Acoustic telemetry and network analysis reveal seasonal spatial overlap between gadid species in a subarctic coastal marine protected area
Bibliographic record
Abstract
The Gilbert Bay marine protected area (MPA) was established in Labrador, Canada to protect a resident population of Atlantic cod ( Gadus morhua) and associated habitat. However, fisheries removals outside MPA boundaries have contributed to population decline and increases in potentially competing species may hinder recovery. Using acoustic telemetry and network analyses, we compared movements of Gilbert Bay cod ( n = 23), conspecifics from offshore environments (offshore Atlantic cod, n = 19), and Greenland cod ( Gadus ogac, n = 14) within and outside MPA boundaries from August 2014 to June 2017. Similar summer space use resulted in species overlap at seaward MPA boundaries and outside the MPA. In winter, Gilbert Bay cod and Greenland cod distributions overlapped within some MPA areas, and offshore Atlantic cod were absent. Some Gilbert Bay cod remained within the MPA year-round. Summer vulnerability to fisheries harvest outside MPA boundaries and winter overlap with competing Greenland cod within the MPA, may collectively challenge Gilbert Bay cod population recovery. Our study demonstrates the utility of acoustic telemetry and network analyses in evaluating animal movements for MPA management.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".