Stacy L. DeRuiter’s research while affiliated with Calvin University and other places

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Publications (55)


Map of the study area with locations of observed foraging dives. In each panel, the SOAR range is outlined in black, the regions used in comparison are color-coded, and foraging dives are plotted with a unique symbol for each tagged whale. The regions established for this analysis include Region A, the San Nicolas Basin; Region B, an area encompassing Tanner Canyon, East Cortez Bank, and the San Clemente Basin; and Region C, additional areas in the Southern California Range Complex located outside of Region A or B. The top panel displays the entire study area along with all dives from whale ID 144029, which traveled south into Mexican waters. The bottom panel provides a closer view of the dives that occurred within Region A and Region B.
A scatter plot of dive depth (the maximum depth reached during the dive) versus estimated local bathymetric depth. Point shapes/colors distinguish between tagged whales, and the black line displays a 1:1 relationship.
Stacked histograms (top) and violin plots (bottom) of observed pulse and buzz depths for all 99 analyzed foraging dives by the six whales tagged in this study. Histogram bin segments are colored by whale ID. Violin plots for each whale have the same maximum width regardless of the number of echolocations/buzzes recorded, and median values are represented by the black horizontal line for each whale. Within each violin plot are gray points for each individual echolocation/buzz to visualize sample sizes between whales.
Box and whisker plot of the observed proportion of echolocation pulses and buzzes during three dive phases (descent, bottom, and ascent) across the study regions (Region A, Region B, and Region C). Box and whisker plot is overlayed with jittered points of observed values, and point colors and shapes distinguish between regions and tagged whales, respectively.
Scatter plots of echolocation duration by foraging dive depth. Colors indicate time of day, and shapes indicate whale ID. Data are displayed by oceanographic region.

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Insights into foraging behavior from multi-day sound recording tags on goose-beaked whales (Ziphius cavirostris) in the Southern California Bight
  • Article
  • Full-text available

September 2024

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60 Reads

Shannon N. Coates

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Erin A. Falcone

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Gregory S. Schorr

Goose-beaked whales (Ziphius cavirostris) are deep-diving cetaceans known for their elusive nature and specialized foraging behavior. In 2019 and 2020, six telemetry tags were deployed on these whales in Southern California, resulting in 395 h of acoustic and diving data. Foraging dives were manually identified by the presence of echolocation pulses and buzzes, and generalized additive models assessed factors influencing foraging behavior. The median bathymetric depth at foraging sites was 1,419 m (IQR = 359), and the maximum dive depth was highly correlated with bathymetry depth. Individuals started echolocating on descent at a median depth of 410 m (IQR = 74); pulses were not observed shallower than 292 m. Echolocation ceased during the bottom phase for 81.6% of dives, at a median depth of 1,265 m (IQR = 472); pulses were not observed shallower than 587 m on ascent. The median depth of buzzes was 1,215 m (IQR = 479) with 63% occurring during the bottom phase. Deeper dives correlated with longer durations of diving and echolocation, greater echolocation end depths, and wider bottom phase echolocation depth inter-quartile range. The median difference between dive depth and bottom phase median echolocation depth was 98.3 m (IQR = 48.5), suggesting whales in this region forage in a narrow band close to the seafloor. In the San Nicolas Basin, individuals exhibited longer echolocation durations, produced more pulses, and started and ended echolocating at greater depths compared to adjacent regions. These records validate and expand upon previous studies, providing insights into factors influencing foraging behavior in an area with high anthropogenic disturbance.

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The active space of sperm whale codas: inter-click information for intra-unit communication

January 2024

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120 Reads

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8 Citations

Journal of Experimental Biology

Sperm whales (Physeter macrocephalus) are social mega-predators who form stable matrilineal units that often associate within a larger vocal clan. Clan membership is defined by sharing a repertoire of coda types consisting of specific temporal spacings of multi-pulsed clicks. It has been hypothesized that codas communicate membership across socially segregated sympatric clans, while others propose that codas are primarily used for behavioral coordination and social cohesion within a closely spaced social unit. Here, we test these hypotheses by combining measures of ambient noise levels and coda click source levels with models of sound propagation to estimate the active space of coda communication. Coda clicks were localized off the island of Dominica with a four- or five-element 80-meter vertical hydrophone array, allowing us to calculate the median RMS source levels of 1598 clicks from 444 codas to be 161 dB re 1 µPa (IQR 153-167), placing codas among the most powerful communication sounds in toothed whales. However, together with measured ambient noise levels, these source levels lead to a median active space of coda communication of about 4 km, reflecting the maximum footprint of a single foraging sperm whale unit. We conclude that while sperm whale codas may contain information about clan affiliation, their moderate active space shows that codas are not used for long range acoustic communication between units and clans, but likely serve to mediate social cohesion and behavioral transitions in intra-unit communication.


