The Movement Ecology of Freshwater Fishes in an Urbanizing River System
Bibliographic record
Abstract
For mobile animals such as fishes, different habitat types at various life stages are required to support a broad range of ecological requirements.However in urban areas, access to highquality, suitable habitat may be impeded.Moreover, rehabilitation efforts to urban waterbodies are infrequent, small-scale, and inadequately monitored.In this thesis, I characterized the movement ecology of freshwater fishes in an urban watershed in eastern Ontario, Canada.I used acoustic telemetry to track the seasonal movements of muskellunge (Esox masquinongy) in the Jock River.I also used passive integrated transponder telemetry to assess the ecological connectivity of the fish community between the Jock River and a decommissioned and rehabilitated stormwater management pond.My research revealed that there is ecological connectivity between a rehabilitated stormwater pond and the Jock River and that fish within the Jock River engage in extensive seasonal movements between habitats that may support behaviours such as overwintering, spawning, and overall growth and development.iiiAcknowledgements "Without your past, you could never have arrived so wondrously and brutally, by design or some violent, exquisite happenstance…here" -Taylor Swift, 2017 I'd like to begin by thanking Steve, who took a chance on a young woman who knew nothing about fish but everything about what it felt like to crave unknown adventure.Thank you for permanently changing the trajectory of my life in that moment and for every opportunity afterwards.Alongside my other supervisors, Jon Midwood and Sean Landsman, I have arrived at this finish line thanks to your trust, guidance, and support.Sean, I truly cannot thank you enough for your father-like care, concern, and patience over the years when it came to my well-being and comfort in the field and beyond.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".