Fish Stocks in the southern Scotia Arc region – a review and prospectus Antarctic predator response to fish depletion D
Bibliographic record
Abstract
We provide a summary of biological aspects and population trends of demersal finfish stocks in the southern Scotia Arc region of Antarctica. Information presented here, drawn largely from recent scientific research surveys, includes aspects of species composition, biomass and stock structure, reproduction and early life history, age, growth, and nat-ural mortality, and diet. Although Antarctic fish faunal groups overlap in the southern Scotia Arc, the region is dominated by species of low-Antarctic origin both in terms of biomass and number of species. Several basic biological parameters of the abundant fish species in the southern Scotia Arc are comparatively well known, though less so in the South Orkney Islands than the South Shetland Islands. These stocks suffered substantial declines as a result of commercial exploitation of mackerel ice fish, Champsocephalus gunnari, and marbled notothenia, Notothenia rossii, in the late 1970s and mid 1980s. This led to a moratorium on directed fishing in 1989–90 which remains in effect. At present, several stocks, with the exception of these two species, appear to have recov-ered. A number of important biological features, such as age, growth, mortality, and the early life history of most species are still poorly understood. Key biological research needs are identified.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".