Revealing early life history of brown trout in an impaired watershed through otolith geochemistry
Bibliographic record
Abstract
Early life history data are critical for conservation and management of trout species in freshwater river networks and are imperative for planning habitat restoration in degraded watersheds. In this study, we use otolith geochemical signatures to assign natal provenance and determine age of tributary outmigration for fluvial brown trout ( Salmo trutta) in the Upper Clark Fork River watershed, a large impaired river network. Distinct spatial variations in chemical markers allowed for accurate assignment of fish to their stream of origin and often to specific natal sites. All 10 natal tributaries investigated in this study contributed brown trout to the mainstem and most fish migrated from tributaries to the mainstem during age 1. Mainstem natal habitats, previously thought to be limited by pollution, contributed 29% of the total natal production. Our results indicate that trout in the Upper Clark Fork River use spawning and rearing habitats that are spread throughout the basin. Thus, restoration strategies should focus on maintaining and enhancing a broad variety of habitats and life histories to be successful.
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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 | 0.001 | 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".