ArticlePDF Available

Abstract and Figures

Humpback whales (Megaptera novaeangliae) employ a unique and complex foraging behaviour — bubble-netting — that involves expelling air underwater to form a vertical cylinder-ring of bubbles around prey. We used digital suction cup tags (DTAGs) that concurrently measure pitch, roll, heading, depth and sound (96 kHz sampling rate), to provide the first depiction of the underwater behaviours in which humpback whales engage during bubble-net feeding. Body mechanics and swim paths were analysed using custom visualization software that animates the underwater track of the whale and quantifies tag sensor values. Bubble production was identified aurally and through spectrographic analysis of tag audio records. We identified two classes of behaviour (upward-spiral; 6 animals, 118 events and double-loop; 3 animals, 182 events) that whales used to create bubble nets. Specifically, we show the actual swim path of the whales (e.g., number of revolutions, turning rate, depth interval of spiral), when and where in the process bubbles were expelled and the pattern of bubble expulsion used by the animals. Relative to other baleanopterids, bubble-netting humpbacks demonstrate increased manoeuvrability probably aided by a unique hydrodynamicly enhanced body form. We identified an approximately 20 m depth or depth interval limit to the use of bubble nets and suggest that this limit is due to the physics of bubble dispersal to which humpback whales have behaviourally adapted. All animals were feeding with at least one untagged animal and we use our data to speculate that reciprocity or by-product mutualism best explain coordinated feeding behaviour in humpbacks.
Content may be subject to copyright.
Underwater components of humpback whale
bubble-net feeding behaviour
David Wiley1,6),Colin Ware2),Alessandro Bocconcelli3),Danielle
Cholewiak1),Ari Friedlaender4),Michael Thompson1)
& Mason Weinrich5)
(1Stellwagen Bank National Marine Sanctuary, NOAA National Ocean Service, 175
Edward Foster Road, Scituate, MA 02066, USA; 2Centre for Coastal and Ocean Mapping,
University of New Hampshire, 24 Colovos Road, Durham, NH 03824, USA; 3Woods Hole
Oceanographic Institution, 266 Woods Hole Road, Woods Hole, MA 02543, USA; 4Duke
University Marine Laboratory, 135 Pivers Island Road, Beaufort, NC 28516, USA; 5Whale
Centre of New England, 24 Harbour Loop Road, Gloucester, MA 01931, USA)
(Accepted: 24 March 2011)
Summary
Humpback whales (Megaptera novaeangliae) employ a unique and complex foraging be-
haviour — bubble-netting — that involves expelling air underwater to form a vertical
cylinder-ring of bubbles around prey. We used digital suction cup tags (DTAGs) that con-
currently measure pitch, roll, heading, depth and sound (96 kHz sampling rate), to provide
the first depiction of the underwater behaviours in which humpback whales engage during
bubble-net feeding. Body mechanics and swim paths were analysed using custom visual-
ization software that animates the underwater track of the whale and quantifies tag sensor
values. Bubble production was identified aurally and through spectrographic analysis of tag
audio records. We identified two classes of behaviour (upward-spiral; 6 animals, 118 events
and double-loop; 3 animals, 182 events) that whales used to create bubble nets. Specifically,
we show the actual swim path of the whales (e.g., number of revolutions, turning rate, depth
interval of spiral), when and where in the process bubbles were expelled and the pattern of
bubble expulsion used by the animals. Relative to other baleanopterids, bubble-netting hump-
backs demonstrate increased manoeuvrability probably aided by a unique hydrodynamicly
enhanced body form. We identified an approximately 20 m depth or depth interval limit to
the use of bubble nets and suggest that this limit is due to the physics of bubble dispersal
to which humpback whales have behaviourally adapted. All animals were feeding with at
6) Corresponding author’s e-mail address: David.Wiley@noaa.gov
©Koninklijke Brill NV, Leiden, 2011 Behaviour 148, 575-602
DOI:10.1163/000579511X570893 Also available online - www.brill.nl/beh
576 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
least one untagged animal and we use our data to speculate that reciprocity or by-product
mutualism best explain coordinated feeding behaviour in humpbacks.
Keywords: humpback whale, feeding, bubble net, kinematic, spiral-loop, double-loop.
1. Introduction
Humpback whales (Megaptera novaeangliae) are large baleen whales (8.5 m
at 0.5 years to 14.3 m at 17 years of age; Stevick, 1999) that feed on a variety
of relatively small prey species, each of which aggregate in dense concentra-
tions. Common prey include krill (euphausiid spp.), and schooling fish such
as herring (Clupea spp.), capelin (Mallotus villosus) and sand lance (Am-
modytes spp.) (e.g., Matthews, 1937; Tomilin, 1967; Overholtz & Nicolas,
1979; Ichii & Kato, 1991). In the Gulf of Maine, humpback whales typically
target small fish, primarily herring (Clupea harengus) and offshore American
sand lance (Ammodytes dubius; Hain et al., 1982; Kenney et al., 1985; Payne
et al., 1986, 1990). American sand lance, the preferred prey for whales in the
southern Gulf of Maine and the only prey identified during our study, live
in relatively shallow water, school in large aggregations and are relatively
weak swimmers (Overholtz & Nichols, 1979; Hain et al., 1982; Weinrich
et al., 1997). In particular, their tendency to school near the surface during
daylight hours, often in ‘chimney-like’ vertical columns, enables efficient
feeding by predatory humpback whales (Hain et al., 1982; Friedlaender et
al., 2009; Hazen et al., 2009).
Like all balaenopterids, humpback whales feed by engulfing a large vol-
ume of water containing prey and separating food and water using sieve-
like baleen plates (Slijper, 1962; Mackintosh, 1965). However, humpback
whales have unique behavioural and morphological adaptations that distin-
guish them from other baleen whales.
Behaviourally, humpback whales capture prey by engaging in complex
feeding manoeuvres that are often accompanied by the apparently directed
use of air bubbles. The ability of bubble barriers to corral or herd fish has
been reported by a number of authors (e.g., Smith, 1961; Blaxter & Batty,
1985; Sharpe & Dill, 1997). Bubble use by humpback whales has been
observed in many of their feeding habitats and is reported to occur in a
variety of configurations. These bubble-feeding behaviours appear to vary
in nature among both individuals and regions; for example, bubble clouds
Humpback whale bubble-net feeding behaviour 577
(the production of a single or multiple bursts of seltzer-sized bubbles) are
commonly observed from humpback whales in the Gulf of Maine, but never
in Alaskan waters.
Of the various bubble configurations reported, the most complex appears
to be the bubble net (Jurasz & Jurasz, 1978; Watkins & Schevill, 1979; Hain
et al., 1982). Existing descriptions of this unique and complex behaviour
are currently derived only from surface observations, predominately Jurasz
& Jurasz (1979) and Hain et al. (1982). As described by Jurasz & Jurasz
(1979), bubble nets are rings of distinctive bubbles that appear at the surface
in a closed circle or figure ‘9’. In the Gulf of Maine, bubble nets have been
further described by Hain et al. (1982) as a ring formed by a series of discrete
bubble columns, blown at 3–5 m depth, by a whale that is rotated inward
with the flippers in a vertical plane. The nets were described as incorporating
1.25–2 revolutions with smaller bubbles grading into larger bubbles as the net
was closed. In both descriptions, whales fed in the centre of the completed
bubble net at or near the surface.
Morphologically, as compared to other baleen whales, humpbacks whales
are adapted for manoeuvrability. The species is unique in the greater length
and higher aspect ratio of its flippers and the existence of a series of protuber-
ances (tubercles) along the leading edge of the flippers (Fish & Battle, 1995;
Fish, 2002; Miklosovic et al., 2004). These features have been hypothesized
to aid manoeuvrability by increasing lift and decreasing drag, allowing an-
imals to accomplish greater turning at lower speeds (Fish & Battle, 1995;
Fish, 2002; Miklosovic et al., 2004). In addition, humpbacks have large
flukes relative to their body size providing greater thrust for quick manoeu-
vres (Woodward et al., 2006). While other balaenopterid whales typically
feed by swimming rapidly forward in a relatively straight line and lunging in
a narrow plane to engulf prey (Ridgeway & Harrison, 1985; Goldbogen et al.,
2006), the morphologic adaptations favouring manoeuvrability are thought
to allow humpbacks to undertake the fine-scale movements needed to create
bubble nets (Fish & Battle, 1995; Fish, 2002; Miklosovic et al., 2004; Wood-
ward et al., 2006). However, the movements thought to be used by humpback
whales to create bubble nets are based only on surface observations and no
information exists regarding the actual kinematics of the sub-surface ma-
noeuvres used during feeding events. Therefore, the degree to which and/or
how humpback whales would need to manoeuvre when creating bubble nets
is unknown.
578 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
In this paper, we use data from short-term (<24 h) deployments of syn-
chronous motion, acoustic recording tags (Johnson & Tyack, 2003) to pro-
vide the first quantitative descriptions of the subsurface behaviours used by
humpback whales engaged in bubble-net feeding. We provide both detailed
kinematic descriptions and quantitative analyses of the behaviour patterns
accompanying bubble-net feeding, including the onset, pattern and duration
of bubble emission. Additionally, we examine the hypothesis that swim pat-
terns and bubble production occur in a way that act to aggregate prey rather
than simply surrounding it. We, therefore, provide novel information regard-
ing behaviour unique to humpback whales; the creation of bubble nets to
capture prey. In doing so, we provide data demonstrating the complex suite
of behaviours needed to create nets, which would be facilitated by the in-
creased manoeuvrability thought to result from the specialized morpholo-
gical adaptations (flipper size and shape) unique to the species. In addition,
we use our data to examine a possible vertical limit to bubble net creation and
use (approximately 20 m) and speculate on the apparent coordinated nature
of bubble net feeding in humpback whales.
