Could Beaked Whales get the Bends? Effect of Diving Behaviour and Physiology on Modelled Gas Exchange for Three Species: Ziphius Cavirostris, Mesoplodon Densirostris and Hyperoodon Ampullatus

Abstract

A mathematical model, based on current knowledge of gas exchange and physiology of marine mammals, was used to predict blood and tissue tension N2 (PN2) using field data from three beaked whale species: northern bottlenose whales, Cuvier's beaked whales, and Blainville's beaked whales. The objective was to determine if physiology (body mass, diving lung volume, dive response) or dive behaviour (dive depth and duration, changes in ascent rate, diel behaviour) would lead to differences in PN2 levels and thereby decompression sickness (DCS) risk between species. Diving lung volume and extent of the dive response had a large effect on end-dive PN2 . The dive profile had a larger influence on end-dive PN2 than body mass differences between species. Despite diel changes in dive behaviour, PN2 levels showed no consistent trend. Model output suggested that all three species live with tissue PN2 levels that would cause a significant proportion of DCS cases in terrestrial mammals. Cuvier's beaked whale diving behaviour appears to put them at higher risk than the other species, which may explain their prevalence in strandings after the use of mid-frequency sonar.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA518802

Entities

People

  • Andreas Fahlman
  • Robin W Baird
  • Sascha K. Hooker

Organizations

  • University of St Andrews

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy

DTIC Thesaurus Topics

  • Animals
  • Birds
  • Blood Flow
  • Cardiac Arrhythmias
  • Cardiovascular System
  • Cetaceans
  • Data Sets
  • Decompression
  • Decompression Sickness
  • Deep Diving
  • Fur
  • Mammals
  • Marine Mammals
  • Neurobiology
  • Odontocetes
  • Physiology
  • Rodents

Fields of Study

  • Environmental science

Readers

  • Marine Mammal Biology