Summary of acoustic telemetry data in St. Anns Bank Marine Protected Area from 2015-2023
Bibliographic record
Abstract
St. Anns Bank, situated offshore of Cape Breton, Nova Scotia, was designated a Marine Protected Area (MPA) under the Oceans Act in 2017 to conserve and protect benthic, demersal, and pelagic habitats, in addition to the high biodiversity and productivity in the area. Monitoring programs have been ongoing for St. Anns Bank MPA (SAB MPA) both before and after its establishment. This report summarizes the acoustic telemetry data collected in SAB MPA from 2015 to 2023. To date the gates of receivers in the MPA (26 to 46 receivers per year) have detected 330 tagged animals and 13 species from 33 distinct research projects, including Canadian DFO and international projects. In addition, 174 separate animals and seven species have been detected that were tagged in the MPA by the SABMPA tagging program. The most frequently detected species tagged by other projects were Atlantic Salmon, Bluefin Tuna, Blue Shark, Atlantic Cod, and White Shark. Atlantic Cod were detected migrating seasonally to spend winter in the Gulf of St. Lawrence and much of the rest of the year in SABMPA. Receivers deployed near shallow banks (e.g., Scatarie Bank) had the highest residency for species that spent the majority of the year in SAB MPA (Atlantic Cod, Atlantic Halibut, Atlantic Striped Wolffish) and species generally only present during summer/fall months (e.g., White Shark, Bluefin Tuna). Thirty-nine individuals and six species have been detected returning to SAB MPA at least once in a sequential year since 2015, demonstrating the value of a long-term monitoring platform for detecting possible changes in these species’ behaviour. Detections of these animals informs on the importance of the MPA as a seasonal migratory corridor with common seasonal latitudinal pathways identified in the MPA and connectivity to the Gulf of St. Lawrence, Nova Scotian south shore, Newfoundland coast, the USA eastern seaboard, and eleven different freshwater systems throughout Canada and the USA. This large dataset provides direct evidence of species occurrence in the MPA and informs on spatial and temporal variation in the timing of migration and residency. We explore several potential drivers of variation in detections and residency, including MPA Zone, bottom temperature, habitat type, and depth, and discuss the implications for conservation objectives and indicators for long-term monitoring.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".