The effects of climate change on north-temperate lake trout (Salvelinus namaycush) populations
Bibliographic record
Abstract
Aquatic ecosystems are expected to undergo major changes in response to climate change. Lake trout (Salvelinus namaycush) is predatory fish found in oligotrophic lakes of Canada and is considered a sentinel species for studying the impacts of warming on lakes due to its requirement for cold water. The objective of this thesis was to determine the impacts of warming on north-temperate lake trout populations. In Chapters 1-3, I used long-term datasets collected from small lakes near the southern extent of lake trout’s distribution to determine how warming impacts thermal habitat and how these habitat changes cascade to alter the behaviour and growth of individuals and ultimately population-level characteristics of this species. I found that over a period when annual air temperatures increased by ≈ 2 ˚C there was a 14-day reduction, on average, in the ice-free season and an equal extension of summer — a period when littoral zone temperatures exceed the metabolic optimal for lake trout. Years with shorter springs and longer summers negatively impacts lake trout by limiting access to littoral prey, resulting in slower growth and reduced condition. I also found that the growth and size structure of an unexploited lake trout population shifted during this warming period; the population is now made up of a larger number of small individuals with lower condition and reduced life span. Lake trout also began to mature at younger ages and had reduced maximum size. Results suggest these changes in size-structure were not due to changes in the amount or size of prey fish or density-dependence, as the biomass of adult lake trout remained constant over time. In Chapter 4, I collected data from a northern lake to describe the seasonal ecology of this northern lake trout population and predict how warming might alter growth. I found that lake trout displayed similar seasonal cycles in habitat use and diet as in southern lakes, but that the use of littoral habitat was far reduced, likely due to the presence of pelagic prey fish and northern pike (Esox lucius) in this lake. Lastly, bioenergetic simulations indicated that the under a 2 ˚C warming scenario, the growth and consumption of lake trout would increase in this northern lake assuming prey was readily available.
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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 | 0.001 |
| 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 | 0.001 |
| 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".