Exploring the extensive movements and home range of one of North America’s most mobile fish: the freshwater drum (Aplodinotus grunniens)
Bibliographic record
Abstract
Abstract Freshwater drum Aplodinotus grunniens are a unique and ubiquitous freshwater species of the family Sciaenidae. Despite the species’ wide distribution and unique biogeography, life history, and behavior, surprisingly little is known about freshwater drum movement ecology. In this study, we use passive acoustic telemetry tags and a broad-scale gridded receiver array to track the interannual and seasonal movement of freshwater drum tagged in tributaries of the North and South Basins of Lake Winnipeg (Manitoba, Canada). First, tagged freshwater drum had lower survival in the south basin where higher fishing pressure is thought to be a cause of mortality. We found that freshwater drum in Lake Winnipeg are remarkably mobile, with mean monthly movement rates among the highest on record for any freshwater fish. In the spring, fish entered rivers prior to spawning. A few weeks later, most individuals moved into lake habitat where they made extensive lateral movements. Home range and hotspot analysis revealed seasonal and population-specific patterns of occupancy, with elevated densities in lake habitat during the ice-on period and dispersed distributions during open water. Both populations remained almost exclusively in their respective rivers and basins. Homing and site fidelity were apparent, with nearly all fish returning to their original tagging river during each successive spawning season. The results bolster the existing information on freshwater drum movement ecology and may help enhance conservation and management strategies, particularly toward addressing commercial bycatch.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".