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Dive into the research topics where Kaitlin E. Frasier is active.

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Featured researches published by Kaitlin E. Frasier.


Journal of the Acoustical Society of America | 2013

Tracking dolphin whistles using an autonomous acoustic recorder array

Sean M. Wiggins; Kaitlin E. Frasier; E. Elizabeth Henderson; John A. Hildebrand

Dolphins are known to produce nearly omnidirectional whistles that can propagate several kilometers, allowing these sounds to be localized and tracked using acoustic arrays. During the fall of 2007, a km-scale array of four autonomous acoustic recorders was deployed offshore of southern California in a known dolphin habitat at ~800 m depth. Concurrently with the one-month recording, a fixed-point marine mammal visual survey was conducted from a moored research platform in the center of the array, providing daytime species and behavior visual confirmation. The recordings showed three main types of dolphin acoustic activity during distinct times: primarily whistling during daytime, whistling and clicking during early night, and primarily clicking during late night. Tracks from periods of daytime whistling typically were tightly grouped and traveled at a moderate rate. In one example with visual observations, traveling common dolphins (Delphinus sp.) were tracked for about 10 km with an average speed of ~2.5 m s(-1) (9 km h(-1)). Early night recordings had whistle localizations with wider spatial distribution and slower travel speed than daytime recordings, presumably associated with foraging behavior. Localization and tracking of dolphins over long periods has the potential to provide insight into their ecology, behavior, and potential response to stimuli.


Scientific Reports | 2015

Passive acoustic monitoring of beaked whale densities in the Gulf of Mexico.

John A. Hildebrand; Simone Baumann-Pickering; Kaitlin E. Frasier; Jennifer S. Trickey; Karlina Merkens; Sean M. Wiggins; Mark A. McDonald; Lance P. Garrison; Danielle Harris; Tiago A. Marques; Len Thomas

Beaked whales are deep diving elusive animals, difficult to census with conventional visual surveys. Methods are presented for the density estimation of beaked whales, using passive acoustic monitoring data collected at sites in the Gulf of Mexico (GOM) from the period during and following the Deepwater Horizon oil spill (2010–2013). Beaked whale species detected include: Gervais’ (Mesoplodon europaeus), Cuvier’s (Ziphius cavirostris), Blainville’s (Mesoplodon densirostris) and an unknown species of Mesoplodon sp. (designated as Beaked Whale Gulf — BWG). For Gervais’ and Cuvier’s beaked whales, we estimated weekly animal density using two methods, one based on the number of echolocation clicks, and another based on the detection of animal groups during 5 min time-bins. Density estimates derived from these two methods were in good general agreement. At two sites in the western GOM, Gervais’ beaked whales were present throughout the monitoring period, but Cuvier’s beaked whales were present only seasonally, with periods of low density during the summer and higher density in the winter. At an eastern GOM site, both Gervais’ and Cuvier’s beaked whales had a high density throughout the monitoring period.


Journal of the Acoustical Society of America | 2016

Delphinid echolocation click detection probability on near-seafloor sensors

Kaitlin E. Frasier; Sean M. Wiggins; Danielle Harris; Tiago A. Marques; Len Thomas; John A. Hildebrand

The probability of detecting echolocating delphinids on a near-seafloor sensor was estimated using two Monte Carlo simulation methods. One method estimated the probability of detecting a single click (cue counting); the other estimated the probability of detecting a group of delphinids (group counting). Echolocation click beam pattern and source level assumptions strongly influenced detectability predictions by the cue counting model. Group detectability was also influenced by assumptions about group behaviors. Model results were compared to in situ recordings of encounters with Rissos dolphin (Grampus griseus) and presumed pantropical spotted dolphin (Stenella attenuata) from a near-seafloor four-channel tracking sensor deployed in the Gulf of Mexico (25.537°N 84.632°W, depth 1220 m). Horizontal detection range, received level and estimated source level distributions from localized encounters were compared with the model predictions. Agreement between in situ results and model predictions suggests that simulations can be used to estimate detection probabilities when direct distance estimation is not available.


