Temporal and Spatial Quantification of Fine‐Sediment Accumulation Downstream of Culverts in Brook Trout Habitat
Bibliographic record
Abstract
Abstract We quantified fine‐sediment accumulation annually from 2000 to 2003 after culvert construction in five Laurentian Shield streams containing brook trout Salvelinus fontinalis. A significant spatial pattern (section effect) was observed in which the accumulation was lowest upstream of the culvert (section 1), peaked in the section directly below the culvert (section 2), and slightly decreased in sections further downstream (sections 3‐5) without returning to upstream levels. The accumulation was always significantly higher downstream of the culvert than in section 1. The temporal pattern (period effect) was also significant; accumulation was lowest several weeks after construction, peaked at one full year after construction, and decreased at 2‐3 years postconstruction. Fine‐sediment accumulation differed significantly among all periods. The downstream distance at which sediment accumulation returned to upstream levels varied from 358 and 1,442 m below the culvert. Owing to the accumulated sediment, which probably originates primarily from construction sand or road erosion, habitat downstream of a culvert is in many cases of lower quality for brook trout incubation and rearing. Recommendations for minimizing culvert impacts on fish habitat are discussed.
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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 | 0.000 | 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".