Behavioural responses of fin whales to military mid-frequency active sonar

December 2023

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168 Reads

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3 Citations

The effect of active sonars on marine mammal behaviour is a topic of considerable interest and scientific investigation. Some whales, including the largest species (blue whales, Balaenoptera musculus), can be impacted by mid-frequency (1–10 kHz) military sonars. Here we apply complementary experimental methods to provide the first experimentally controlled measurements of behavioural responses to military sonar and similar stimuli for a related endangered species, fin whales (Balaenoptera physalus). Analytical methods include: (i) principal component analysis paired with generalized additive mixed models; (ii) hidden Markov models; and (iii) structured expert elicitation using response severity metrics. These approaches provide complementary perspectives on the nature of potential changes within and across individuals. Behavioural changes were detected in five of 15 whales during controlled exposure experiments using mid-frequency active sonar or pseudorandom noise of similar frequency, duration and source and received level. No changes were detected during six control (no noise) sequences. Overall responses were more limited in occurrence, severity and duration than in blue whales and were less dependent upon contextual aspects of exposure and more contingent upon exposure received level. Quantifying the factors influencing marine mammal responses to sonar is critical in assessing and mitigating future impacts.


Fig. 3 IECinduction of productive infection does not involve CD2.A Expression of CD58in IEC +/− and LEC −. IEC +, IEC − and LEC − were stained with anti-CD58 antibodies.Isotype control was included as a negative control. B CD2 blocking experimentin IEC-stimulated resting CD4 +T cells. Resting CD4 + Tcells were cultured alone or co-cultured with IEC +/−. One hour beforeco-culturing with IEC, CD2 blocking antibody was added at variousconcentrations (20 and 40µg/mL) to resting CD4 + T cells. Isotype controlantibody (at 40µg/mL) was also included as a negative control. All CD4 + T cellswere infected with an HIV reporter virus expressing GFP one day afterco-culture. Infection rates (%GFP + cells) were measured on day 6post-infection. Samples were taken in triplicate for each donor, and differentdonors are represented by different symbols (n = 3). P-values from post-hocpairwise comparisons of marginal means based on beta generalized linear models werenot significant between isotype controls and CD2 treatments.
Fig. 4 RestingCD4 + T cells were cultured alone or with human intestinal endothelial cells(IEC). + and − indicate treatment with or without IFN-γ respectively in IEC.All CD4 + Tcells were infected with an HIV reporter virus expressing GFP 1 day afterco-culture. On day 8 post-infection, GFP negative cells were sorted andcultured with or without PMA/Ionomycin for 16hr. %GFP + cells were measured 2days after PMA/I activation. Raltegravir (at 3.3μM) was included in theculture media for both PMA/I treated and untreated CD4 + T cells.A GFP expression levels in PMA/I stimulated andunstimulated resting T cells co-cultured with IEC −. B GFP expression levelsin resting CD4 + T cellalone, IEC + and IEC − co-cultures with and without PMA/I stimulation. Sampleswere taken in quadruplicate or triplicate for each donor, and differentdonors are represented by different symbols (n = 3). C Latent infection in resting CD4 + T cell alone, IEC + and IEC − co-cultures. Same experiment as B. Latent infections were calculated by thedifference in GFP levels between PMA/I treated and untreated samples. P-valuesare from post-hoc pairwise comparisons of marginal means based on betageneralized linear models (*p<0.05).
Fig. 5 IEC stimulation increases infection rates in activatedCD4 + T cells. PBMC were activated with PHA (1mg/mL) and IL-2 (10ng/mL) for 2 days beforeisolating CD4 + T cells by bead depletion. On day 6 post-activation, theactivated CD4 + T cells were eithercultured alone, or co-cultured with IEC −, or IEC +. All T cells were infectedwith an HIV reporter virus expressing GFP one day after co-culture. A Productive infection. %GFP + cells were measured 3 days post-infection. Sampleswere taken in triplicate for each donor, and different donors are representedby different symbols (n = 6). P-values are from post-hoc pairwise comparisons ofmarginal means based on beta generalized linear models (****p<0.0001). B Latent infection. Five days after CD4 + T cells were infected, GFP − cells weresorted and cultured with or without PMA/I stimulation. GFP expression wasmeasured 2 days later. Raltegravir (at 3.3μM) was included in the culture mediafor both PMA/I treated and untreated CD4 + T cells. Samples were taken in 3-5replicates for each donor, and different donors are represented by differentsymbols (n = 3). P-values are from post-hoc pairwise comparisons of marginalmeans based on beta generalized linear models (***p<0.001). C Same experiments as (B),GFP expression levels in PMA/I stimulated and unstimulated T cells co-culturedwith IEC −.
Intestinal endothelial cells increase HIV infection and latency in resting and activated CD4 + T cells, particularly affecting CCR6 + CD4 + T cells