2. Material and methods
2.1. Field methods
2.1.1. Study area and population
The study took place in the southern Gulf of Maine, primarily within the
Stellwagen Bank National Marine Sanctuary (421843N, 701853W) in
July 2006 and July 2007. In addition, one animal in our study was tagged in
the Great South Channel (41279N, 691812W) in 2004; its tag was re-
covered near the Northeast Peak of Georges Bank (414230N, 68223W)
several days after detachment. Because the records of surface feeding came
late in the tag record, we assume that the feeding behaviour took place near
the spot of recovery.
2.1.2. Tagging
We used digital acoustic recording, synchronous motion tags (DTAGs; John-
son & Tyack, 2003) to record the orientation, movements and acoustic be-
haviour of feeding whales. DTAGs are small, non-invasive, archival tags at-
tached via suction cups that contain a pressure sensor (depth) and 3-axis
Humpback whale bubble-net feeding behaviour 579
magnetometer and accelerometers to determine heading, pitch and roll at a
sampling rate of 50 Hz. The tags used two embedded hydrophones (Fs-64
and 96 kHz) to record acoustic information concurrent with the other sen-
sors. Tags had a memory-limited data collection duration of approximately
20 h. The tags also contained a VHF transmitter allowing the tracking of
whales independent of visual observation and to aid in the retrieval of tags.
Once recovered, data were downloaded for analysis.
Tags were placed on humpback whales that were approachable, but not
pre-selected. Attachment used a 7 m rigid-hulled inflatable boat (RHIB) with
a 15 m, bow-mounted, cantilevered pole or a 4 m RHIB and 7 m hand held
pole. Tagged whales were individually identified using naturally distinctive
markings on their dorsal fin and tail flukes (Katona & Whitehead, 1981;
Blackmer et al., 2000). This allowed us to know if an animal was tagged
more than once, a situation that occurred twice during the study. Tags were
placed as high on the back of the animal as possible to facilitate tracking
the VHF signal emitted by the tags. Tags were set to release at a pre-defined
time, which was determined by a series of factors including memory ca-
pacity, weather conditions and programmed release for other simultaneously
deployed tags.
Responses of the whales to the tagging event varied from none to indica-
tions of short-term disturbance such as diving, trumpet blowing, or acceler-
ating (Weinrich et al., 1991). The first 10 min of behavioural data (2–4 dives)
from all tags were discarded because of this potential response period.
2.1.3. Focal animal follows
Tagged animals were followed at a distance of 100–400 m by the RHIBs or,
if necessary, at greater distances by larger support vessels (either the 16 m
R/V Auk or the 70 m R/V Nancy Foster). During daylight hours (approxi-
mately 0600–2000 h) and when weather permitted, surface behaviours were
selected from an ethogram of >80 humpback whale behaviours and the times
(to the second) at which they occurred were recorded (e.g., Weinrich, 1991;
Weinrich et al., 1992). These data were synchronized using time and GPS po-
sitions to directly associate tag-derived data with their surface counterparts.
Bubble-net feeding events were initially identified by observing a circle of
bubbles on the surface followed by the whale’s emerging though the ring
with its mouth gaped. Because the swim track signature of these bubble-net
behaviours in TrackPlot (see below) was so distinct from other portions of
580 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
the whale swim tracks, we were able to identify additional bubble-net feed-
ing events during analysis. This allowed us to use data from periods when
inclement weather or other environmental conditions precluded focal fol-
lows.
2.2. Data analysis
2.2.1. Visualization of tag data
The DTAG data provided a continuous record of the tagged animal’s ‘atti-
tude’ (azimuth, pitch and roll) and depth. We converted this to a pseudo-track
(see Johnson & Tyack, 2003) by assuming that the animal was travelling at
a constant speed of one meter per second. Although this speed assumption
is likely not precisely accurate, the pseudo track provides a valuable tool
for understanding different kinematic behaviour patterns (i.e., Friedlaender
et al., 2009; Hazen et al., 2009), and has been shown to accurately depict
the movement patterns (but not geographic location) of the tagged animals
(Schmidt et al., 2010).
Data were visualized and analyzed using TrackPlot, a custom software
application designed for the project (Ware et al., 2006). TrackPlot uses a
ribbon to represent the 3D swim path (track) of the whale, with the ribbon’s
centre being the pseudotrack centre (Figure 1). In scale, the ribbon is four
meters wide and is twisted around the along-track direction to show roll
behaviour. A pattern of chevrons on the top surface of the ribbon provides
travel direction, segments the ribbon into 1-s intervals and gives an additional
orientation cue. Loops, turns and twists in the ribbon correspond to the same
orientations in the DTAG and, therefore, the whale. TrackPlot also features
rapid track traversal and an active zooming, rotational interface allowing us
to rapidly visualize different sections of a pseudo-track at different scales and
from different angles (Figure 1). This assured that we could obtain the best
visualization of the data and investigate a behavioural event in the context of
its pre and post behaviours.
TrackPlot also supports the generation of basic dive statistics, such as
duration, maximum depth, rate of descent, rate of ascent and rate of turn
(change in heading). Dive duration of a feeding behaviour was calculated
from the tag record by manually selecting the point of tag submergence for
a terminal dive and calculating the interval to the tag’s subsequent return to
the surface (depth reading of <1 m). Maximum depth for a dive/behaviour
Humpback whale bubble-net feeding behaviour 581
(a) (b)
Figure 1. DTAG derived data were visualized and analysed using TrackPlot, a custom
software application. TrackPlot creates a ribbon that represents the temporally accurate, 3D
swim path of the tagged whale. Chevrons on the ribbon’s top surface reveal travel direction
and segment the ribbon into 1-s time intervals. Loops, turns and rolls in the ribbon correspond
to the same orientations in the DTAG and, therefore, the whale. Panel (a) is a visualization
of several hours of data, while (b) shows a zoomed-in and rotated portion of the initial
dive in panel (a). TrackPlot features rapid track traversal and an active zooming, rotational
interface that allows the users to move through the track and view behaviour from different
angles. This figure is published in colour in the online edition, which can be accessed via
http://www.brill.nl/beh
was determined by identifying the deepest record during a dive interval.
Additionally, selecting any point in the track provided a read-out of the depth
and time for that location. This feature was used to correlate timed surface
behaviour observations with subsurface kinematic patterns. This feature was
also used for determining the depth and time at which we first heard bubbles
released by the whale and the duration of bubble emission (see below).
To investigate variation in turn rate (change in heading) and body orienta-
tion (roll angle) during the creation of a bubble net, we manually identified
the beginning and end of a bubble-producing swim track (dive). TrackPlot
would then integrate the turn rate or roll angle over that interval (e.g., total
degrees turned/time interval). This information was saved to a file along with
the turn angle, start depth, end depth, start time and end time. Time series
averages (and their standard deviations) were calculated by first determin-
ing mean segment duration; the segment’s durations were then normalized
to match this mean. The mean turn rate and roll angle and their standard de-
582 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
viation was then computed for each time step in the normalized segment to
determine if it changed throughout the course of the dive sequence. We hy-
pothesized that if animals exhibited increasing rates of turn the spirals were
becoming tighter and prey could be compacted in the upper portions of the
bubble net. If rate of turn remained constant or decreased through the bub-
ble net sequence we hypothesized that the animal did not spiral inwards and
bubbles were likely used to corral rather than concentrate prey. Similarly,
we hypothesized that if animals demonstrated increasing roll angle through
the spiral sequence this would be indicative of a constricting spiral and the
concentration of prey in the upper portions of the net.
2.2.2. Determination of bubble production
We identified bubble production by a whale by listening to the tagged ani-
mal’s audio record for clearly defined bubbles and visualizing a spectrogram
of the tag’s acoustic record using Raven, a bio-acoustic analysis program
(Charif et al., 2006). Bubbling behaviour produced a signature sound, which
was further connected to whale bubbling behaviour by matching sounds re-
corded from humpback whales seen to simultaneously emit bubbles in clear
Hawaiian waters (although this was not a feeding context). Hawaiian acous-
tic data were provided to us by Alison Stimpert, Biology Department, Uni-
versity of Hawaii, Honolulu HI, USA. We identified a continuous emission
of bubbles as a ‘stream’ and pulsed expulsions as ‘bursts’. No attempt was
made to determine whether the placement of tags on the whales affected the
recording of bubbling sounds. However, the placement of tags had relatively
low variability, typically located along the dorsal surface near or anterior to
the dorsal fin.
Since audio and sensor files are time-synchronized in the DTAG record,
we were able to locate the depth at which bubble production was first re-
corded in each behavioural event. In some cases, the number of dives anal-
ysed for bubble production was less than the total number of dives recorded
because the sound of passing ships interfered with bubble sounds. For one
animal (192a_06) we used a random numbers generator to sub-sample 20
events for analysis from the 109 available in the record.
