Behavioural response of Sea Lamprey (Petromyzon marinus) to acoustic stimuli in a laboratory and field setting
Bibliographic record
Abstract
Sea lamprey are invasive in the Laurentian Great Lakes and parasitically feed on valued fishes. Migration barriers and selective pesticides are used to control sea lamprey, but there is a desire to develop additional control tools such as traps with deterrents. Sound has been used as a deterrent for other invasive species but its potential for manipulating sea lamprey behavior in natural stream conditions remains untested. The behavioural threshold for sea lamprey nor a behavioural comparison of life stages has also not been established. Here, behavioral responses of upstream migrating adult sea lamprey in response to low frequency sounds of 70 or 90 Hz was tracked in a small stream using passive integrated transponder (PIT) telemetry. The low frequency sounds shifted sea lamprey distribution with up to 30% more sea lamprey detected on PIT antennas without sound compared to PIT antennas with sound playing. The same frequency tones were used for behavioral responses of adult and juvenile sea lamprey and were tracked in a lab setup. The low frequency sounds changed the sea lampreys behaviour with juvenile and adult sea lamprey showing similar swimming behavioural thresholds and twitch (startle) behavioural thresholds for both frequencies. Future studies could continue testing low frequency sounds in natural setting for use as a natural deterrent at sea lamprey barriers to push sea lamprey toward traps at different life stages and continued studies in a lab setting could be useful for knowledge of the behaviour of sea lamprey to apply to traps for population control.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".