Deep-diving beaked whales dive together but forage apart

Abstract

Echolocating animals that forage in social groups can potentially benefit from eavesdropping on other group members, cooperative foraging or social defence, but may also face problems of acoustic interference and intra-group competition for prey. Here, we investigate these potential trade-offs of sociality for extreme deep-diving Blainville′s and Cuvier's beaked whales. These species perform highly synchronous group dives as a presumed predator-avoidance behaviour, but the benefits and costs of this on foraging have not been investigated. We show that group members could hear their companions for a median of at least 91% of the vocal foraging phase of their dives. This enables whales to coordinate their mean travel direction despite differing individual headings as they pursue prey on a minute-by-minute basis. While beaked whales coordinate their echolocation-based foraging periods tightly, individual click and buzz rates are both independent of the number of whales in the group. Thus, their foraging performance is not affected by intra-group competition or interference from group members, and they do not seem to capitalize directly on eavesdropping on the echoes produced by the echolocation clicks of their companions. We conclude that the close diving and vocal synchronization of beaked whale groups that quantitatively reduces predation risk has little impact on foraging performance.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 06, 2021
Source ID
10.1098/rspb.2020.1905

Entities

People

  • Carlos J. Pérez-González
  • J. Alcázar
  • Mark Johnson
  • Natacha Aguilar de Soto
  • Patricia Arranz
  • Peter Teglberg Madsen
  • Tiago A Marques
  • Victoria E Warren

Organizations

  • Aarhus Universitets Forskningsfond
  • Aarhus University
  • Marie Skłodowska-Curie Actions
  • Office of Naval Research
  • University of Auckland
  • University of La Laguna
  • University of St Andrews

Tags

Readers

  • Computational Modeling and Simulation
  • Marine Mammal Biology