2.2.3. Relationship of bubble feeding to water depth
To understand the relationship between a whale’s bubble-producing dive be-
haviour and the bottom depth over which it was feeding, we used ArcGIS
Humpback whale bubble-net feeding behaviour 583
9.2 Geographic Information System software (ESRI, Redlands, CA, USA).
We combined whale position data, using surface position fixes that combined
Leica laser-range finder binoculars with the RHIB’s GPS position during fo-
cal follows, with multibeam bathymetry (Valentine et al., 2001) to determine
the approximate water depth over which animals were feeding. We used a
linear regression model to test for a relationship between ocean depth and
the maximum depth of the foraging dive where a humpback whale produced
a bubble net.
3. Results
We recorded 300 tag-derived bubble-net feeding events from 9 individual
humpback whales; of the 300 events, 180 were complemented by surface ob-
servations. We found two distinct kinematic techniques associated with ani-
mals observed feeding via bubble nets; ‘upward-spirals’ and ‘double-loops’
(Figure 2). Because the swim track signature of these bubble net behaviours
(a) (b)
Figure 2. TrackPlot visualizations of the two main kinematic behaviours used by hump-
back whales to create bubble-nets as an aid to capturing prey; (a) an upward-spiral net and
(b) a double-loop net. Upward-spirals were produced as a single, continuous step, while
the double-loop technique was produced using 3 separate steps: (1) the deep corral-loop,
(2) a lobtail at the surface and (3) the capture-loop. At the end of each behaviour the whale
appeared in the net with its mouth gaped. This figure is published in colour in the online
edition, which can be accessed via http://www.brill.nl/beh
584 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
in TrackPlot was so distinct from other portions of the whale swim tracks, we
used all tag-derived events for kinematic analysis. We also identified two ad-
ditional behaviours of note, each recorded from a single animal: a combined
spiral-net/double-loop technique (one of the 9 individuals) and a free-form
technique where the animal, while surfacing in a bubble net with its mouth
open (feeding), swam neither a swim path that could produce a bubble net
nor expelled bubbles. Our analysis does not include numeric data on this
tenth tagged animal as it neither expelled bubbles nor swam a curvilinear
path that could be described. An example of its swim path is in Figure 8.
3.1. Upward-spiral bubble-net feeding
We analysed 118 upward-spiral bubble-net feeding events from six animals
(Table 1; seven animals are contained in Table 1: animals 198d_07 and
199a_07 are the same animal tagged on different days). The kinematic be-
haviour consisted of a clockwise upward spiral (Figure 3), mean ±SD =
2.1±0.3 revolutions (individualized mean range 1.5±0.3to2.3±0.4).
The combined mean duration of the dive segment associated with spiralling
was 70.6±15.2 s (individualized mean range 38.7±4.0to102.7±21.2s
(Table 1)). The combined mean rate of turn during spirals was 11.1±1.7/s,
(individualized mean range 7.9±0.8to14.2±1.2/s (Table 1)).
Body orientation (roll angle) during the spiralling event varied among
animals. Three animals tended to increase their body roll angle from the
beginning to the end of the spiral; two animals showed an initial increase
in body roll angle that then diminished through the spiral; and one animal,
tagged on two different days, exhibited increased roll angle during the initial
part of the spiral, followed by decreasing roll angle in the mid portion of
the spiral and increasing roll angle again during the terminal portions of the
spiral (Figure 4a–d). The rate of turn for four of the six animals showed an
increased turning rate in the final portion of the spiral (Figure 4e). Taken in
aggregate, there was a tendency for turning rate to increase through the spiral
duration (Figure 4f). The combination of increasing turn-rate and change in
body-roll angle tended to form a constricting spiral (Figure 5).
Upward-spiralling behaviour occurred in many parts of the water column
(Table 1). The deepest point of initiation was 41.1 m and the deepest point of
termination was 35.4 m. The shallowest point of initiation was 17.8 m and
the shallowest termination was 4.4 m. The mean depth interval (initiation to
Humpback whale bubble-net feeding behaviour 585
Table 1 . Kinematics of upward-spiral bubble-net feeding behaviour in humpback whales feeding on schools of small
fish (Ammodytes dubius). Data derived from synchronous motion, acoustic recording tags (DTAGs) attached to feeding
whales.
Animal Number Start depth of End depth of Depth interval of Spiral Number of Spiral turn
of events spiral (m) (σ)spiral(m)(σ)spiral(m)(σ) duration (m) (σ) revolutions rate (/s) (σ)
189b_04 4 34.9 (1.8) 28.3 (3.0) 6.6 (2.0) 38.7 (4.0) 1.37 (0.2) 7.9 (0.8)
195b_06 26 34.0 (4.7) 10.2 (1.4) 23.8 (5.2) 102.7 (21.2) 2.25 (0.4) 7.9 (0.8)
198c_07 7 23.8 (1.4) 6.7 (0.8) 17.1 (1.5) 50.5 (10.8) 1.48 (0.27) 10.7 (1.8)
198d_07* 10 20.0 (2.1) 5.3 (.83) 14.9 (2.1) 49.7 (8.1) 1.88 (0.2) 13.8 (1.25)
199a_07* 50 24.4 (1.53) 7.3 (2.0) 17.1 (3.0) 76.8 (18.0) 2.25 (0.35) 10.9 (1.97)
200b_07 3 19.6 (2.0) 12.0 (1.8) 7.7 (1.6) 62.2 (6.6) 1.97 (0.31) 11.41 (1.34)
202a_07 18 32.3 (3.4) 20.5 (4.6) 11.8 (4.1) 61.4 (14.4) 1.7 (0.3) 10.2 (1.3)
*Same animal tagged on different days.
586 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
Figure 3. Sample TrackPlot visualizations of the swim path used by individual study an-
imals to create upward-spiral bubble nets to capture prey. Data derived from synchronous
motion, acoustic recording tags (DTAGs) attached to the whales. This figure is published in
colour in the online edition, which can be accessed via http://www.brill.nl/beh
termination of spiralling) was 14.2 m (individual mean range 6.6–23.8 m).
For two animals (mn189b_04 and mn202a_07) the entire spiral sequence
occurred at depth, with termination deeper than 20 m. Concurrent surface
behaviour data on mn202a_07 showed that this animal surfaced with its
mouth closed and at distances >50 m from where the bubble net reached
the surface.
We were able to acoustically identify 70 complete bubble production
events during the creation of bubble nets using the upward-spiral method
(Table 2). Bubble onset typically occurred at the deepest portion of the ani-
mal’s dive, when the animal initiated its first turn (5 animals, 61 events). Bub-
ble production consisted of a continuous, long duration (approximately 50–
60 s) stream (4 animals, 30 events) or stream-to-burst sequence (2 animals,
31 events) that was emitted throughout the spiral (Table 2, Figure 6). Two
animals, 198c_07 and 198d_07/199a_07, departed from this pattern. Ani-
mal 198c_07 produced short duration (approximately 4 second) bursts only
at the top of the spiral. Animal 198d_07 produced streams-to-bursts only in
the bottom section of its dive during one tag application, while producing
streams throughout the spiral during its second tag application (199a_07).
Humpback whale bubble-net feeding behaviour 587
(a) (b)
(c) (d)
(e) (f)
Figure 4. Animals changed their body roll angle and turn rate (change in heading) as they
proceeded through the creation of an upward-spiral bubble net. Change in body roll angle
varied by animal (a). Three animals increased their roll angle in the latter portions of the
spiral (b), two animals showed initial increase roll angle in the early portions of the spiral
(c) and one animal, tagged on two different days, exhibited a bimodal pattern of increased
roll angle during the initial portions of the spiral, decreased roll angle in the mid-section
and increased roll angle again in the upper portions near the terminus of the spiral (d). Rate
of turn increased through the spiral duration for 4 of the 6 animals (e). In aggregate, there
was a tendency for animals to increase their rate of turn as they proceeded through spiral
formation (f). This figure is published in colour in the online edition, which can be accessed
via http://www.brill.nl/beh
588 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
(a) (b)
(c) (d)
Figure 5. Sample TrackPlot visualizations of turn rate and body roll contributing to spiral
formation. Constricting spirals formed by: (a) increasing turn rate and increased body roll
through the spiral (mn198c_07), (b) increasing turn rate and bimodal body roll through
the spiral (mn198d_07) and (c) increasing turn rate and decreased body roll through the
spiral (mn202b_07). A non-constricting spiral (d) formed by relatively constant turn rate and
bimodal body roll (mn199a_07). Body roll angle of >40are shown in yellow. Data derived
from synchronous motion, acoustic recording tags (DTAGs) attached to feeding humpback
whales. This figure is published in colour in the online edition, which can be accessed via
http://www.brill.nl/beh
3.2. Double-loop bubble-net feeding
In 2006, we recorded a total of 182 double-loop bubble nets produced by
three whales (animals 189b_06 and 192_06 are the same individual tagged
on different days). Double-loop bubble-net feeding behaviour consisted of
two individual dive loops separated by a surfacing that included one or more
‘lobtails’ (using the flukes to forcefully strike the water’s surface). The se-
quence’s initial loop was termed the ‘corral-loop’, while the second dive,
which terminated in the lunging behaviour and the consumption of prey, was
termed the ‘capture-loop’ (Figure 2). One animal was tagged on two differ-
ent days (189b_06 and 192a_06) and exhibited similar behaviour on both
days (Table 3, Figure 7).
Humpback whale bubble-net feeding behaviour 589
Table 2 . Bubble production by humpback whales during upward-spiral technique used for bubble-net feeding directed
at schools of small fish (Ammodytes dubius).
