2pAB4 – Towards understanding how dolphins use sound to understand their environment

YeonJoon Cheong – yjcheong@umich.edu
K. Alex Shorter – kshorter@umich.edu
Bogdan-Ioan Popa – bipopa@umich.edu
University of Michigan, Ann Arbor
2350 Hayward St
Ann Arbor, MI 48109-2125

Popular version of 2pAB4 – Acoustic scene modeling for echolocation in bottlenose dolphin
Presented Tuesday Morning, November 30, 2021
181st ASA Meeting
Click here to read the abstract

Dolphins are excellent at using ultrasound to discover their surroundings and find hidden objects. In a process called echolocation, dolphins project outgoing ultrasound pulses called clicks and receive echoes from distant objects, which are converted into a model of the surroundings. Despite significant research on echolocation, how dolphins process echoes to find objects in cluttered environments, and how they adapt their searching strategy based on the received echoes are still open questions.

Fig. 1. A target discrimination task where the dolphin finds and touches the target of interest. During the experiment the animal was asked to find a target shape in the presence of up to three additional “distraction” objects randomly placed in four locations (red dashed locations). The animal was blindfolded using “eye-cups”, and data from the trials were collected using sound (Dtag) and motion recording tags (MTag) on the animal, overhead video, and acoustic recorders at the targets.

Here we developed a framework that combines experimental measurements and physics-based models of the acoustic source and environments to provide new insight into echolocation. We conducted echolocation experiments at Dolphin Quest Oahu, Hawaii, which consisted of two stages. In the first stage, a dolphin was trained to search for a designated target using both vision and sound. In the second stage, the dolphin was asked to find the designated target placed randomly in the environment in the presence of distraction objects while “blind-folded” using suction cups, Fig. 1. After each trial, the dolphin was rewarded with a fish if it selected the correct target.
Target discrimination tasks have been used by many research groups to investigate echolocation. Interesting behavior has been observed during these tasks. For example, animals sometimes swim from object to object, carefully inspecting them before making a decision. Other times they swim without hesitation straight to the target. These types of behavior are often characterized using measurements of animal acoustics and movement, but how clutter in the environment changes the difficulty of the discrimination task or how much information the animals gather about the acoustic scene before target selection are not fully understood.
Our approach assumes that the dolphins memorize target echoes from different locations in the environment during training. We hypothesize that in a cluttered environment the dolphin selects the object that best matches the learned target echo signature, even if it is not an exact match. Our framework enables the calculation of a parameter that quantifies how well a received echo matches the learned echo, called the “likelihood parameter”. This parameter was used to build a map of the most likely target locations in the acoustic scene.

During the experiments, the dolphin swam to and investigated positions in the environment with high predicted target likelihood, as estimated by our approach. When the cluttered scene resulted in multiple objects with high likelihood values, the animal was observed to move towards and scan those areas to collect information before the decision. In other scenarios, the computed likelihood parameter was large at only one position, which explained why the animal swam to that position without hesitation. These results suggest that dolphins might create a similar “likelihood map” as information is gathered before target selection.
The proposed approach provides important additional insight into the acoustic scene formulated by echolocating dolphins, and how the animals use this evolving information to classify and locate targets. Our framework will lead to a more complete understanding of the complex perception procedure used by the echolocating animals.

4aAB7 – Slower ships, quieter oceans: Reducing underwater noise to support endangered killer whales

Krista Trounce, krista.trounce@portvancouver.com
Vancouver Fraser Port Authority
999 Canada Place, Vancouver, British Columbia, V6C 3T4

Popular version of 4aAB7 – Managing vessel-generated underwater noise to reduce acoustic impacts to killer whales
Presented at the 181st Acoustical Society of America Meeting at 10:40 AM PST on Thursday, December 2, 2021
Click here to read the abstract

Every year, thousands of ships en route to Canada’s largest port, the Port of Vancouver, transit through the Pacific Ocean’s richly biodiverse Salish Sea, home to a vast array of marine life including the endangered Southern Resident killer whale.

As Southern Resident killer whales rely on sound to survive, underwater noise from commercial ships can interfere with their ability to hunt, navigate, and communicate, which is why both the Canadian and U.S. governments recognize “acoustic disturbance” as one of the key threats to the species’ recovery.
To better understand and reduce the effects of vessel-generated noise on local whale populations, the Vancouver Fraser Port Authority launched the Enhancing Cetacean Habitat and Observation (ECHO) Program in 2014. The ECHO Program coordinates research projects to advance our understanding of underwater vessel noise and since 2017, has led seasonal initiatives encouraging ships to slow down or stay distanced to reduce underwater vessel noise while transiting through Southern Resident killer whale foraging areas.

