Trackline and Point Detection Probabilities for Acoustic Surveys of Cuvier's and Blainville's Beaked Whales

Abstract

Acoustic survey methods can be used to estimate density and abundance using sounds produced by cetaceans and detected using hydrophones if the probability of detection can be estimated. For passive acoustic surveys, probability of detection at zero horizontal distance from a sensor, commonly called g(0), depends on the temporal patterns of vocalizations. Methods to estimate g(0) are developed based on the assumption that a beaked whale will be detected if it is producing regular echolocation clicks directly under or above a hydrophone. Data from acoustic recording tags placed on two species of beaked whales (Cuvier s beaked whale Ziphius cavirostris and Blainville s beaked whale Mesoplodon densirostris) are used to directly estimate the percentage of time they produce echolocation clicks. A model of vocal behavior for these species as a function of their diving behavior is applied to other types of dive data (from time-depth recorders and time-depth-transmitting satellite tags) to indirectly determine g(0) in other locations for low ambient noise conditions. Estimates of g(0) for a single instant in time are 0.28 [standard deviation (s.d.) = 0.05] for Cuvier s beaked whale and 0.19 (s.d. = 0.01) for Blainville s beaked whale.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2013
Accession Number
ADA602850

Entities

People

  • Gregory S. Schorr
  • Jay Barlow
  • Mark P. Johnson
  • Natacha A. De Soto
  • Peter L. Tyack
  • Robin W Baird
  • Russel D. Andrews

Organizations

  • National Marine Fisheries Service

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Detection
  • Acoustics
  • Animals
  • Birds
  • Canary Islands
  • Cetaceans
  • Detection
  • Detectors
  • Fish
  • Habitats
  • Mammals
  • Marine Mammals
  • Naval Operations
  • Odontocetes
  • Recording Systems
  • Surveys
  • Wildlife

Fields of Study

  • Environmental science

Readers

  • Marine Mammal Biology
  • Regression Analysis.

Technology Areas

  • Space