Symposium Paper: Bycatch and Beached Birds: Assessing Mortality Impacts in Coastal Net Fisheries Using Marine Bird Strandings
Why this work is in the frame
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Bibliographic record
Abstract
In most of the world's coastal fisheries, bycatch of marine birds is rarely monitored, and thus the impact on populations is poorly known.We used marine bird strandings to assess the impact of entanglement in Pacific Northwest coastal net salmon fisheries.We compared the magnitude and species composition of fisheries-associated strandings (FAS) to baseline data collected at beaches monitored by citizenscience programs in Washington State and British Columbia, and to seabirds salvaged from gillnets during observer programs.Carcass encounter rates were 16.4 carcasses/km [95% confidence interval (CI): 11.2 to 21.7] for FAS and 1.00 carcasses/km (95% CI: 0.87 to 1.14) for baseline data.Declines in fisheries effort were associated with decreasing FAS, although declines in at-sea seabird abundance may also be at play.Common Murres Uria aalge comprised most of the carcasses in both the FAS (86%) and bycatch studies (71%).Although the total count of murre FAS represented a small fraction (1.3%-6.6%) of baseline mortality accumulated for the Salish Sea over the same period, murre FAS added 0.2%-2.9% to annual mortality rates.Considering the effects of other natural and anthropogenic mortality agents on murres in the region, this species might benefit from further protection.Given the complexity of salmon fisheries management and the ubiquitous distribution of seabirds in the Salish Sea, we recommend the comprehensive adoption of gillnet gear modification to reduce seabird bycatch, a solution that may prove to be beneficial for the vitality of seabird populations and of the fishing industry.
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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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 it