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Record W7133279417

Seasonal occurrence and spatial distribution of four species of baleen whales vulnerable to ship strikes in the Saguenay–St. Lawrence Marine Park (Quebec, Canada)

2022· other· en· W7133279417 on OpenAlexaboutno aff
C. C. A. Martins, S. Turgeon, R. Michaud, N. Ménard

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBaleenWhaleBalaenopteraHabitatAerial surveyMarine mammalSpatial distributionWhaling
DOInot available

Abstract

fetched live from OpenAlex

Information on seasonal occurrence and fine scale spatial distribution of baleen whales is essential to design effective conservation measures. Given the intensity of navigation activities which overlap with whale habitat, the Saguenay–St. Lawrence Marine Park area is considered a high risk area for vessel collision with cetaceans. Management measures to reduce the risk of collision and minimize disturbance were included in the Marine Activities in the Saguenay–St. Lawrence Marine Park Regulations which regulate the activities of commercial and recreational boats in the park. Additionally, voluntary protection measures in and around the marine park were implemented in 2013 in collaboration with the shipping industry with the aim to minimize the risk of ship strikes with baleen whales and the impact of noise for the St. Lawrence Estuary beluga whales. Datasets from different monitoring programmes were analyzed in order to characterize baleen whale occurrence and spatial distribution within the marine park and its surrounding waters. The modelling approach, applied to both line-transect and point-sampling databases, allowed us to identify areas of high predicted relative density of four baleen whale species: minke (Balaenoptera acutorostrata), fin (Balaenoptera physalus), blue (Balaenoptera musculus) and humpback whales (Megaptera novaeangliae). The use of spatial and fixed environmental variables allowed us to map the whale density over the space providing valuable information on each species distribution within the study area. Overall, the potential core habitat of minke, fin and humpback whales was located within the 100 and 200 m isobaths, which includes the head of the Laurentian Channel, and its northern and southern submarine slopes. Blue whales’ predicted core habitat was in the area downstream of the 200 m isobath in the center of the Laurentian Channel. Using the combined datasets, the whale presence/absence analysis indicates that these four species use the area at least from early May to late October, with a main period of occurrence from early June to late September. Point sampling modelling results indicate that the occurrence of minke, humpback, and blue whales peaked from late July to early August, while fin whale relative abundance increased until the end of September. Relative abundance has fluctuated over the years for these species, and further analyses are required in order to understand the underlying mechanisms guiding the dynamics of this ecosystem. These aggregated results provide valuable information for science-based cetacean habitat conservation. Furthermore, they provide support to evaluate the needs of adapting and developing new measures to reduce the risk and severity of whale collision with all boat categories within the Saguenay–St. Lawrence Marine Park and its surrounding waters.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.225
Teacher spread0.212 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du CanadaFrench-language works237,207