May 2023

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36 Reads

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3 Citations

Retrovirology

Background With suppressive antiretroviral therapy, HIV infection is well-managed in most patients. However, eradication and cure are still beyond reach due to latent viral reservoirs in CD4 + T cells, particularly in lymphoid tissue environments including the gut associated lymphatic tissues. In HIV patients, there is extensive depletion of T helper cells, particularly T helper 17 cells from the intestinal mucosal area, and the gut is one of the largest viral reservoir sites. Endothelial cells line lymphatic and blood vessels and were found to promote HIV infection and latency in previous studies. In this study, we examined endothelial cells specific to the gut mucosal area—intestinal endothelial cells—for their impact on HIV infection and latency in T helper cells. Results We found that intestinal endothelial cells dramatically increased productive and latent HIV infection in resting CD4 + T helper cells. In activated CD4 + T cells, endothelial cells enabled the formation of latent infection in addition to the increase of productive infection. Endothelial-cell-mediated HIV infection was more prominent in memory T cells than naïve T cells, and it involved the cytokine IL-6 but did not involve the co-stimulatory molecule CD2. The CCR6 + T helper 17 subpopulation was particularly susceptible to such endothelial-cell-promoted infection. Conclusion Endothelial cells, which are widely present in lymphoid tissues including the intestinal mucosal area and interact regularly with T cells physiologically, significantly increase HIV infection and latent reservoir formation in CD4 + T cells, particularly in CCR6 + T helper 17 cells. Our study highlighted the importance of endothelial cells and the lymphoid tissue environment in HIV pathology and persistence.


Reduction in diarrhoea rates after household water filter distribution in small and remote communities in Liberia

May 2023

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26 Reads

Cogent Public Health

Diarrhoea is the second-leading cause of death in Liberia, a sub-Saharan African country of 4.8 million people, with a majority living in rural villages. Diarrhoea has often been linked with poor water quality and malnutrition. Three organisations partnered to distribute point-of-use (POU) water filters to every household in Liberia without other access to safe water, documenting the distribution of filters to 101,706 households. Each such household was surveyed at a baseline, two weeks, and eight weeks. In addition to household characteristics, the prevalence of diarrhoea was reported at each survey. Our goal was to determine the extent of the impact that POU filter use had on diarrhoea prevalence by age group, controlling for effects of water source, location, and household size. Overall, there was a 94.2% decrease in diarrhoea cases from baseline to the 8-week follow-up. We discuss the success of the intervention in decreasing diarrhoea prevalence. The filter distribution focused on reaching remote villages, and providing access to clean water where there was none before. This study confirms that community-wide access to clean drinking water can reduce diarrhoea prevalence.


Loggerhead turtles dive in response to airgun sound exposure

April 2023

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86 Reads

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18 Citations

Endangered Species Research

Seismic airgun arrays are among the most powerful sound sources used at sea, and they have the potential to disrupt the behavior of marine life. Little information is available on marine turtle responses to airgun sounds, and few regulations mandate specific actions to protect turtles from potential impacts of airgun exploration. As part of the French-Algerian project SPIRAL (Sismique Profonde et Investigation Régionale du Nord de l’Algérie) in September and October 2009, visual observations of 164 loggerhead turtles Caretta caretta were conducted during a seismic survey in the Mediterranean Sea off Algeria. The turtles were part of a large aggregation, basking at the surface in calm seas. All sightings occurred during airgun operations, in which shots were fired every 19.4 s (array source level 252 dB re 1 μPa [peak]). Recordings from 3 hydrophones allowed estimation of near-surface airgun sound levels. Of 86 turtles visually tracked until their passage >100 m behind the array, 49 (57%) dove at or before their closest point of approach to the airguns. At least 6 dove immediately following an airgun shot, often showing a startle response. Binomial regression indicated that turtle dive probability decreased with increasing distance from the airgun array. The observed diving behavior may be interpreted as an avoidance response to airguns.