Animal Number of Bubble style Bubble location Depth bubble Depth bubble Bubble
events analysed onset (m) (σ) termination (m) (σ) duration (s) (σ)
189b_04 4 Stream Throughout spiral 34.9 (1.8) 28.3 (3.0) 63.6 (6.72)
195b_06 24 Stream to burst Throughout spiral 25.4 (4.93) 7.7 (2.29) 61.4 (19.43)
198c_07 9 Burst Top of spiral 10.5 (1.3) 7.6 (1.6) 4.4 (1.7)
198d_07* 7 Stream to burst Bottom of spiral 20.3 (1.41) 13.2 (1.29) 22.9 (1.98)
199a_07* 6 Stream Throughout spiral 24.0 (0.72) 12.6 (1.56) 52.9 (3.94)
200b_07 3 Stream Throughout spiral 18.9 (2.85) 12.5 (1.55) 55.7 (18.55)
202a_07 17 Stream Throughout spiral 32.9 (5.87) 19.8 (10.45) 54 (29.06)
Data derived from synchronous motion, acoustic recording tags (DTAGs) attached to feeding whales. Bubble production was identified aurally
and through spectrographic analysis using the acoustic software package Raven.
*Same animal tagged on different days.
590 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
(a)
(b) (c)
Figure 6. Raven generated spectrogram showing an example of stream-to-burst bubble
production used to create a bubble net (a), TrackPlot visualization of the spiral swim path
used to create the bubble net with portion of the track during which bubbles were expelled
coloured orange, portion of the track in which body roll angle exceeded 40coloured yellow
and chevron indicating the direction of travel (b) and an aerial photograph of a humpback
showing surface manifestation of stream-to-burst bubble net production (c). Data for (a) and
(b) derived from synchronous motion, acoustic recording tags (DTAGs) attached to feeding
humpback whale number198d_07. This figure is published in colour in the online edition,
which can be accessed via http://www.brill.nl/beh
The mean maximum depth for all corral-loops was 21.6±3.0 m (indi-
vidualized mean range 20.6±2.8to22.2±3.1 m). The mean dive duration
for the corral-loop was 62.4±SD 14.0 seconds (individualized mean range
54.9±9.8to66.0±13.5 s). The mean rate of turn for all corral-loops was
5.8±1.3/s (individualized mean range 5.5±0.3to6.5±1.17/s (Table 3)).
Humpback whale bubble-net feeding behaviour 591
Table 3 . Kinematics of double-loop bubble-net feeding behaviour in humpback whales directed at schools of small
fish (Ammodytes dubius).
Animal Number of Corral loop Corral loop Corral loop turn Capture-loop Capture-loop Capture-loop
events depth (m) (σ) duration (s) (σ) rate (deg/s) (σ)depth(m)(σ) duration (s) (σ)turnrate(
/s) (σ)
189b_06* 13 21.7 (3.5) 66.0 (13.5) 5.4 (1.1) 12.4 (1.2) 34.7 (3.5) 10.4 (1.0)
192a_06* 109 21.6 (2.9) 65.9 (16.0) 5.5 (1.3) 12.2 (1.1) 36.2 (4.0) 9.9 (1.1)
189c_06 33 22.2 (3.1) 54.9 (9.8) 6.5 (1.2) 13.6 (1.0) 34.2 (2.6) 10.5 (0.8)
196a_06 27 20.6 (2.8) 55.5 (9.8) 6.5 (1.1) 11.8 (1.1) 27.3 (2.1) 13.2 (1.0)
Data derived from synchronous motion, acoustic recording tags (DTAGs) attached to feeding humpback whales.
*Same animal tagged on different days.
592 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
Figure 7. Sample TrackPlot visualizations of double-loop swim path used by individual
study animals during the creation of a bubble net to capture prey. Animals 189b_06 and
192a_06 are the same animal that exhibited the same behaviour on different days. Data
derived from synchronous motion, acoustic recording tags (DTAGs). This figure is published
in colour in the online edition, which can be accessed via http://www.brill.nl/beh
The mean maximum depth for all capture-loops was 12.5±1.0 m (individ-
ualized mean range 11.8±1.1to13.6±1.0 m). The mean dive duration
for all capture-loops was 32.6±3.5 s (individualized mean range 27.3±2.1
to 36.2±4.0 s). The mean rate of turn for all capture-loops was 10.6/s
(individualized mean range 9.9±1.1to13.2±1.0/s; Table 3).
We chose 60 double-loop feeding events for which we had complete sound
files (e.g., sound from passing boats or ships did not interrupt the acous-
tic record) to examine parameters of bubble production during double-loop
feeding (Tables 4 and 5).
During the corral-loop, one animal, tagged on two different days (189b_06
and 192a_06), used a stream (189b_06) and burst or stream (192a_06) bubble
expulsion emitted from the bottom of the loop through most of its ascent on
all of its dives (N=10 and N=20, respectively), one animal (189c_06)
used a burst expulsion during its descent, but expelled bubbles during a
minority (7/19) of its corral-loop dives and one animal (196a_06) did not
expel bubbles during its swimming of the corral-loop (N=11).
During the capture-loop, one animal, tagged on two different days
(189b_06 and 192a_06), expelled bursts of bubbles during its descent, but
Humpback whale bubble-net feeding behaviour 593
Table 4 . Bubble production by humpback whales during the corral-loop portion of double-loop bubble-net feeding
directed at schools of small fish (Ammodytes dubius).
Animal Number of events Bubble style Number of Bubble location Depth of Depth of bubble Bubble
analysed/containing expulsions bubble onset termination duration
bubbles (N)(σ)(m)(σ)(m)(σ)(s)(σ)
189b_06* 10/10 Stream 1.4 (0.97) Bottom of loop–most of ascent 18.4 (2.80) 10.0 (3.33) 29.9 (5.52)
192a_06* 20/20 Stream (N=9)1.4 (0.84) Bottom of loop–most of ascent 18.3 (3.75) 4.4 (3.33) 29.5 (8.07)
Bursts (N=11)
189c_06 19/7 Burst 4.7 (3.15) Descent–bottom of loop 15.3 (3.72) 19.9 (2.34) 10.1 (3.97)
196a_06 11/0 NA 0 NA NA NA NA
Data derived from synchronous motion, acoustic recording tags (DTAGs) attached to feeding humpback whales. Bubble production was
identified aurally and through spectrographic analysis using the acoustic software package Raven.
*Same animal tagged on different days.
594 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
Table 5 . Bubble production by humpback whales during the capture-loop portion of double-loop bubble-net feeding
directed at schools of small fish (Ammodytes dubius).
Animal Number of events Bubble style Number of Bubble location Depth of Depth of bubble Bubble
analysed/containing expulsions bubble onset termination duration
bubbles (N)(σ)(m)(σ)(m)(σ)(s)(σ)
189b_06* 10/3 Burst 2.5 (0.89) Descent–bottom of loop 5.1 (1.21) 11.6 (0.67) 7.0 (2.03)
192a_06* 20/9 Burst 2.4 (0.92) Descent–bottom of loop 7.2 (2.19) 9.1 (2.18) 10.9 (7.21)
189c_06 19/19 Burst 4.1 (0.97) Bottom of loop 10.9 (1.81) 11.5 (1.53) 8.7 (2.64)
196a_06 11/11 Burst 2.7 (0.65) Bottom of loop 10.6 (2.18) 10.4 (1.27) 5.4 (1.43)
Data derived from synchronous motion, acoustic recording tags (DTAGs) attached to feeding humpback whales. Bubble production was
identified aurally and through spectrographic analysis using the acoustic software package Raven.
*Same animal tagged on different days.
Humpback whale bubble-net feeding behaviour 595
used bubbles in only a minority of its capture-loop dives (3/10 and 9/20).
Animals 189c_06 and 196a_06 expelled bursts at the bottom of all capture-
loops (N=19 and N=11, respectively).
Combining the corral-loops and capture-loops into the double-loop se-
quence, animals tended to show a preference for expelling bubbles in one or
the other. Animal 189b_06/192a_06 emitted bubbles during all of its corral-
loops (10/10 and 20/20), but in a minority of its capture loops (3/10 and
9/20). Animals 189c_06 and 196a_06 expelled bubbles in a minority of their
corral-loops (7/19 and 0/11, respectively), but in all of their capture-loops
(19/19 and 11/11, respectively). Animals emitted streams or bursts in the
corral-loop, but only bursts in the capture-loop.
3.3. Anomalous techniques
While most animals exhibited only a single bubble-feeding strategy, one
whale combined the two techniques. Animal 192a_06 engaged primarily in
double-loop feeding as described above, but on 11 occasions used an upward
spiral to create the corral-loop. We also recorded one animal (192b_06) that,
while surfacing in bubble nets with its mouth gaped, showed no indication
of behaviours capable of forming a bubble net. In the 10 events we recorded
from this animal, its more free-form swim track was variable, but relatively
linear (not spiralled or looped) and no bubble expulsion could be identified
from the acoustic record (Figure 8).
3.4. Dive-depth vs. bottom depth
We found no significant relationship between bottom depth and the maxi-
mum depth of a bubble-producing foraging dive (R2=0.13, F=2.84,
N=104, p<0.0001).
