research in topics: Whale & Human echolocation. The author has an hindex of 75, co-authored 281 publications receiving 19108 citations. Previous affiliations of Peter L. Tyack include Woods Hole Oceanographic Institution & Rockefeller University.
Papers
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A digital acoustic recording tag for measuring the response of wild marine mammals to sound
Mark Johnson,Peter L. Tyack +1 more
TL;DR: In this paper, a novel archival tag, called the DTAG, has been developed to monitor the behavior of marine mammals, and their response to sound, continuously throughout the dive cycle.
Journal ArticleDOI
Marine mammal noise-exposure criteria: initial scientific recommendations
Brandon L. Southall,Ann E. Bowles,William T. Ellison,James J. Finneran,Roger L. Gentry,Charles R. Greene,David Kastak,Darlene R. Ketten,James H. Miller,Paul E. Nachtigall,W. John Richardson,Jeanette A. Thomas,Peter L. Tyack +12 more
TL;DR: In this article, the authors present the MARINE MAMMAL NOISE-EXPOSURE CRITERIA: INITIAL SCIENTIFIC RECOMMENDATIONS.
The bottlenose dolphin: social relationships in a fission-fusion society
Rc Connor,Randall S. Wells,Janet Mann,AJ Read,Pl Tyack,Hal Whitehead,Rs Wells,Aj. Read,Randall S. Wells,Andrew J. Read,Richard C. Connor,Peter L. Tyack,RC Connor,PL Tyack +13 more
Journal ArticleDOI
Responses of cetaceans to anthropogenic noise
TL;DR: In this paper, a review of the effects of anthropogenic noise on cetaceans has been published and their ability to document response(s), or the lack thereof, has improved.
Journal ArticleDOI
Estimating animal population density using passive acoustics
Tiago Reis Marques,Tiago Reis Marques,Len Thomas,Stephen W. Martin,David K. Mellinger,Jessica Ward,David Moretti,Danielle Harris,Peter L. Tyack +8 more
TL;DR: In this paper, the authors present an overview of animal density estimation using passive acoustic data, a relatively new and fast-developing field, and provide a framework for acoustics-based density estimation, illustrated with real-world case studies.