Evidence of two contrasting brown trout <i>Salmo trutta</i> populations spatially separated in the River Borne (France) and shift in management towards conservation of the native lineage
Bibliographic record
Abstract
A multidisciplinary study was made of brown trout Salmo trutta in the Borne River, a typical fast-flowing mountain stream in the Northern French Alps, in the geographical range of the Mediterranean lineages (ML). Information on (1) the proportion of stocked fluoro-marked fish in the angling harvest, (2) the introgression of introduced DNA microsatellite alleles into the native gene pool and (3) the demography of the population in situ in autumn revealed two contrasting populations separated by a physical barrier to upstream migration. A native S. trutta population (c. 10 000 adults) lives downstream of the barrier and is characterized by a large frequency of ML alleles (82-97%) and high densities (43-55 fish 100 m(-2)). This population is maintained predominantly by natural recruitment of juveniles (51-82%). In contrast, the upstream population is characterized by a large frequency of Atlantic lineage (AL) alleles (78-100%) and low densities (1-2 fish 100 m(-2)) and appears to be maintained by restocking (90-100%). The origins of these sharply contrasting populations appear to reflect isolation by an impassable barrier, catastrophic flooding, a downstream gradient in water quality, stocking and fishing pressure. The native downstream population has been resilient to large sudden floods and to intensive stockings of domesticated AL fish. The results of this study justify a shift in management towards conservation and rehabilitation of the native population.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".