Journal of the Acoustical Society of America | 2011

Acoustic monitoring of dolphin populations in the Gulf of Mexico

Kaitlin E. Frasier; Melissa S. Soldevilla; Mark A. McDonald; Karlina Merkens; Sean M. Wiggins; John A. Hildebrand; Marie A. Roch

High-Frequency Acoustic Recording Packages (HARPs) continuously monitored delphinids at five sites in the northeastern Gulf of Mexico during and after the Deepwater Horizon oil spill. Surface oil reached two sites, while the three unexposed sites functioned as “controls.” Presence of dolphin vocalizations (clicks, whistles, and burst pulses) was documented at exposed and unexposed sites over the course of a year following the oil spill. These sites are within the known habitat ranges of 11 species of delphinids. Broadband towed array recordings with visual identifications were used to determine species-specific vocalization characteristics, which were then compared with autonomously recorded vocalizations. Two species have distinctive vocalizations that match between towed array and autonomous recordings. At least four more unique vocalization patterns were detected autonomously, which may be species-specific. Both clicks and whistles were explored for identifying features. The data provide a comparative ...


PLOS Computational Biology | 2017

Automated classification of dolphin echolocation click types from the Gulf of Mexico

Kaitlin E. Frasier; Marie A. Roch; Melissa S. Soldevilla; Sean M. Wiggins; Lance P. Garrison; John A. Hildebrand

Delphinids produce large numbers of short duration, broadband echolocation clicks which may be useful for species classification in passive acoustic monitoring efforts. A challenge in echolocation click classification is to overcome the many sources of variability to recognize underlying patterns across many detections. An automated unsupervised network-based classification method was developed to simulate the approach a human analyst uses when categorizing click types: Clusters of similar clicks were identified by incorporating multiple click characteristics (spectral shape and inter-click interval distributions) to distinguish within-type from between-type variation, and identify distinct, persistent click types. Once click types were established, an algorithm for classifying novel detections using existing clusters was tested. The automated classification method was applied to a dataset of 52 million clicks detected across five monitoring sites over two years in the Gulf of Mexico (GOM). Seven distinct click types were identified, one of which is known to be associated with an acoustically identifiable delphinid (Risso’s dolphin) and six of which are not yet identified. All types occurred at multiple monitoring locations, but the relative occurrence of types varied, particularly between continental shelf and slope locations. Automatically-identified click types from autonomous seafloor recorders without verifiable species identification were compared with clicks detected on sea-surface towed hydrophone arrays in the presence of visually identified delphinid species. These comparisons suggest potential species identities for the animals producing some echolocation click types. The network-based classification method presented here is effective for rapid, unsupervised delphinid click classification across large datasets in which the click types may not be known a priori.


Journal of the Acoustical Society of America | 2013

Deep-diving cetaceans and the Deepwater Horizon oil spill

Karlina Merkens; Mark A. McDonald; Simone Baumann-Pickering; Kaitlin E. Frasier; Sean M. Wiggins; Hildebrand John

The Gulf of Mexico is home to at least six species of deep-diving cetaceans, including beaked whales, sperm whales, and dwarf and pygmy sperm whales. These species are all found in the region that was impacted by the Deepwater Horizon oil spill. Using High-frequency Acoustic Recording Packages (HARPs), we monitored for their presence at three deep-water sites. From over two years of wideband (10 Hz—100 kHz) recordings, the detections of deep-diving cetacean sounds were related to environmental and anthropogenic factors using Generalized Additive Models to identify relevant features. The modeling showed that the significance of habitat parameters varies by species and site, although lunar illumination and sea surface height anomaly were significant for most species at all sites. The relationships between the acoustic presence of the cetaceans and their environment help provide an understanding of the ecology of these species as well as the potential impact of the oil spill on their habitat. This material i...


