Comparability of blue shark mortality estimates for the Atlantic and Pacific longline fisheries
Bibliographic record
Abstract
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 396:161-164 (2009) - DOI: https://doi.org/10.3354/meps08433 REPLY COMMENT Comparability of blue shark mortality estimates for the Atlantic and Pacific longline fisheries Steven E. Campana1,*, Warren Joyce1, Malcolm P. Francis2, Michael J. Manning2,† 1Bedford Institute of Oceanography, PO Box 1006, Dartmouth, Nova Scotia, Canada B2Y 4A2 2National Institute of Water and Atmospheric Research (NIWA), Private Bag 14901, Kilbirnie, Wellington, New Zealand *Email: steven.campana@dfo-mpo.gc.ca†Deceased ABSTRACT: Blue sharks Prionace glauca are among the most frequently caught and discarded fish species in pelagic longline fisheries of both the Atlantic and Pacific oceans. Fishery-specific differences between Atlantic and Pacific longliners lead to differences in both hooking and post-release mortality rates. However, the estimates of both hooking and post-release mortality reported by Moyes et al. (2006; Trans Am Fish Soc 135:1389–1397) around Hawaii are considerably lower than those reported elsewhere, both in the Atlantic and the Pacific. Our comparison of Campana et al. (2009; Mar Ecol Prog Ser 387:241–253) with Moyes et al. suggests that the difference in blue shark mortality estimates is explained by the partial use of J hooks in the Atlantic fishery, and by the shorter soak time, fewer hooks fished, and gentler handling practices by the scientific crew in the Pacific study by Moyes et al. The study by Moyes et al. is an important contribution to our understanding of blue shark mortality; nevertheless, we consider it inappropriate to use their low estimates of blue shark mortality as a proxy for bycatch mortality rates in the commercial fishery. KEY WORDS: Pop-up satellite archival tag · Hooking mortality · Soak time · Discard mortality · Longline fishery Full text in pdf format PreviousNextCite this article as: Campana SE, Joyce W, Francis MP, Manning MJ (2009) Comparability of blue shark mortality estimates for the Atlantic and Pacific longline fisheries. Mar Ecol Prog Ser 396:161-164. https://doi.org/10.3354/meps08433Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 396. Online publication date: December 09, 2009 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2009 Inter-Research.
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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 | 0.023 | 0.128 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".