A Canadian example of using spatial management to minimize the impacts of trawling on benthic communities
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author.Spatial analysis of observer data from Atlantic Canada indicates that the distribution of trawling effort is very patchy. The short-term impacts of otter trawling on sand and gravel seabed habitats and communities have been studied in three-year manipulative experiments, one on the Grand Bank and one on Western Bank. In addition, the longterm impacts of scallop dredging have been studied by comparing two benthic data sets collected thirty years apart on an actively fished scallop ground in the Bay of Fundy. The combined results, which are in concurrence with research elsewhere, indicate that the most sensitive organisms to disturbance by fishing gear are large epibenthic taxa, especially sessile, structure-forming organisms such as horse mussels. Deep-water corals share these characteristics and are commonly found off Atlantic Canada in channels, canyons and along the slope. Video surveys have confirmed earlier anecdotal observations that important deep-water coral communities are particularly important in the Northeast Channel, the Gully and at the Stone Fence in the Laurentian Channel. Evidence of significant fishing damage has also been observed. Using these spatial data, and in consultation with the fishing industry, all three areas are now closed to bottomcontacting fishing gear to protect these important benthic communities.
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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 | 0.000 | 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 | 0.000 | 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) | 0.070 | 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".