4. Discussion
We combined tag-derived and time-synchronized audio and kinematic data,
focal surface observations, and novel visualization software to provide the
first detailed descriptions of the underwater behaviours employed by hump-
back whales as they created bubble nets as an aid to capturing prey. We
identified two general classes of behaviour (upward-spiral and double-loop)
596 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
Figure 8. Sample TrackPlot visualization of the swim path used by animal 192b_06, which
surfaced through the centre of 10 bubble nets with its mouth gaped (feeding), but swam
neither a swim path that could create or mimic a net nor produced bubbles during the dive
preceding surfacing in the net. This figure is published in colour in the online edition, which
can be accessed via http://www.brill.nl/beh
that animals used to create bubble nets, each of which would require substan-
tial manoeuvrability and be aided by the unique hydrodynamicly enhanced
morphology of humpbacks.
Our data substantially expand upon existing descriptions, which are de-
rived only from surface observations summarized by Ingebrigsten (1929),
Jurasz & Jurasz (1979) and Hain et al. (1982). Specifically, we show the ac-
tual swim path of the animals (e.g., number of revolutions, turning rate, depth
interval of spiral), when and where in the process bubbles were expelled and
the pattern of bubble expulsion used by the animals. In the upward-spiral
technique, the onset of bubble production was generally consistent, begin-
ning at the deepest point of the dive and at or just before the initiation of a
turn that then became the start of the spiral. Continuous expulsion of bubbles
(presumably forming a bubble-stream curtain) was most common, but some
individuals also formed nets from individual bursts of bubbles (presumably
forming discrete columns) or a sequential gradation of the two techniques
(stream to bursts). Individual animals tended to be consistent in their strategy,
with most of the variation occurring among, not within, individuals. How-
ever, individuals did show variation, as demonstrated by animal 192a_06 that
used a spiral-net to create a corral-loop in 11 of its 109 double-loop events.
Humpback whale bubble-net feeding behaviour 597
While emitting bubbles during spiral-net formation, animals oriented their
bodies in a variety of ways. Some exhibited increased roll angle in the initial
stages of the spiral, others in the later stages; one whale, tagged on two sepa-
rate days, showed a bimodal trend with increased roll angle during the initial
and final portions. Some animals increased their turn rate towards the end
of the spiral (four of six animals), which supports the conjecture that spiral-
nets function to compact the whales’ prey prior to capture. However, not all
animals did so, which suggests that some animals use nets to contain, not
concentrate, prey or that some prey patch conditions are conducive to con-
tainment and others to compaction. This supports our depiction of the highly
plastic nature of humpback whale behaviour, with different animals accom-
plishing a similar task in varying ways or responding to different conditions
with altered behaviours.
While spiral-net behaviour has been partially described from surface ob-
servations in previous studies of humpback whale feeding behaviour, double-
loop behaviour used to create a bubble net has not been previously described.
The typical behaviour pattern consists of a three-step process: (1) the corral-
loop (the deeper first dive often containing an initial bubble event), (2) a brief
surfacing with 1–3 lobtails (using the flukes to forcefully strike the water’s
surface) and (3) the capture-loop (the shallower second dive where additional
bubbles can be released and when the actual feeding occurs). Since swim
loops and bubbles occur prior to the lobtails, it is unlikely that the lobtail is
used to mark a location for the net’s creation, as was suggested by Weinrich
et al. (1992).
The dive aspects of corral and capture-loop formation were consistent
across animals and relative to one another. For all animals, the deepest por-
tion of the corral-loop was approximately 21 m, the dive duration for the
loop was approximately 60 s and the turn rate to form the loop was approx-
imately 6/s. For the capture-loop, the deepest portion was approximately
13 m (slightly less than the body length for an adult Gulf of Maine hump-
back whale (True, 1904; Stevick et al., 1999), the dive duration was approx-
imately 33 s and the rate of turn to form the loop was approximately 11/s.
Hence, the capture-loop was a quick, shallow dive of approximately half the
depth, dive duration, and twice the turning rate relative to the corral-loop.
We remain unable to determine how the lobtail phase of this sequence aids
the whale in prey capture. However, since the corral-loop consists of a sin-
gle circle that would contain rather than concentrate prey, we speculate that
598 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
the lobtail action might serve to mass the fish more tightly within the net,
thereby increasing feeding efficiency of the whale(s). Clustering behaviour is
a common response of fish to predators or other frightening stimuli (Pitcher
& Parrish, 1993) and the percussive sound created when the whale’s flukes
strike the water’s surface during a lobtail could elicit such a response in sand
lance.
The consistent dive depth (approximately 13 m) and associated small
standard deviations of the capture-loop across all animals is most likely a
result of an animal diving to a distance equivalent to its body length before
turning up and into the net. For spiral-net and corral-loops, dive depth of a
bubble-producing dive was independent of water depth and most frequently
started at 20–25 m with a vertical span of <20 m. Hazen et al. (2009) used
dive data from our whales tagged in 2006 and concurrent SIMRAD EK-60
echosounder measures of prey fields to determine that maximum dive depth
of bubble-feeding whales was independent of maximum prey field depth.
Sharpe (2001) used echosounder tracking of bubble-feeding humpbacks
in Alaska to identify the same approximately 20 m limit to bubble use and
conducted tank experiments to observe the rise of simulated bubble nets to
the surface. He concluded that the differential rise speed of the different sized
bubbles comprising a net resulted in substantial gaps emerging after a rise
distance of approximately 20 m. That different sized bubbles move through
viscous mediums at different speed is a common tenant of fluid mechanics
(Hassan et al., 2008). Thus, the association of bubble releases within an
approximately 20 m depth interval observed in two separate oceans might be
related to the physics of bubble dispersion over depth, to which humpback
whales have adapted their behaviour. As such, it could be a universal aspect
of bubble-net feeding in humpbacks.
While for most animals bubble production and swim tracks matched what
might be expected to unilaterally create a net, for some animals it did not. For
instance, whale 198c_07 produced only single-burst bubble expulsions of
short (approximately 4-second) duration towards the top of the spiral. Sim-
ilar mismatches occurred during double-loop feeding; one whale (196a_06)
swam, but did not produce any bubbles during the corral-loop. It did pro-
duce a number of short (approximately 5-second) bursts at the bottom of all
capture-loops, but these would seem unlikely to form the net observed at the
surface.
Humpback whale bubble-net feeding behaviour 599
It is possible that these cases can be resolved by considering the behaviour
of associates of the tagged whale. All of the tagged animals were feeding in
groups that contained at least one associated animal and coordination among
feeding humpback whales has been noted numerous times (Whitehead, 1983;
Baker, 1985; D’Vincent et al., 1985; Weinrich, 1991; Weinrich & Kuhlberg,
1991), with cooperation (D’Vincent et al., 1985; Ramp et al., 2010) and role
specialization (Sharpe, 2001) hypothesized. Hence, bubbles produced during
only portions of a spiral might add to the bubbles produced by associates and
increase the capture success of the net. It is also possible that swimming spi-
rals without producing bubbles might synchronize movements of the group,
or that the body might be used as a herding device (Brodie, 1977).
While cooperative feeding by humpbacks has been hypothesized, the evo-
lution of cooperative strategies is most likely tooccur under conditions where
close kin relationships are maintained (Hamilton, 1964) and the social sys-
tem of humpback whales (e.g., promiscuous breeding, short mother–calf
bond, single birth offspring, wide dispersal of juveniles (Weinrich, 1991;
Clapham, 1994, 2000) is unlikely to promote such relationships and strate-
gies. In addition, any theoretical basis for humpback cooperation must also
account for the many instances in which the behaviour of the tagged whale
was capable of unilaterally creating the net, but our behavioural sequencing
data showed that other animals also fed in the net. Additionally, cases such
as animal 192b_06 that repeatedly surfaced in the centre of a net with its
mouth gaped, but neither swam a path that would produce or mimic a net nor
expelled bubbles must be included. While kin selected cooperation seems
unlikely, reciprocity or by-product mutualism might be occurring, with po-
tential cheaters acting as net robbers (Sachs et al., 2004).
Our findings demonstrate that the creation of bubble nets require hump-
back whales to perform complex body manoeuvres that are not used by
other baleanopterids, which employ a more linear feeding method (e.g.,
Goldbogen et al., 2006). Such manoeuvrability would require adaptations
favouring increased hydrodynamic performance, such as that provided by the
humpback’s unique flipper morphology (Fish, 1995; Fish & Battle, 2004).
Whether or not the evolution of the humpback flipper was caused by the ma-
noeuvrability required during complex feeding movements, their presence
has certainly contributed to the development of unique behavioural traits
(such as bubble-netting) that allow humpbacks to feed in a manner differ-
ent from other balaenopterids. This might allow humpbacks to exploit prey
600 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
patches with increased efficiency or to access highly mobile prey that would
otherwise be unavailable.
Acknowledgements
We thank the officers and crew of the NOAA research vessels Nancy Foster and Auk for
their capable assistance during field operations. We also thank the various members of our
field team over the years, including Roland Arsenault, Pat Halpin, Elliot Hazen, Tom Hurst,
Just Moller, Susan Parks, Cara Pecarcik, Allison Rosner, Kate Sardi, Jamison Smith, Alison
Stimpert, Jennifer Tackaberry, Becky Woodward and Jeremy Winn. Funding was provided
by the Stellwagen Bank National Marine Sanctuary, Office of National Marine Sanctuaries,
and the National Oceanographic Partnership Program. Whale tag data were collected under
permit Nos 775-185 (Northeast Fisheries Science Centre) and 605-1904 (Whale Centre of
New England) issued by the United States National Marine Fisheries Service. We thank
Jim Hain and Robert D. Kenney for providing the photos for the cover of this issue. The
manuscript benefitted from the comments of Phil Clapham, Bruce Alexander Schulte and
two anonymous reviewers.
