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Lateralized behaviour refers to a preference for using a specific limb or direction of movement that is consistent across events. We investigated apparent lateralized behaviour in North Atlantic humpback whales, Megaptera novaeangliae, in the southern Gulf of Maine using digital acoustic tag (‘DTAG’) technology to analyse feeding behaviours during 2004–2009. An ideal tool to examine lateralized behaviours, DTAGs allowed continuous measurements of whale depth, heading, pitch and roll throughout the attachment period (less than 24 h). Side preference (right or left) in rolling behaviours (e.g. bottom rolling and side lunging) and directional preference (clockwise or anticlockwise) in feeding behaviours such as looping and spiraling were determined from visual examination of DTAG data. A ‘handedness index’ (HI) was used to quantify side bias and strength of preference. We found a population-level right-side bias similar to the 90/10 right-hand bias in humans. Furthermore, photos of jaw scuffing and direct tag data on rolling behaviour were used to assign a bottom-rolling side preference for 11 individuals for whom both of these data were available, 10 (90.9%) of which demonstrated a right-side bias. Consistent laterality was observed between individuals that performed bottom rolling and directional feeding behaviours, which was biased in the right/clockwise direction. Younger individuals tended to show weaker lateralization scores than older individuals, even among adults (P = 0.048), suggesting that lateralization develops, and continues to do so, beyond sexual maturity.

Soft-bodied marine invertebrates comprise a keystone component of ocean ecosystems; however, we know little of their behaviors and physiological responses within their natural habitat. Quantifying ocean conditions and measuring organismal responses to the physical environment is vital to understanding the species or ecosystem-level influences of a changing ocean. Here we describe a novel, soft-bodied invertebrate eco-sensor tag (the ITAG), its trial attachments to squid and jellyfish, and the fine-scale behavioral measurements recorded on captive animals. Tags were deployed on five jellyfish (Aurelia aurita) and eight squid (Loligo forbesi) in laboratory conditions for up to 24 h. Using concurrent video and tag data, movement signatures for specific behaviors were identified. These behaviors included straight swimming (for jellyfish), and finning, jetting, direction reversal and turning (for squid). Overall activity levels were quantified using the root-mean-squared magnitude of acceleration, and finning was found to be the dominant squid swimming gait during captive squid experiments. External light sensors on the ITAG were used to compare squid swimming activity relative to ambient light across a ca. 20-h trial. The deployments revealed that while swimming was continuous for captive squid, energetically costly swimming behaviors (i.e., jetting and rapid direction reversals) occurred infrequently. These data reflect the usefulness of the ITAG to study trade-offs between behavior and energy expenditure in captive and wild animals. These data demonstrate that eco-sensors with sufficiently high sampling rates can be applied to quantify behavior of soft-bodied taxa and changes in behavior due to interactions with the surrounding environment. The methods and tool described here open the door for substantial lab and field-based measurements of fine-scale behavior, physiology, and concurrent environmental parameters that will inform fisheries management, and elucidate the ecology of these important keystone taxa.

Attaching bio-telemetry or -logging devices ('tags') to marine animals for research and monitoring adds drag to streamlined bodies, affecting posture, swimming gaits and energy balance. These costs have never been measured in free-swimming cetaceans. To examine the effect of drag from a tag on metabolic rate, cost of transport, and swimming behavior, four captive male dolphins (Tursiops truncatus) were trained to swim a set course, either non-instrumented (n = 7) or instrumented with a tag (DTAG2; n = 12), and surface exclusively in a flow-through respirometer where oxygen consumption (V̇O2) and carbon dioxide production (V̇CO2; mL kg-1 min-1) rates were measured and respiratory exchange ratio (V̇O2/V̇CO2) was calculated. Tags did not significantly affect individual mass-specific oxygen consumption, Physical Activity Ratios (exercise V̇O2/resting V̇O2), total or net cost of transport (COT, J m-1 kg-1) or locomotor costs during swimming or two-minute recovery phases. However, individuals swam significantly slower when tagged (by ~11%; mean±s.d. 3.31±0.35 m s-1) compared to when non-instrumented (3.73±0.41 m s-1). A combined theoretical and Computational Fluid Dynamics (CFD) model estimating drag forces and power exertion during swimming suggests drag loading and energy consumption are reduced at lower swimming speeds. Bottlenose dolphins in the specific swimming task in this experiment slowed to the point where the tag yielded no increases in drag or power, while showing no difference in metabolic parameters when instrumented with a DTAG2. These results, and our observations, suggest that animals modify their behavior to maintain metabolic output and energy expenditure when faced with tag-induced drag.