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Record W7011507171

Measuring the Factors Influencing Narwhal (Monodon monoceros) Presence in Eclipse Sound, Nunavut with Passive Acoustic Monitoring

2023· other· en· W7011507171 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueeScholarship (California Digital Library) · 2023
Typeother
Languageen
FieldComputer Science
TopicDiverse Interdisciplinary Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArcticHabitatSound (geography)Marine conservationBaseline (sea)Marine habitatsWildlifeEctothermResource (disambiguation)
DOInot available

Abstract

fetched live from OpenAlex

Marine animal behavioral responses to anthropogenic noise present concerns for resource managers in regions such as the Canadian Arctic, where communities also rely on marine wildlife for subsistence hunting. In these areas, the potential for displacement of animals due to noise disturbance has become an important factor in management and decision-making processes. Many factors play a role in the movements and behavior of marine animals, including the influence of environmental variables like light and temperature. To determine the impacts of an added anthropogenic factor, such as underwater noise from shipping, there is a need to improve understanding of natural behavior, relationships with habitat, and responses to stressors to inform conservation and resource management. Narwhals, (Monodon monoceros) may be more sensitive to disturbances than other cetacean species due to their strong site fidelity and close association with the sea ice. Understanding their relationships with habitat and responses to added stressors is necessary for effective management and conservation efforts. Sea ice conditions and the darkness of winter make it challenging to observe these species using visual approaches. Long-term Passive Acoustic Monitoring (PAM) offers an effective means to study narwhal behaviors and their responses to environmental changes locally. In this study, I utilized PAM to establish a baseline of narwhal behavior in the Eclipse Sound region of the Canadian Arctic between 2016-2021. My research was conducted in three phases: first, quantifying the seasonal acoustic presence of narwhals; second, analyzing ship traffic patterns; and third, investigating the preliminary relationships between narwhal acoustic presence and vessel traffic. By focusing on narwhal echolocation, I examined patterns of daily presence in relation to key environmental factors such as sea ice concentration, calendar year, and time of year. Narwhal echolocation clicks were detected in all years, mainly during transitional periods of sea ice melt and formation. The calendar year, day of year, and daily sea ice cover were significant factors in predicting narwhal presence. Shipping traffic patterns indicate minimal overlap between narwhal and ships in late spring and early summer, when animals are present at the floe edge in the area. Instances of ships in proximity to the recording location when narwhals were present were most common in late summer and early fall, just before and during sea ice formation. Preliminary investigation of narwhal echolocation presence with ships within a distance of 40 km suggests that acoustic detections of narwhal decrease substantially as ships approach. The study highlights the strongly seasonal migratory behavior of narwhals as they enter and exit an important summering area and sets a foundation for future studies on the impacts of anthropogenic noise on marine mammals in the Arctic.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0040.006
Open science0.0040.004
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.252
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it