Evaluating the potential for trophodynamic control of fish by the longfin inshore squid (Loligo pealeii) in the Northwest Atlantic Ocean
Bibliographic record
Abstract
Many marine apex predator populations have been depleted via targeted fishing, potentially enhancing the productivity of lower trophic-level species such as squid. Squid may be predators of juvenile stages of fish stocks, so fishing could induce depensatory juvenile mortality. Here we evaluate the energetic potential of the longfin inshore squid ( Loligo pealeii ) to exert trophodynamic control on recruitment of several commercially important fish populations. We estimated the population prey consumption of L. pealeii by developing bioenergetics and population models based on previously published data. Our predictions of population consumption showed that squid consume high quantities of prey on daily and seasonal time scales. Further, comparisons between our estimates of population consumption and fish recruitment biomass indicate that L. pealeii may potentially exert a trophodynamic control on the recruitment success of commercially exploited fish species even if these species are only a minor prey item of squid. Overall, our findings suggest that the predation interactions of L. pealeii should be considered when managing and rebuilding fish stocks in the northwest Atlantic continental shelf ecosystem.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".