Figure 1 | The Sawyer PointOne bucket filter system distributed to households in Liberia. Image used with permission from Sawyer (2022a).
Figure 2 | Heat map of villages surveyed in Liberia.
Evaluating filter functionality and user competence after a hollow fiber membrane filter intervention in Liberia

November 2022

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159 Reads

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1 Citation

Journal of Water Sanitation and Hygiene for Development

In Liberia, access to safe water is not universal, and waterborne diseases like diarrhea run rampant. As part of a larger border-to-border clean water project in Liberia, hollow membrane fiber filters were distributed to households in remote and/or small villages across Liberia. While filter efficacy has been demonstrated in the laboratory, studies of filter efficacy in real-world settings yield more mixed results. Intervention efficacy in Liberia was evaluated by assessing (1) user ability to correctly filter and backwash and (2) filter functioning at follow-up visits approximately 2 and 8 weeks post-intervention. Ultimately, the results supported the efficacy of this intervention. At arrival of both follow-ups, over 95% of filters were functioning properly and the majority of issues were resolved during visits. This supported the short-term durability of the filters and the importance of follow-up visits for repairs. Furthermore, the vast majority of households were able to correctly demonstrate filtering and backwashing: 88.47% at the first follow-up and 91.79% at the second. This slight increase may indicate the value of follow-up visits as educational tools. The widescale distribution of point-of-use filters as a mechanism for clean water should include on-going education and affordable filter repair and replacement opportunities. HIGHLIGHTS Describes a border-to-border clean water filtration intervention in Liberia.; Results demonstrate that point-of-use filters are easy to use.; Results demonstrate high rates of filter durability in the short-term.;


Kernel density estimation of conditional distributions to detect responses in satellite tag data

September 2022

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67 Reads

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4 Citations

Animal Biotelemetry

Background As levels of anthropogenic noise in the marine environment rise, it is crucial to quantify potential associated effects on marine mammals. Yet measuring responses is challenging because most species spend the majority of their time submerged. Consequently, much of their sub-surface behavior is difficult or impossible to observe and it can be difficult to determine if—during or following an exposure to sound—an observed dive differs from previously recorded dives. We propose a method for initial assessment of potential behavioral responses observed during controlled exposure experiments (CEEs), in which animals are intentionally exposed to anthropogenic sound sources. To identify possible behavioral responses in dive data collected from satellite-linked time–depth recorders, and to inform the selection and parameters for subsequent individual and population-level response analyses, we propose to use kernel density estimates of conditional distributions for quantitative comparison of pre- and post-exposure behavior. Results We apply the proposed method to nine Cuvier’s beaked whales (Ziphius cavirostris) exposed to a lower-amplitude simulation of Mid-Frequency Active Sonar within the context of a CEE. The exploratory procedure provides evidence that exposure to sound causes animals to change their diving behavior. Nearly all animals tended to dive deep immediately following exposure, potentially indicating avoidance behavior. Following the initial deep dive after exposure, the procedure provides evidence that animals either avoided deep dives entirely or initiated deep dives at unusual times relative to their pre-exposure, baseline behavior patterns. The procedure also provides some evidence that animals exposed as a group may tend to respond as a group. Conclusions The exploratory approach we propose can identify potential behavioral responses across a range of diving parameters observed during CEEs. The method is particularly useful for analyzing data collected from animals for which neither the baseline, unexposed patterns in dive behavior nor the potential types or duration of behavioral responses is well characterized in the literature. The method is able to be applied in settings where little a priori knowledge is known because the statistical analyses employ kernel density estimates of conditional distributions, which are flexible non-parametric techniques. The kernel density estimates allow researchers to initially assess potential behavioral responses without making strong, model-based assumptions about the data.


