Assessment of Fat Reserves Adequacy in the First Migrant Silver American Eels of a Large-Scale Stocking Experiment
Bibliographic record
Abstract
Abstract An experimental stocking program in the St. Lawrence River–Lake Ontario system provided a unique opportunity to compare reproductive fitness of migrant silver American Eels Anguilla rostrata from the stocking program (SM) and wild migrants (WM), both of which were grown in the same location. Body size, muscle lipid stores, oocyte development, and morphometric indices of silvering were compared between SM and WM eels captured in the St. Lawrence River estuary. Migrant eels from the stocking program were smaller than wild migrants from the estuary, but their size was similar to migrating wild silver American Eels from their site of original capture on the Atlantic coast of New Brunswick and Nova Scotia. A bioenergetic model was used to estimate the costs of migration and reproduction and the duration of migration. The adequacy of the measured lipid reserves to meet these estimated energetic costs was assessed for SM and WM eels. Gonad maturation and stage of silvering for SM eels were less advanced than that for WM eels, and they had lower initial muscle fat reserves and higher estimated energetic requirements for migration as a consequence of their smaller size. It was estimated that 100% of the SM eels would not have adequate fat reserves for migration and reproduction, whereas 57% of the WM eels would have adequate reserves. Smaller-sized SM eels would take 1.6 times longer to reach the spawning grounds than WM eels and, thus, may not arrive in synchrony with these wild migrants. Thus, smaller-sized, out-migrating, stocked eels from the upper St. Lawrence River are less likely than wild migrants to complete successfully their migration and reproduction. These results support the recommendation to source and stock American Eels at sites where they have similar life strategies to increase the likelihood of successful silver eel escapement. Received November 27, 2013; accepted April 9, 2014
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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 | 0.001 | 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 | 0.000 |
| 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".