To achieve high levels of participation in its voluntary initiatives, the ECHO Program works closely with both Canadian and US marine transportation industry, vessel traffic management agencies and pilots and captains aboard commercial vessels. During the last two seasonal slowdowns, over 90% of piloted commercial vessels voluntarily reduced speed in Haro Strait and Boundary Pass, key areas of Southern Resident killer whale critical habitat. In-water measurements collected on behalf of the ECHO Program and the Government of Canada have shown that for the vast majority of ships plying the waters of the Salish Sea, reduced speeds result in measurable reductions in underwater noise generated both at the ship source, and in nearby whale habitats.
Hear the difference: Underwater sound from the same container ship operating at regular and reduced speeds

MP3: Container ship at regular speed (19.4 knots)*

MP3: Container ¬¬¬ship at reduced speed (10.6 knots)*

To date, more than 6,000 ships have participated in the ECHO Program’s voluntary underwater noise reduction initiatives, by either slowing down, or moving away from key areas, across 74 nautical miles of shipping routes in the Salish Sea. During the summer of 2020, these initiatives helped achieve a nearly 50% reduction in underwater sound intensity from commercial shipping, in key Southern Resident killer whale foraging areas.
The endangered Southern Resident killer whales face many challenges to their recovery, and underwater noise from vessel traffic is just one of these challenges. Through science-based decisions and regional collaboration, the ECHO Program partners are proving that voluntary efforts can help make a difference.

A killer whale (orcinus orca) nearby a commercial ship transiting through the Salish Sea, off British Columbia’s southern coast. (Photo credit: Joan Lopez)

A pod of killer whales (orcinus orca) travel nearby a commercial ship in pod formation. The southern resident killer population is made up of three matrilineal pods (J, K, L), which are led by the eldest female. (Photo credit: Joan Lopez)

 

2pPPa1 – Flying bats modify their biosonar sounds to avoid interference from other bats

Andrea M. Simmons, andrea_simmons@brown.edu
Charlotte R. Thorson, charlotte_thorson@alumni.brown.edu
Madeline McLaughlin, madeline_mclaughlin1@brown.edu
Pedro Polanco, pedro_polanco@alumni.brown.edu
Amaro Tuninetti, amaro_tuninetti@brown.edu
James A. Simmons, james_simmons@brown.edu
Brown University
Providence RI 02912

Popular version of 2pPPa1 – Echolocating bats modify biosonar emissions when avoiding obstacles during difficult navigation tasks
Presented Tuesday afternoon, December 2, 2021
181th ASA Meeting, Seattle WA
Click here to read the abstract

Bats use echolocation, an active biological sonar, to find their way in the dark. By broadcasting trains of intense ultrasonic sounds and listening to returning echoes, they can locate and identify obstacles to their flight (vegetation, buildings) and capture small insect prey. Bats often fly and forage in groups. When other flying bats are present, they face the added challenge of separating out the echoes from their own broadcasts from the broadcasts and echoes created by these other bats, while still maintaining their flight path. To assess how bats address these challenges, we flew individual and then pairs of big brown bats (Eptesicus fuscus) through a curved flight corridor bounded by rows of closely spaced vertical hanging plastic chains that produced echoes mimicking those produced by dense vegetation. When flying alone, each bat broadcasts sonar sounds containing frequencies from 100-25 kHz in a characteristic pattern of alternating long and short time intervals. These short time intervals allow fast reactions to immediate collision hazards, while the long intervals allow the bat to peer deep into its surroundings to plan its upcoming flight path. When two bats fly towards each other from opposite ends of the curved corridor, they maneuver to avoid colliding. There are three distinctive biosonar reactions tied to these maneuvers. First, both bats increase the strength of their broadcasts (Lombard effect) during the brief time they are in close proximity. Second, they produce more short time intervals, speeding up their broadcast rate. Third, at the point where they are in closest proximity and the need for each bat to avoid being interfered with by the other bat is most acute, one of them sharply decreases the low-frequency end of its broadcasts to about 15 kHz. This unusual, asymmetric response allows this bat to distinguish echoes of its own broadcasts from those of the other bat, even though the total range of frequencies remains large. Bats place particular priority on the lowest frequencies in echoes, and having different lowest frequencies lets them separate out each other’s biosonar broadcasts and prevent mutual interference when close together.

5aABb2 – A tale of two singers: how do bats and bird mixed-flocks respond to petroleum industry noise in the Ecuadorian Amazon

Rivera-Parra, JL, jose.riverap@epn.edu.ec
De la Cruz, I.
Viscarra, S.
Vasconez, C.
Dueñas, A.
Xulvi, R.
Sorriso-Valvo, L.