Beluga whale (Delphinapterus leucas) acoustic foraging behavior and applications for long term monitoring

November 2021

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213 Reads

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15 Citations

Cook Inlet, Alaska, is home to an endangered and declining population of 279 belugas (Delphinapterus leucas). Recovery efforts highlight a paucity of basic ecological knowledge, impeding the correct assessment of threats and the development of recovery actions. In particular, information on diet and foraging habitat is very limited for this population. Passive acoustic monitoring has proven to be an efficient approach to monitor beluga distribution and seasonal occurrence. Identifying acoustic foraging behavior could help address the current gap in information on diet and foraging habitat. To address this conservation challenge, eight belugas from a comparative, healthy population in Bristol Bay, Alaska, were instrumented with a multi-sensor tag (DTAG), a satellite tag, and a stomach temperature transmitter in August 2014 and May 2016. DTAG deployments provided 129.6 hours of data including foraging and social behavioral states. A total of 68 echolocation click trains ending in terminal buzzes were identified during successful prey chasing and capture, as well as during social interactions. Of these, 37 click trains were successfully processed to measure inter-click intervals (ICI) and ICI trend in their buzzing section. Terminal buzzes with short ICI (minimum ICI <8.98 ms) and consistently decreasing ICI trend (ICI increment range <1.49 ms) were exclusively associated with feeding behavior. This dual metric was applied to acoustic data from one acoustic mooring within the Cook Inlet beluga critical habitat as an example of the application of detecting feeding in long-term passive acoustic monitoring data. This approach allowed description of the relationship between beluga presence, feeding occurrence, and the timing of spawning runs by different species of anadromous fish. Results reflected a clear preference for the Susitna River delta during eulachon (Thaleichthys pacificus), Chinook (Oncorhynchus tshawytscha), pink (Oncorhynchus gorbuscha), and coho (Oncorhynchus kisutch) salmon spawning run periods, with increased feeding occurrence at the peak of the Chinook and pink salmon runs.


Citations (42)


... Jacobs et al. (2024) recently published a powerful analysis of apparent source levels from acoustically localised sperm whale codas, using it to estimate that the active space of these vocalisations is around 4 km. This is an important step forward in our understanding of how these vocalisations may function, and we congratulate the authors on the rigour of their analysis. ...

Reference:

Response to ‘The active space of sperm whale codas allows for communication within and between social units’
The active space of sperm whale codas: inter-click information for intra-unit communication
  • Citing Article
  • January 2024

Journal of Experimental Biology

... Baleen whales are thought to be sensitive primarily to sounds in the low-frequency range (10 to 500 Hz) and are therefore particularly vulnerable to auditory masking from low-frequency sources such as vessel noise (Clark et al., 2009;Southall et al., 2023a) or to behavioral disturbance from low-frequency active sonar or airgun noise (Tyack and Clark, 1998;Miller et al., 2000;Dunlop et al., 2020;Gailey et al., 2022) Baleen whales may also respond to sounds in the mid-frequency range (500 Hz to 25 kHz). Observed behavioral responses of baleen whales to simulated mid-frequency active sonar (MFAS), used by the Navy in military training and testing activities, included termination of deep dives, directed travel away from sound sources, cessation of feeding, and changes in body orientation or swim speed, and were influenced by behavioral state, environmental context, prior exposure to similar sound sources, and received noise levels (Goldbogen et al., 2013;Southall et al., 2019b;2023b;Pirotta et al., 2022). ...

Behavioural responses of fin whales to military mid-frequency active sonar

... Reviews can be found summarizing state-of-the-art research for marine mammals (e.g., Nowacek et al., 2015Nowacek et al., , 2007Southall et al., 2007;Weilgart, 2007), sea turtles ( Nelms et al., 2016), fishes ( Popper and Hastings, 2009;Slabbekoorn et al., 2010), invertebrates ( Moriyasu et al., 2004), and cephalopods ( André et al., 2011). Several research papers also describe important experimental results for understanding either physical damage or behavioral effects in cetaceans (e.g., Blackwell et al., 2015;Castellote et al., 2012;Cerchio et al., 2014;Dunlop et al., 2015;Miller et al., 2009;Nieukirk et al., 2012), plankton (e.g., McCauley et al., 2017), sea turtles (e.g., DeRuiter and Larbi Doukara, 2012), fish-auditory damage ( McCauley et al., 2003), fish-behavior (e.g., Hassel et al., 2004;Paxton et al., 2017;Slotte et al., 2004;Wardle et al., 2001 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). fish-behavior and catch rates ( Engås and Løkkeborg, 1996;Lokkeborg et al., 2012;Streever et al., 2016). ...

