Does incidental fisheries bycatch in Canadian waters have population level impacts for northern fulmars breeding in Arctic Canada?
Bibliographic record
Abstract
Northern fulmar (Fulmarus glacialis) populations breeding in Arctic Canada are vulnerable to incidental seabird bycatch due to their ecology and overlapping foraging range with fisheries activities. The Greenland halibut (Reinhardtius hippoglossoides) fishery off eastern Baffin Island, Nunavut, catches fulmars incidentally in numbers that may have population-level implications for this species within Canada. We provide an assessment of the potential impacts of fisheries on fulmars that incorporates recent results from genetics, colony censuses, bycatch data from fisheries in the eastern Canadian Arctic and farther south in Atlantic Canada, and assessments of bycatch reporting error. We use Population Viability Analysis (PVA) incorporating biological removal from multiple fulmar source populations across a range of probable levels of bycatch removal. We demonstrate that, relative to conservatively optimistic baseline PVA models, low to average levels of probable bycatch taken between two distinct fisheries regions across fulmar source populations are likely to severely impede recovery or cause long-term declines of the total northern fulmar population in Arctic Canada. Importantly, it was necessary to consider the cumulative impacts of both southern and northern Canadian fisheries; models considering fisheries separately might suggest the impact is sustainable, whereas the combined impact is not. Given the high likelihood that bycatch in Canadian fisheries is having negative impacts on the Arctic northern fulmar population, we suggest that targeted bycatch mitigation strategies should be implemented.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 teacher head, 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".