References
Baker, C.S. (1985). The population structure and social organization of humpback whales
Megaptera novaeangliae in the central and eastern North Pacific. — PhD thesis, Uni-
versity of Hawaii, Honolulu, HI, 306 pp.
Blackmer, A.L., Anderson, S.K. & Weinrich, M.T. (2000). Temporal variability in features
used to photo-identify humpback whales (Megaptera novaeangliae). — Mar. Mamm.
Sci. 16: 338-354.
Blaxter, J.H. & Batty, R.S. (1985). Herring behaviour in the dark: responses to stationary and
continuously vibrating obstacles. — J. Mar. Biol. 65: 1031-1049.
Brodie, P.F. (1977). Form, function and energetics of Cetacea: a discussion. — In: Functional
anatomy of marine mammals, Vol. 3 (Harrison, R.J., ed.). Academic Press, New York,
NY, p. 45-58.
Charif, R.A., Clark, C.W. & Fristrup, K.M. (2006). Raven 1.3 user’s manual. — Cornell
Laboratory of Ornithology, Ithaca, NY.
Clapham, P.J. (1994). Maturational changes in patterns of association in male and female
humpback whales, Megaptera novaeangliae. — Can. J. Zool. 234: 265-274.
Clapham, P.J. (2000). The humpback whale: seasonal feeding and breeding in a baleen whale.
— In: Cetacean societies (Mann, L.M., Connor, R.C., Tyack, P.L. & Whitehead, H.,
eds). University of Chicago Press, Chicago, IL, p. 173-218.
D’Vincent, C.G., Nilson, R.M. & Hanna, R.H. (1985). Vocalization and coordinated feeding
behaviour of the humpback whale in southeastern Alaska. — Sci. Rep. Whales Res.
Inst. 36: 41-48.
Fish, F.E. (2002). Balancing requirements for stability and maneuverability in cetaceans. —
Integ. Comp. Biol. 42: 85-93.
Fish, F.E. & Battle, J.M. (1995). Hydrodynamic design of the humpback whale flipper. —
J. Morphol. 225: 51-60.
Friedlaender, A.S., Hazen, E.L., Nowacek, D.P., Ware, C., Weinrich, M.T., Hurst, T. & Wi-
ley, D.N. (2009). Changes in humpback whale (Megaptera novaeangliae) feeding be-
haviour in response to sand lance (Ammodytes spp.) behaviour and distribution. — Mar.
Ecol. Progr. Ser. 395: 91-100.
Humpback whale bubble-net feeding behaviour 601
Goldbogen, J.A., Calambokidis, J., Shadwick, R.E., Oleson, E.M., McDonald, M.A. & Hilbe-
brand, J.A. (2006). Kinematics of foraging dives and lunge feeding in fin whales. —
J. Exp. Biol. 209: 1231-1244.
Hain, J.H.W., Carter, G.R., Kraus, S.D., Mayo, C.A. & Winn, H.E. (1982). Feeding behavior
of the humpback whale, Megaptera novaeangliae, in the Western North Atlantic. —
Fish. Bull. 80: 259-268.
Hamilton, W.D. (1964). The genetical evolution of social behaviour. — J. Theor. Biol. 7:
1-52.
Hassan, N.M.S., Khaqn, M.M.K. & Rasul, M.G. (2008). A study of bubble trajectory and
drag co-efficient in water and non-newtonian fluids. — WSEAS Trans. Fluid Mech. 3:
261-270.
Hazen, E., Friedlaender, A., Thompson, M., Ware, C., Weinrich, M.T., Halpin, P. & Wi-
ley, D.N. (2009). Fine-scale prey aggregations and foraging ecology of humpback
whales Megaptera novaeangliae. — Mar. Ecol. Progr. Ser. 395: 75-89.
Ichii, T. & Kato, H. (1991). Food and daily food consumption of southern minke whales in
the Antarctic. — Polar Biol. 11: 479-487.
Ingebrigtsen, A. (1929). Whales caught in the North Atlantic and other seas. — Rapp. P.-V.
Reun. Int. Counc. Explor. Mer. 56: 1-26.
Johnson, M. & Tyack, P. (2003). A digital acoustic recording tag for measuring the response
of wild marine mammals to sound: marine mammals and noise. — IEEE J. Ocean. Eng.
28: 3-12.
Jurasz, C.M. & Jurasz, V.P. (1979). Feeding modes of the humpback whale (Megaptera
novaeangliae) in southeast Alaska. — Sci. Rep. Whales Res. Inst. 31: 69-83.
Katona, S.K. & Whitehead, H. (1981). Identifying humpback whales using their natural
markings. — Polar Rec. 20: 439-444.
Kenney, R.D., Hyman, M.A.M. & Winn, H.E. (1985). Calculation of standing stocks and
energetic requirements of the cetaceans of the Northeast United States outer continental
shelf. — NOAA Technical Memorandum NMFS-F/NEC-41, National Marine Fisheries
Service, Woods Hole, MA.
Mackintosh, N.A. (1965). The stocks of whales. — Fishing News, London.
Matthews, L.H. (1937). The humpback whale, Megaptera nodosa. — Discov. Rep. 17: 7-92.
Miklosovic, D.S., Murray, M.M., Howie, L.E. & Fish, F.E. (2004). Leading-edge tubercles
delay stall on humpback whale (Megaptera novaeangliae) flippers. — Phys. Fluids 16:
39-42.
Overholtz, W.J. & Nicolas, J.R. (1979). Apparent feeding by the fin whale, Balaenoptera
physalus, and humpback whale, Megaptera novaeangliae, on the American sand lance,
Ammodytes americanus, in the Northwest Atlantic. — Fish. Bull. 77: 285-287.
Payne, P.M., Nicolas, J.R., O’Brien, L. & Powers, K.D. (1986). The distribution of the hump-
back whale, Megaptera novaeangliae, on Georges Bank and in the Gulf of Maine in
relation to densities of the sand eel, Ammodytes americanus. — Fish. Bull. 84: 271-277.
Payne, P.M., Wiley, D.N., Young, S.B., Pittman, S., Clapham, P.J. & Jossi, J.W. (1990).
Recent fluctuations in the abundance of baleen whales in the southern Gulf of Maine in
relation to changes in selected prey. — Fish. Bull. 88: 687-696.
Pitcher, T.J. & Parrish, J.K. (1993). Function of shoaling behaviour in teleosts. — In: Behav-
ior of teleost fishes, 2nd edn. (Pitcher, T.J., ed.). Chapman & Hall, London, p. 363-439.
Ramp, C., Hagen, W., Palsboll, P., Berobe, M. & Sears, R. (2010). Age related multi-year
associations in female humpback whales (Megaptera novaeangliae). — Behav. Ecol.
Sociobiol. 64: 1563-1576.
602 Wiley, Ware, Bocconcelli, Cholewiak, Friedlaender, Thompson & Weinrich
Ridgeway, S.H. & Harrison, R.J. (1985). Handbook of marine mammals. Volume 3: The
sirinians and baleen whales. — Academic Press, New York, NY.
Sachs, J.L., Mueller, U.G., Wilcox, T.P. & Bull, J.J. (2004). The evolution of cooperation. —
Q. Rev. Biol. 79: 135-160.
Schmidt, V.E., Weber, T.C., Wiley, D. & Johnson, M.P. (2010). Underwater tracking of hump-
back whales (Megaptera novaeangliae) with HF pingers and acoustic recording tags. —
IEEE J. Ocean. Eng. 35: 821-836.
Sharpe, F.A. (2001). Social foraging of the Southeast Alaskan humpback whale, Megaptera
novaeangliae. — Dissertation, Simon Fraser University, Burnaby, BC, 129 pp.
Sharpe, F.A. & Dill, L.M. (1997). The behaviour of Pacific herring schools in response to
artificial whale bubbles. — Can. J. Zool. 75: 725-730.
Slijper, E.J. (1962). Whales. — Hutchinson & Co., London.
Smith, K.A. (1961). Air-curtain fishing for Maine sardines. — Fish. Rev. 23: 1-14.
Stevick, P.T. (1999). Age-length relationships in humpback whales: a comparison of strand-
ings in the western North Atlantic with commercial catches. — Mar. Mamm. Sci. 15:
725-737.
Tomilin, A.D. (1967). Mammals of the USSR and adjacent countries. — Cetacea 9: 1-717
(Transl. Isr. Prog. Sci., Jerusalem).
True, F.W. (1904). The Whalebone whales of the Western North Atlantic, compared with
those occurring in European waters, with some observations on the species of the North
Pacific. — Smithson. Contrib. Knowl. 33: 1-332.
Valentine, P.C., Middleton, T.J. & Fuller, S.J. (2001). Sun-illuminated topography, and
backscatter intensity of the Stellwagen Bank National Marine Sanctuary region off
Boston, Massachusetts. — United States Geological Survey Open-File Report 00-410,
scale 1:60 000, 1 CD-ROM.
Ware, C., Arsenault, R., Plumlee, M. & Wiley, D. (2006). Visualizing the underwater be-
haviour of humpback whales. — IEEE Comput. Graph. 26: 14-18.
