Evaluating the Consequences of Physical Barriers on Fish During Long-distance Upstream Migrations Through Rivers
Bibliographic record
Abstract
Migration allows animals to exploit conditions across distinct habitats to maximize their potential fitness.These movements are dependent on connectivity between habitats that make it possible for animals to move unencumbered.In freshwater ecosystems, dams and other barriers can compromise connectivity and restrict the movement of migrating fish (among other organisms).The central objective of this thesis was to evaluate the consequences of physical barriers on fish during long-distance upstream migrations through rivers.This thesis generates multiple lines of evidence to evaluate that objective, including a literature synthesis, as well as ecological, social science, and physiological data, with much of this research focusing on Chinook salmon of the upper Yukon River that undertake one of the world's longest inland salmon migrations.First, I conducted a synthesis to identify the broad scale impacts of hydropower barriers on inland fish.Next, I evaluated the potential for a fishway to restore connectivity for upper Yukon River Chinook salmon beyond a hydropower barrier situated in a terminal reach of their migration.I then considered how the knowledge developed in the preceding chapters can inform the practice of fish passage by surveying fish passage engineers and scientists on the state of collaboration and knowledge dissemination in the field.Finally, I assessed the efficacy of an ex-situ approach to offsetting the impacts of barriers -hatchery production.This research revealed that the impacts of barriers on long-distance fish migrations (and the broader ecosystem) can be severe, but that approaches can be taken to minimize these impacts (Chapter 2).Fishways are one such approach, but they are not always effective for long-distance migrants like the upper Yukon River Chinook salmon (Chapters 3-5).Part of the solution may be more iii frequent collaboration and knowledge dissemination amongst fish passage professionals to enhance the effectiveness of fish passage facilities (Chapter 6).Hatcheries may complement fish passage efforts, though the physiological differences between hatchery and wild fish should be considered (Chapter 7).Findings from this thesis highlight the importance of maintaining connectivity for migratory fish to the benefit of the ecosystems and people that depend on them.Cooke got back to me right away asking whether I could '1) swim, 2) drive, and 3) travel'.He went on to describe what a summer job with his lab would involve… fishing, swimming, science, and collaboration.I was 'hooked' right away and would go on to spend the next 7 years of my life being mentored by Steve through my graduate degrees.Steve has provided me with all the learning, professional, networking, and travel opportunities a grad student could ever hope for.Your mentorship has shaped me as a scientist, and I can only hope that I can do the same for others moving forward!I have had many mentors throughout my academic journey, all of which have contributed to my development in different ways.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".