Freshwater rainbow trout (Oncorhynchus mykiss) farming affects sediment and pore-water chemistry
Bibliographic record
Abstract
Marine aquaculture has come under scrutiny, whereas little is known about the nature and extent of the effects of cage aquaculture in freshwater. We describe the development of changes in sediment and pore-water chemistry caused by an experimental Oncorhynchus mykiss farm located in freshwater Lake 375 (Experimental Lakes Area, north-western Ontario, Canada) during its first two production cycles along a distance transect from the cage. Significant changes in sediment chemistry were quick to develop; pore-water ammonia was elevated under the cage after 1 month and sediment nutrients were elevated 1 month later. The effects on the benthic environment were spatially localised, although variables responded to different extents. Within 16 months, nutrient concentrations in surface sediment reached an asymptote, whereas concentrations of metals and ammonia continued to increase. Copper (Cu) and zinc (Zn) concentrations under the cage reached levels that exceed sediment quality guidelines and may cause adverse biological impacts. An anti-fouling coating applied to the net pen was the major source of Cu, whereas Zn originated also from fish feed. Ammonia and pH are recommended for inclusion in monitoring programs because they were sensitive to fish farming and are biologically relevant. We also suggest inclusion of Cu and Zn in monitoring programs at farms with treated nets.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 teacher head, 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".