Watkins, W.A. & Schevill, W.E. (1979). Aerial observation of feeding behaviour in four
baleen whales: Eubalaena glacialis,Balaenoptera borealis,Megaptera novaeangliae,
and Balaenoptera physalus. — J. Mamm. 60: 155-163.
Weinrich, M., Martin, M., Griffiths, R., Bove, J. & Schilling, M. (1997). A shift in distribution
of humpback whales, Megaptera novaeangliae, in response to prey in the southern Gulf
of Maine. — Fish. Bull. 95: 826-836.
Weinrich, M.T. (1991). Stable social associations among humpback whales (Megaptera no-
vaeangliae) in the southern Gulf of Maine. — Can. J. Zool. 69: 3012-3019.
Weinrich, M.T. & Kuhlberg, A.E. (1991). Short-term association patterns of humpback whale
(Megaptera novaeangliae) groups on their feeding grounds in the southern Gulf of
Maine. — Can. J. Zool. 69: 3005-3011.
Weinrich, M.T., Schilling, M.R. & Belt, C.R. (1992). Evidence for acquisition of a novel
feeding behaviour: lobtail feeding in humpback whales, Megaptera novaeangliae. —
Anim. Behav. 44: 1059-1072.
Whitehead, H. (1983). Structure and stability of humpback whale groups off Newfoundland.
— Can. J. Zool. 61: 1391-1397.
Woodward, B.L., Winn, J.P. & Fish, F.E. (2006). Morphological specializations of baleen
whales associated with hydrodynamic performance and ecological niche. — J. Morphol.
267: 1284-1294.
... This strategy occurs primarily at and around the surface, potentially further trapping prey by vertically compressing them against the surface. Previous work has supported that bubble nets aid in the prevention of prey escape in fish (Sharpe & Dill 1997) and krill (Finley et al. 2003), and some spiraling behavior by the whales appears to horizontally coral prey with a cone-shaped net, likely increasing prey density within the net (Wiley et al. 2011). Bubbles are also used in other feeding formations besides nets, such as clouds (i.e. ...
... Bubbles are also used in other feeding formations besides nets, such as clouds (i.e. production of a large, single mass of very small bubbles (Hain et al. 1982, Wiley et al. 2011 or curtains (i.e. a straight line of bubbles; Hain et al. 1982, Acevedo et al. 2011. ...
... BNF has primarily been documented in populations across the Northern Hemisphere, including the North Atlantic (Hain et al. 1982), North Pacific (Jurasz & Jurasz 1979), and Arabian Sea (Baldwin et al. 2011) feeding stocks. While populations often use different variations of the strategy (Sharpe 2002, Wiley et al. 2011, Allen et al. 2013, certain features seem to remain consistent. It appears to predominantly be a group feeding strategy, often occurring in groups of 3 or more. ...
Article
The innovation of new foraging strategies allows species to optimize their foraging in response to changing conditions. Humpback whales provide a good study species for this concept, as they utilize multiple novel foraging tactics across populations in diverse environments. Bubble-net feeding (BNF), commonly seen in the Northern Hemisphere, has emerged as a foraging innovation in the past 20 yr within the Western Antarctic Peninsula. Using sightings data from 2015-2023, we found that BNF was present in every study year, with an annual average of 30% of foraging sightings. This data was supplemented with 26 animal-born tags deployed over the same study period. Of these tags, 12 detected instances of BNF, with BNF making up an average of 19% of the foraging lunges detected. There were seasonal trends in BNF sightings, as it was observed significantly more often at the beginning of the feeding season (January) before declining. BNF group sizes (mean: 3.41) were significantly larger than non-BNF surface feeding groups (mean: 2.21). This observation is consistent with BNF in the Northern Hemisphere, which also appears to primarily be a group foraging strategy. The seasonal pattern and relatively recent emergence of BNF suggests that its use is likely tied to specific environmental conditions, which should be investigated by comparing BNF with variables such as prey density and light availability. The social transmission of novel foraging strategies across other populations further suggests that the prevalence of this strategy likely occurs through social learning.
... Aspects of bubble-nets and net-producing whales suggest that whales manufacture these nets as foraging tools [2]. For example, the use of bubble-nets has been observed repeatedly in association with foraging in allopatric humpback whale populations [23,24,[26][27][28][29]. Several researchers have noted differences in the size and shape of bubble-nets produced by whales between, and notably within, the same populations [24,25,30]. ...
... Pacific herring (Clupea pallasii), juvenile salmon (Oncorhynchus spp.) and krill (Order: Euphausiacea) [24,25,30]), suggesting that whales can exert control over their structure. Indeed, humpback whales' flexible, spindle-shaped bodies, elongated pectoral flippers with large, rounded tubercles on their leading edge and out-sized tails [29,31,32] probably provide them with sufficient manoeuvrability [33] to manufacture nets that increase foraging efficiency under specific conditions. ...
Article
Full-text available
Several animal species use tools for foraging; however, very few manufacture and/or modify those tools. Humpback whales, which manufacture bubble-net tools while foraging, are among these rare species. Using animal-borne tag and unoccupied aerial system technologies, we examine bubble-nets manufactured by solitary humpback whales (Megaptera novaeangliae) in Southeast Alaska while feeding on krill. We demonstrate that the nets consist of internally tangential rings and suggest that whales actively control the number of rings in a net, net size and depth and the horizontal spacing between neighbouring bubbles. We argue that whales regulate these net structural elements to increase per-lunge prey intake by, on average, sevenfold. We measured breath rate and swimming and lunge kinematics to show that the resulting increase in prey density does not increase energetic expenditure. Our results provide a novel insight into how bubble-net tools manufactured by solitary foraging humpback whales act to increase foraging efficiency.
... A new server placement technique employing the K-means algorithm is offered as another piece of machine learning work. Its goals are to better balance workloads and reduce the distance across servers and access points [20][21][22][25][26][27]. ...
... The intelligence-based algorithm WOA [25] is based on how humpback whales hunt. They locate the prey and encircle it. ...
Article
Full-text available
Each mobile user in a typical multi-user mobile cloud computing (MCC) system has a number of independent tasks to do. In the modern world of finite resources and growing demands, it is critical to make the best use of multiple available resources in order to optimize their edge server placements. In this article, we explore the best ways to deploy edge servers in a cost-effective and efficient manner. The issue of reducing the quantity of edge servers while maintaining the need for access delay in MCC setting has been addressed. The selection of the fewer computational access points co-located with an edge server to ensure optimal service for all users is one of the primary issues. The other is determining how to appropriately allocate offloading tasks to edge servers. We partition the mobile networks into clusters in response to these difficulties, and the cluster heads are co-located with edge servers. We redefine the term “dominating set” and convert the problem under consideration into the dual-modeled game theory (DGT) equivalent of the minimal dominating set problem. We provide new optimizer-based techniques to find the best solutions depending on various scenarios. Resource sharing and clustering can be done using an adapted Gaussian distribution function with the whale optimization algorithm (AGDF-WOA). The offloading choices can be made by each user using AGDF-WOA-DGT progress. Its effective reduction of edge servers and load balance that leads to lower energy and cost make it a desirable option for MCC through simulations.
... It has been suggested that humpback whales can react with Tail Slap if bothered [49]. In the Gulf of Maine, the southern population of humpback whales slap their tails several times during feeding at the surface, probably to scare fishes and gather them in "bubble-nets" [50,51]; therefore, a foraging function for this behaviour could be also assumed. ...
Article
Full-text available
The surface behaviours of humpback whales were studied in the presence of a whale-watching vessel at Nosy Be (Madagascar) during whale-watching activities, in order to characterise the ethogram of these animals. Data were collected from July to October 2018. Of the 75 total trips, humpback whales were observed 68 times and different types of aggregations were observed: Groups (33.82%), Mother–calf pairs (30.88%), Singles (27.94%), and Mother–calf and Escorts (7.35%). Individuals exhibited the following behaviours: Spouting, Breaching, Head Slap, Tail Throw, Tail Slap, Peck Slap, Spy-hopping, and Logging. Sighting data were evaluated by comparing the observed aggregations with reported behaviours, and vice versa. Among the most commonly observed behaviours, Spouting and Peck Slap were exhibited more in Groups, while Breaching was exhibited by all of the associations, with the exception of Singles. In Groups of more than two individuals, little or no social nor aggressive behaviours were observed, probably due to a lack of needing to attract the attention of other individuals. This suggests that, during the breeding season, Nosy Be could represent a wintering and weaning ground for calves.
... Tag attachment involves a close approach to the animal in a small rigid hull inflatable boat, where a 7-15 m pole is used to attach the tag to the whale. Individual responses varied from none to short-term (approximately 10 minutes or less) disturbance [70]. Tag placement was also limited to less sensitive areas on the back of the animal between the blowhole and dorsal fin. ...
