European eel (<i>Anguilla anguilla</i>): prediction of spawner escapement from continental population parameters
Bibliographic record
Abstract
This paper describes the assessment of silver European eel (Anguilla anguilla) escapement based on a "sedentary" population fraction analysis in a 60-km 2 watershed of northern Brittany (France).Downstream migration fluxes were monitored using eel traps and related to environmental factors.Intensive electrofishing and fyke-net fishing were conducted to assess eel biomass, densities, and population structure.A total of 564 eels, including 81 silver eels, were PIT tagged.In 1996, 616 eels were caught in the catchment including 68 silver eels (11%).During the following downstream migration period, 12 of the PIT-tagged silver eels, among a total of 678, were recaptured in the downstream traps.Seven were recaptured in the catchment in 1997.It was shown that (i) only about 20% of the silver eels present in the catchment emigrated during the following year, (ii) 12% stayed in the catchment including two (3.4%) that recovered yellow eel characteristics, and (iii) the other eels either died or settled in the catchment but were not recaptured.It was also estimated that 2% (650 eels) of the population (34 000 eels) among 3000 silver eels considered "emigration candidates" emigrated each year,.Résumé : Le but de cette note est de proposer une approche permettant d'estimer l'échappement des anguilles européenne argentées (Anguilla anguilla) basée sur une analyse de la fraction de la population sédentaire dans un bassin versant de 60 km 2 de l'ouest de la France.Les flux de migration catadrome ont été observés en utilisant des pièges à anguilles et ont été mis en relation avec les facteurs environnementaux.Des campagnes de pêche électrique et de verveux ont permis d'estimer les biomasses, densités et structures de la population d'anguilles.Cinq cents soixante-quatre anguilles, incluant 81 anguilles argentés, ont été marquées par PIT tag.En 1996, 616 anguilles comprenant 68 argentées ont été capturées dans le bassin versant.Lors du pic de migration, parmi les 678 argentées capturées dans le piège de dévalaison, 12 anguilles argentées marquées ont été recapturées.Sept anguilles argentées ont été recapturées dans le bassin versant en 1997.Ces résultats montrent que (i) seulement 20% des anguilles argentées présentes dans le bassin versant migrent dans l'année, (ii) 12% restent dans le bassin versant, dont 2 (3.4%) qui régressent au stade jaune et (iii) les autres anguilles meurent où se sédentarisent dans le bassin versant.Le stock total d'anguille du bassin versant est de 34 000 anguilles, parmi celles-ci, on estime à environ 3 000 individus le stock d'anguilles argentées considérées comme « candidates à l'émigration ».Mais seules 650 anguilles argentées dévalent réellement, soit environ 2% du stock.
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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 | 0.001 | 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".