Popular version of 5aABb2 – A tale of two singers: how do bats and bird mixed-flocks respond to petroleum industry noise in the Ecuadorian Amazon
Presented Friday morning, December 3, 2021
181st ASA Meeting, Seattle, WA
Click here to read the abstract

Industrial noise can have a significant impact on animal groups that rely on acoustic communication for fundamental survival activities. Our research focuses on two of these groups: insectivorous bats, which use ultrasound to navigate and find food; and mixed flocks of insectivorous birds, that rely on vocalizations to communicate about foraging direction and potential threats. The Yasuni Bio-sphere Reserve in the Ecuadorian Amazon is one of the most biodiverse spots in the world, but it is also a place with thriving oil exploitation activities.

It is well known that some disturbance, such as roads, or industrial noise, can be related to biodiversity loss, however, how much of these effects can be attributable to the noise caused by the oil exploitation have never been measured, nor has it been characterized. Furthermore, characterization of noise is usually done only in the audible spectrum, meaning the frequencies that us as hu-mans can hear, but is not done taking into account ultrasound.

To characterize the noise caused by oil exploitation we selected three different places, based on the potential source related to the oil industry, plus a control point: 1) drilling site, 2) processing facilities, 3) a control site, a forest with no disturbance. For all three sites recordings of both audible and ultrasonic sound were made in a transect from the border of the source of industrial noise to-wards the forest. To further analyze the effects of the noise, biological surveys were made both in birds and bats. We characterized bats and birds vocalizations, and the industrial noise profile, both in ultrasound and audible frequencies.

Our results suggest, in both groups, the immediate response is avoidance; this results, in the short and long term, in a biodiversity loss. These effects are proportional to how much noise the habitat itself absorbs, the complexity of the habitat, the complexity of the noise, and the distance from the source. In the long term the effects seem to include a change on habitat use, and modification on community composition. Thus is possible it can cause a disruption of ecosystem services by bats and birds, such as natural pest control, polinization, and seed dispersal, which can lead to a broader change in forest dynamic.

petroleum industry noise

1pABb6 – Eavesdropping on a bald eagle breeding pair

JoAnn McGee – mcgeej@umn.edu
VA Loma Linda Healthcare System, Loma Linda, CA 92357
Center for Applied and Translational Sensory Science,
University of Minnesota,
Minneapolis, MN 55455

Peggy B. Nelson – nelso477@umn.edu
Department of Speech-Language-Hearing Sciences and the Center for Applied and Translational Sensory Science,
University of Minnesota,
Minneapolis, MN 55455

Julia B. Ponder – ponde003@umn.edu
The Raptor Center,
College of Veterinary Medicine, University of Minnesota, St. Paul, MN 55108

Christopher Feist – feist020@umn.edu
Christopher Milliren – milli079@umn.edu
St. Anthony Falls Laboratory,
University of Minnesota,
Minneapolis, MN 55414

Edward J. Walsh – ewalsh@umn.edu
VA Loma Linda Healthcare System,
Loma Linda, CA 92357
Center for Applied and Translational Sensory Science,
University of Minnesota,
Minneapolis, MN 55455

Popular version of 1pABb6 – A study of the vocal behavior of adult bald eagles during breeding and chick-rearing
Presented at the 181st ASA Meeting in Seattle, Washington
Click here to read the abstract

One of the many challenges associated with efforts to characterize the acoustic properties of free-ranging bald eagle (Haliaeetus leucocephalus) vocalizations in a behavioral context is the relative inaccessibility of individual, interacting signalers. Here, we take advantage of the opportunity to eavesdrop on vocal exchanges between a breeding pair inhabiting a nest furnished with a webcam and microphone located in Decorah, Iowa and managed by the Raptor Resource Project (www.raptorresource.org).

In a previous study centered on captive bald eagles at the University of Minnesota Raptor Center, five call categories, including so-called grunts, screams, squeals, chirps and cackles, were identified. The primary goal of this study was to extend the investigation into the field to begin efforts to characterize and compare the acoustic properties of calls produced in captivity and in the wild.

Predictably, many of the acoustic features of calls produced in captivity and in the wild are generously shared. However, preliminary findings suggest that at least a subset of calls exchanged by breeding pairs may take on a hybrid character, exhibiting blended variations of the chirps, squeals and screams characterized previously in captive birds. Calls analyzed here were taken from a variety of settings that include mating, exchanges associated with feeding at the nest, vocal reaction to intruders near the nest, and short distance call exchanges that appear to function as hailing signals.

The source of raw materials used to relate the behavior of the interacting pair to their vocal exchanges can be appreciated by observing the following audiovisual recording examples.