Article
Full-text available
Studying sound production at different developmental stages can provide insight into the processes involved in vocal ontogeny. Humpback whales (Megaptera novaeangliae) are a known vocal learning species, but their vocal development is poorly understood. While studies of humpback whale calves in the early stages of their lives on the breeding grounds and migration routes exist, little is known about the behavior of these immature, dependent animals by the time they reach the feeding grounds. In this study, we used data from groups of North Atlantic humpback whales in the Gulf of Maine in which all members were simultaneously carrying acoustic recording tags attached with suction cups. This allowed for assignment of likely caller identity using the relative received levels of calls across tags. We analyzed data from 3 calves and 13 adults. There were high levels of call rate variation among these individuals and the results represent preliminary descriptions of calf behavior. Our analysis suggests that, in contrast to the breeding grounds or on migration, calves are no longer acoustically cryptic by the time they reach their feeding ground. Calves and adults both produce calls in bouts, but there may be some differences in bout parameters like inter-call intervals and bout durations. Calves were able to produce most of the adult vocal repertoire but used different call types in different proportions. Finally, we found evidence of immature call types in calves, akin to protosyllables used in babbling in other mammals, including humans. Overall, the sound production of humpback whale calves on the feeding grounds appears to be already similar to that of adults, but with differences in line with ontogenetic changes observed in other vocal learning species.
... Menhaden tend to form dense surface schools in shallow coastal waters in mid-Atlantic states (Brown et al., 2018;Goetsch et al., 2023). Humpback whales foraging in Virginia and New York waters often use surface foraging behavior (Smith et al., 2022;Stepanuk et al., 2021;Swingle et al., 1993), which may make whales more vulnerable to vessel strike (Parks et al., 2012;Wiley et al., 2011a). In addition, foraging in shallow ...
Article
Full-text available
Anthropogenic stressors threaten large whales globally. Effective management requires an understanding of where, when, and why threats are occurring. Strandings data provide key information on geographic hotspots of risk and the relative importance of various threats. There is currently considerable public interest in the increased frequency of large whale strandings occurring along the US East Coast of the United States since 2016. Interest is accentuated due to a purported link with offshore wind energy development. We reviewed spatiotemporal patterns of strandings, mortalities, and serious injuries of humpback whales (Megaptera novaeangliae), the species most frequently involved, for which the US government has declared an “unusual mortality event” (UME). Our analysis highlights the role of vessel strikes, exacerbated by recent changes in humpback whale distribution and vessel traffic. Humpback whales have expanded into new foraging grounds in recent years. Mortalities due to vessel strikes have increased significantly in these newly occupied regions, which show high vessel traffic that also increased markedly during the UME. Surface feeding and feeding in shallow waters may have been contributing factors. We found no evidence that offshore wind development contributed to strandings or mortalities. This work highlights the need to consider behavioral, ecological, and anthropogenic factors to determine the drivers of mortality and serious injury in large whales and to provide informed guidance to decision‐makers.
... This more commonly manifests in the form of aggregations around available prey, feeding near one another rather than explicitly coordinating. However, cooperative strategies have been documented in a select few species including bubble-net feeding in humpback whales (Sharpe 2002;Wiley et al. 2011), cooperative lateral lunging in Eden's whales (Balaenoptera edeni edeni) (Chen et al. 2023), and synchronized feeding dives in bowhead whales (Balaena mysticetus) (Moore et al. 2010). Animal borne tagging advancements are now allowing for a further exploration of the extent and role of coordination through simultaneous tagging events (Ware et al. 2014;Cioffi et al. 2021;Mastick et al. 2022). ...
Article
Full-text available
Top krill predators such as the Antarctic minke whale (AMW) serve a vital role within the fragile Antarctic sea-ice ecosystem. They are an abundant krill specialist, but their ecological role in the Antarctic remains poorly understood due to their cryptic behavior and remote habitat. It is therefore crucial to develop a baseline understanding of their basic social and foraging ecology. This study uses animal-borne camera tags to quantitatively explore these critical ecological aspects. Twenty-eight tags were deployed on AMW between 2018 and 2019 in Andvord and Paradise Bays around the Western Antarctic Peninsula. Tag data were analyzed with respect to diving, foraging, and social behavior. Results suggest the presence of loose fission-fusion sociality, with individuals forming short-term associations in 60.6% of cases including both foraging and non-foraging contexts. Socializing was significantly more common for larger individuals and resulted in a significant decrease in foraging rates for both shallow (< 30 m) and deep (> 30 m) dives. There were 12 instances of simultaneously tagged individuals that associated with one another in pairs or trios, displaying synchronized spatial movement and diving behavior. These data illustrated the use of group foraging strategies, with high incidence of synchronized foraging dives (67.5% of associated dives) and lunges (64% of associated lunges). Our results provide clear baseline information on AMW sociality and group foraging, which will help direct future studies for more targeted work. This study will improve our ability to understand the relationship between Antarctic species and their environment as climate change continues to alter the ecosystem landscape.
Chapter
Marine mammals could be impacted by deep-sea mining activities because of their physiological and behavioural characteristics, their migration patterns and their ecology, although there are knowledge gaps concerning them for the Clarion-Clipperton Zone (CCZ). This chapter aims at reviewing the current state of marine mammal populations and their associated ecosystems in the water column of the tropical north-eastern Pacific. Specifically, we assess their vulnerability to natural and anthropogenic impacts, in particular to deep-sea mining in the mineral-rich CCZ. As there is growing evidence that marine mammal communities and other apex predators play a critical role in ecosystem structures and functions, we outline their vulnerability and the existing conservation measures for marine mammals in the Pacific. We then propose to enhance knowledge in different domains of research linked to marine mammals and to adapt conservation strategies to ensure their well-being and the continuity of the ecosystem services they provide to the oceans and human societies in integration with other fields of ocean management.
Article
Full-text available
From the mid-1970's to the mid-80's, Stellwagen Bank was an important humpback whale feeding area with sand lance (Ammodytes spp.) as the major prey. Between 1988 and 1994, however, the number of humpback whales we identified each year on Stellwagen declined from a high of 258 (1990) to 7 (1994), and the mean number of whales identified per day fell from 17.7 (1988) to 0.9 (1994). Adult whales decreased steadily after 1988; juveniles decreased rapidly after 1991. Echo-sounder data from Stellwagen showed that prey trace levels declined from 19.1% of the vertical water column in 1990 to 2.8% in 1992 (no readings were taken in 1988-89, or 1993-94). Simultaneously, the number of whales identified on Jeffreys Ledge, north of Stellwagen Bank, increased dramatically beginning in 1992. Sixty-four percent of the whales identified on Jeffreys in 1992-94 were seen on Stellwagen Bank in 1988 and 1989. We hypothesize that humpback whales shift their distribution in order to prey upon recovering herring populations, their primary source of food.
Article
Full-text available
Observations on the feeding behavior of the humpback whale, Megapteranovaeangliae, were made from aerial and surface platforms fTom 1977 to 1980 in the continental shelf waters of the north­ eastern United States. The resulting catalog of behaviors includes two principal categories: Swim­ ming/lunging behaviors and bubbling behaviors. A behavior from a given category may be used independently or in association with others, and by individual or groups of humpbacks. The first category includes surface lunging, circular swimming/thrashing, and the "inside loop" behavior. In the second category, a wide variety of feeding-associated bubbling behaviors are described, some for the first time. The structures formed by underwater exhalations are of two major types: 1) bubble cloud-a single, relatively large (4-7m diameter), dome-shaped cloud formed of small, uniformly sized bubbles; and 2) bubble column-a smaller (1-1.5 m diameter) structure composed of larger, randomly sized bubbles, used in series or multiples. Both basic structures are employed in a variety of ways. Many of these behaviors are believed to be utilized to maintain naturally occurring concentrations of prey, which have been identified as the American sand lance, Ammodytes americanus, and occasionally as herring, Clupea harengus. This paper reports on the feeding behavior of the humpback whale, Megaptera novaeangliae, in the continental shelf waters of the northeastern United States. We describe several feeding be­ haviors reported for the first time, as well as a number of behaviors known from other areas but not previously reported for these waters. Our col­ lective observations provide the beginning of a more complete catalog than has previously been available.
Article
Distinct behavioral differences were noted from aerial observations of four species of baleen whales (Eubalaena glacialis, right whale; Balaenoptera borealis, sei whale; Megaptera novaeangliae, humpback whale; Balaenoptera physalus, finback whale) feeding together on 30 April and 1 May 1975. The right and sei whales fed together on patches of plankton. Right whales fed steadily with mouths open in the densest areas, while the sei whale followed a faster but more erratic path through the patches, alternately opening and slowly closing its mouth with slight throat distension at each closing. Humpback and finback whales fed together on dense schools of fish associated with the patches of plankton. The humpback fed by rushing, generally from below the schools of fish, while finback feeding was by more horizontal passes sometimes characterized by sharp turns and rolls within the fish schools and often with enormous throat distension.
Article
There is growing concern about the effect on marine mammals of underwater sound sources such as vessels, industrial equipment, and sonar. In order to quantify the reaction of these animals to sound, controlled exposure experiments have been attempted using surface observations or vocal monitoring to estimate response. However, the short surface time of most marine mammals, and their often unknown vocalization rates, limit the effectiveness of such experiments. To address these problems, a small digital recording tag, the DTAG, has been developed capable of simultaneously sampling the acoustic environment of the host animal, together with its orientation, heading, and depth. The tag has a 400‐Mbyte memory array sufficient to record audio and sensor signals for several hours. The tag is encapsulated in a plastic resin and can operate at a water depth up to 3000 m. Programing and data off‐load are accomplished with an infrared communications link to a personal computer. The DTAG has been deployed on northern right whales and sperm whales using suction cup attachments. Delivery was by means of a cantilevered pole from a small boat. The resulting data indicate a number of behavioral response metrics as well as new results on dive behavior and vocalization rates.