Loggerhead turtles dive in response to airgun sound exposure

Endangered Species Research

... For example, Schick et al. (2019) explored improved methods of estimating positional uncertainty in satellite tag data in order to improve received level estimates. Hewitt et al. (2022) developed methods to detect a behavioral response in satellite tag dive data using a kernel density analysis when comparing the data to a large aggregate of baseline data. Using this method, changes in dive behavior similar to those observed with DTAGS have been detected, including extended deep dives after an exposure and reduced follow-on deep dives, which is presumed to indicate an extended cessation of foraging (Hewitt et al. 2022). ...

Kernel density estimation of conditional distributions to detect responses in satellite tag data

Animal Biotelemetry

... Communicative call types produced by these whales are broadly categorized into whistles, pulsed calls (or "burst pulses"), and combined calls that contain both pulsed and tonal sounds (Blackwell et al., 2018). Vocalizations produced for sensory tasks (e.g., navigation and prey localization) include echolocation clicks and terminal buzzes that are found at the end of click sequences (Blackwell et al., 2018;Castellote et al., 2021;Chambault et al., 2023;Roy et al., 2010). Pulsed calls and buzzes are defined by their short duration and high-repetition rate signals. ...

Beluga whale (Delphinapterus leucas) acoustic foraging behavior and applications for long term monitoring

... Blue whales make an annual latitudinal migration to arrive in coincidence with the average seasonal timing of peak availability of their obligate krill prey, timing this "two worlds" migration based on their memory of long-term average conditions (Abrahms et al., 2019). Several studies suggest a link between the evolution of mysticetes' gigantism, migration, and the formation of highly productive, patchy, and seasonal marine ecosystems as the continents shifted in the Pleistocene (Goldbogen & Madsen, 2018, 2021Goldbogen et al., 2019). A leading theory is that gigantism resulted from the efficiency of filter feeding at extreme body size under these ecosystem conditions. ...

Why whales are big but not bigger: Physiological drivers and ecological limits in the age of ocean giants

Science

... The combination of satellite coverage, limited transmission bandwidths and the limited surfacing periods of deep-diving whales means that the data are considerably less rich than the sub-second sampling frequency of DTAGs. Despite these limitations, various studies have employed these types of instruments; see, for example Tyack et al., 5 Moretti et al., 27 Falcone et al., 28 Schick et al., 26 von Benda-Beckmann et al., 29 and Wensveen et al. 7 While Tyack et al. 5 and Moretti et al. 27 were able to use fixed hydrophones to evaluate modeled SPLs at known locations, most of these studies share a similar workflow: (1) satellite tags are attached to animals; (2) the data from the tag(s) are preprocessed and outliers removed; (3) a continuous-time correlated random walk model 30 is fit to the x,y data; (4) predictions of an animal's position during a CEE are co-located with output from sound propagation models; and (5) the sound pressure levels are summarized across the collection of n predicted locations. ...

Accounting for Positional Uncertainty When Modeling Received Levels for Tagged Cetaceans Exposed to Sonar
  • Citing Article
  • November 2019

Aquatic Mammals

... When implementing an automated monitoring system, it is easier to monitor the condition of dogs from the feeding ration, as well as to issue the right amount of food from the weight of the dog. The experimental sites will facilitate the ability to calculate and plan the optimal diet of animals [11,12]. ...

Automated peak detection method for behavioral event identification: Detecting Balaenoptera musculus and Grampus griseus feeding attempts

Animal Biotelemetry

... 1, 3,4 Much of the research with respect to naval sonar has focused on short-term responses like changes in diving behavior, foraging behavior, and flight response away from the source. [5][6][7] This research has often relied on short-term movement responses and the range of acoustic exposure conditions for animals moving in complex sound fields using acoustic recording tags. 8 In this paper, we focus on experimental settings designed to understand response following exposure to sound while using longer duration tags that do not record sound. ...

Northern bottlenose whales in a pristine environment respond strongly to close and distant navy sonar signals

... Los avistamientos de la campaña marítima incluyeron desde individuos solitarios hasta grupos de 25 ejemplares, con un tamaño medio de grupo de 10 individuos (IC95%=6, [8][9][10][11][12][13][14]5). En cambio, durante la campaña aérea la mayoría de los grupos observados estaban constituidos por más de 15 individuos (mínimo 1, máximo 150) con un tamaño de grupo medio de 18 individuos (IC95%=6, 7). ...

Diving Behavior and Fine-Scale Kinematics of Free-Ranging Risso's Dolphins Foraging in Shallow and Deep-Water Habitats