VIDEO 1
In this video, the female of the pair, an eagle known affectionately as Mom, is not so patiently awaiting the arrival of her partner, known by the less endearing name DM2. As DM2 arrives at the nest with a meal, Mom produces a call sounding a lot like the call of a sea gull; a call with the characteristics of a lower frequency version of the scream observed in captive eagles.

VIDEO 2
Here, Mom appears to be calling out to DM2 for a break from nesting. DM2 arrived shortly after the footage shown here and Mom takes off for higher ground. The call appears to be a commonly produced, seemingly multipurpose utterance closely resembling a spectrally complex version of a call observed in captive eagles known as the chirp.

VIDEO 3
In this sequence, Mom appears to summon DM2 in response to what appears to be an intruder, possibly another bald eagle, in the airspace surrounding their nest. Again, a complex variation of the chirp observed in captive eagles appears to serve as a territorial marker.

The take-home message of preliminary findings reported here is that the acoustic structure of at least a subset of calls produced by free-ranging bald eagles appears to be more nuanced and complex than those representing their captive counterparts. Elements typically representative of three primary call types in captive birds, namely chirps, screams and squeals, intermix in calls produced by free-ranging eagles, creating a vocal repertoire with subtle, but potentially meaningful structural variation. If differences reported here remain stable across a larger sample size, these findings will serve to underline the relative importance of our work in the field.

1pAB6 – Oscillatory whistles – the ups and downs of identifying species in passive acoustic recordings

Julie N. Oswald – jno@st-andrews.ac.uk
Sam F. Walmsley – sjfw@st-andrews.ac.uk
Scottish Oceans Institute
School of Biology
University of St Andrews, UK

Caroline Casey – cbcasey@ucsc.edu
Selene Fregosi – selene.fregosi@gmail.com
Brandon Southall – brandon.southall@sea-inc.net
SEA Inc.,
9099 Soquel Drive,
Aptos, CA 95003

Vincent M. Janik – vj@st-andrews.ac.uk
Scottish Oceans Institute
School of Biology
University of St Andrews, UK

Popular version of paper 1pAB6 Oscillatory whistles—The ups and downs of identifying species in passive acoustic recordings
Presented Tuesday afternoon, June 8, 2021
180th ASA Meeting, Acoustics in Focus

Many dolphin species communicate using whistles. Because whistles are produced so frequently and travel well under water, they are the focus of a wide range of passive acoustic studies. A challenge inherent to this type of work is that many acoustic recordings do not have associated visual observations and so species in the recordings must be identified based on the sounds that they make.

Acoustic species identification can be challenging for several reasons. First, the frequency contours of dolphin whistles are variable, and each species produces many different whistle types. Also, whistles often exhibit significant overlap in their characteristics between species. Traditionally, acoustic species classifiers use variables measured from all whistles, regardless of what type they are. An assumption of this approach is that there are underlying features in every whistle that provide information about species identity. In human terms, we can tell a human scream or grunt from those of a chimpanzee because they sound different. But is this the case for dolphin whistles? Can a dolphin tell whether a whistle it hears is produced by another species? If so, is species information carried in all whistles?

To investigate these questions, we analyzed whistles produced by short- and long-beaked common dolphins in the Southern California Bight. Our previous work has shown that the whistles of these closely related species overlap significantly in time and frequency characteristics measured from all whistles, so we hypothesized that species information may be carried in the shape of specific whistle contours rather than by general characteristics of all whistles. We used artificial neural networks to organize whistles into categories, or whistle types. Most of the resulting whistle types were produced by both species (we called these shared whistle types), but each species also had distinctive whistle types that only they produced (we called these species-specific whistle types). Almost half of the species-specific whistles produced by short-beaked common dolphins had oscillations in their contours, while oscillations were very rare for both long-beaked common dolphins and shared whistle types. This clear difference between species in the use of one specific whistle shape suggests that whistle type is important for species identification.

We further tested the role of species-specific whistle types in acoustic species identification by creating three different classifiers for the two species – one using all whistles, one using only whistles from shared whistle types and one using only whistles from species-specific whistle types. The classifier that used whistles from species-specific whistle types performed significantly better than the other two classifiers, demonstrating that species-specific whistle types collectively carry more species information than other whistle types, and the assumption that all whistles carry species information is not correct.

The results of this study show that we should re-evaluate our approach to acoustic species identification. Instead of measuring variables from whistles regardless of type, we should focus on identifying species-specific whistle types and creating classifiers based on those whistles alone. This new focus on species-specific whistle types would pave the way for more accurate tools for identifying species in passive acoustic recordings.