Journal of the Acoustical Society of America | 2011

Passive acoustic monitoring of sperm whales during and after the Deepwater Horizon oil spill

Karlina Merkens; Mark A. McDonald; Simone Baumann-Pickering; Kaitlin E. Frasier; Sean M. Wiggins; John A. Hildebrand

The Deepwater Horizon oil spill during the summer of 2010 impacted a region of sperm whale habitat along the continental slope and deep waters of the Gulf of Mexico. Passive acoustic monitoring was used to study the potential impact of the oil spill on sperm whales by recording trends in their characteristic sounds, such as echolocation clicks and foraging creaks. High-frequency Acoustic Recording Packages (HARPs) were deployed shortly after the oil spill began; one was located close to the Deepwater Horizon well, above which the sea surface was contaminated by oil throughout the summer of 2010, and another was deployed in a region of sperm whale habitat that remained unexposed to surface oil to function as a “control” site. At both sites, sperm whales were detected on a majority of days during the nearly year-long recording period. Sperm whale presence was evaluated from detected clicks and creaks, and changes in these sounds over time and between sites were compared.


Journal of the Acoustical Society of America | 2017

Echolocation for restoration: Odontocete monitoring in the Gulf of Mexico

Kaitlin E. Frasier; Rebecca Cohen; Jennifer S. Trickey; Sean M. Wiggins; Alba Solsona Berga; Melissa S. Soldevilla; Lance P. Garrison; Simone Baumann-Pickering; John A. Hildebrand

In the late 1990s, George E. Ioup began studying echolocation clicks as a means of understanding marine mammals in the Gulf of Mexico (GOM). He also led one of the few research programs focused on pelagic species in this chronically impacted region in the years preceding the Deepwater Horizon oil spill. Today, passive acoustic monitoring (PAM) is one of the primary tools used to study the nearly 20 pelagic odontocete species found in the GOM, including sperm whales, beaked whales, dolphins, and Kogia species. Since 2010, PAM devices have been deployed nearly continuously in the region, driven by an urgent need to understand the long-term effects of both acute and chronic anthropogenic impacts on GOM marine mammal populations. Recent advances fueled by robust, reliable PAM technologies include the development of multi-year timeseries documenting changes in species densities across continental shelf and slope habitats, differentiating GOM odontocete species based on echolocation click properties, and levera...


Journal of the Acoustical Society of America | 2009

Acoustic tracking of whistling dolphins offshore of Southern California.

Kaitlin E. Frasier; Sean M. Wiggins; John A. Hildebrand

Dolphin whistles were recorded near San Clemente Island, offshore of Southern California, by four autonomous high‐frequency acoustic recording packages (HARPs) deployed in a sea‐floor array (dimensions: 2 km × 2 km) centered around the R/P FLIP. This array layout allowed localization of the calling animals using time difference of arrivals (TDOAs) from the same calls simultaneously recorded on the four instruments. Whistle TDOAs were calculated using cross‐correlations of spectrograms. A matched‐field least‐squares minimization procedure used whistle TDOAs to localize the animals. Successive localizations were combined to track movement over time, revealing local movements of presumably common dolphins (Delphinus spp.), typically during elevated nocturnal activity. These tracks, coupled with the animals’ acoustic activity, provide insight into their behavior and could potentially be used to study their response to various stimuli including anthropogenic sources such as sonar. [This research is supported b...


Deep-sea Research Part I-oceanographic Research Papers | 2010

Time-series analysis of six whale-fall communities in Monterey Canyon, California, USA

Lonny Lundsten; Kyra Schlining; Kaitlin E. Frasier; Shannon B. Johnson; Linda A. Kuhnz; Julio B.J. Harvey; Gillian E. Clague; Robert C. Vrijenhoek

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Karlina Merkens

National Oceanic and Atmospheric Administration

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Lance P. Garrison

National Oceanic and Atmospheric Administration

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Marie A. Roch

San Diego State University

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E. Elizabeth Henderson

Scripps Institution of Oceanography

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Jennifer S. Trickey

Scripps Institution of Oceanography

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