Variable effects of climate and density on the juvenile ecology of two salmonids in an Alaskan lake
Bibliographic record
Abstract
Despite concerns over rapidly warming temperatures, an empirical understanding of climatic impacts on wild salmonid populations is limited. We tested how temperature and density affected juvenile coho (Oncorhynchus kisutch) and sockeye salmon (Oncorhynchus nerka) using a 31 year census from an Alaskan lake. There were positive effects of temperature on overall salmon biomass, sockeye biomass, and the length of age 2 sockeye smolts. There was, however, little evidence for relationships between temperature or length of growing season and coho biomass, coho length, smolts per spawner (both species), and age structure (both species). In some cases there were temporal changes contrary to what is generally expected in a warming Alaskan lake with longer growing seasons (e.g., increasing proportions of age 2 smolts). Intraspecific density was negatively related to sockeye length at out-migration, but there was no evidence for relationships between density and other response variables. Overall, patterns observed here and in other studies emphasize that responses to climatic variation can vary substantially across locations, between similar species occupying the same habitats, and among alternative life history strategies within populations.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".