scholarly journals Passive acoustic detection of deep-diving beaked whales

2008 ◽  
Vol 124 (5) ◽  
pp. 2823-2832 ◽  
Author(s):  
Walter M. X. Zimmer ◽  
John Harwood ◽  
Peter L. Tyack ◽  
Mark P. Johnson ◽  
Peter T. Madsen
Keyword(s):  
Acoustic Detection ◽  
Deep Diving ◽  
Beaked Whales ◽  
Passive Acoustic

Fish Bioacoustics and Behavior: Passive Acoustic Detection and the Application of a Closed-Circuit Rebreather for Field Study

2001 ◽  
Vol 35 (2) ◽  
pp. 19-28 ◽  
Author(s):  
Phillip S. Lobel
Keyword(s):  
Behavioral Ecology ◽  
Daily Basis ◽  
Open Circuit ◽  
Acoustic Detection ◽  
Ecological Processes ◽  
Detection Technology ◽  
Scientific Goal ◽  
Species Specific ◽  
Passive Acoustic ◽  
And Behavior

The simple thesis of this paper is that using rebreathers to study fish behavioral ecology, especially bioacoustics, is well worth the expense and additional training required. The scientific goal of my bioacoustic research is to determine which fishes produce species-specific sound patterns exclusively with explicit acts of courtship and mating. This provides scientific insight into evolutionary and ecological processes and also provides data necessary to develop the passive acoustic detection technology for monitoring fish reproduction. When used on a daily basis, rebreathers, in my experience, are economical and as practical as open circuit scuba. This is based both on the costs of diving as well as the efficiency of gathering useful data. The use of open circuit SCUBA while conducting acoustic recordings results in a loss of at least 40% of the data due to the bubble noise from a divers breathing. Rebreathers also provide extended bottom time, especially in shallow water, which enhances a diver's ability to observe fish and gather acoustic-behavioral data.

scholarly journals Deep-diving beaked whales dive together but forage apart

2021 ◽  
Vol 288 (1942) ◽  
pp. 20201905
Author(s):  
Jesús Alcázar-Treviño ◽  
Mark Johnson ◽  
Patricia Arranz ◽  
Victoria E. Warren ◽  
Carlos J. Pérez-González ◽  
...  
Keyword(s):  
Beaked Whale ◽  
Acoustic Interference ◽  
Deep Diving ◽  
Trade Offs ◽  
Group Competition ◽  
Foraging Performance ◽  
Cooperative Foraging ◽  
Beaked Whales ◽  
Group Members ◽  
Benefits And Costs

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.

Acoustic detection of beaked whales from autonomous recording buoys

2008 ◽  
Vol 123 (5) ◽  
pp. 3207-3207 ◽  
Author(s):  
Antón Arias ◽  
Mark Johnson ◽  
Natacha Aguilar Soto ◽  
Peter T. Madsen ◽  
Peter Tyack ◽  
...  
Keyword(s):  
Acoustic Detection ◽  
Beaked Whales

Passive Acoustic Detection and Monitoring of Schools of Herring

2008 ◽  
Vol 123 (5) ◽  
pp. 3621-3621
Author(s):  
Thomas R. Hahn ◽  
Gary L. Thomas
Keyword(s):  
Acoustic Detection ◽  
Passive Acoustic
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