Effects of temperature change on demersal fishes in the California Current: a bioenergetics approach
Bibliographic record
Abstract
Diverse fish assemblages should feature a range of biological and ecological responses to temperature change. Using preliminary bioenergetics models, I simulated growth and maturation of three California Current groundfish (yelloweye rockfish ( Sebastes ruberrimus ), sablefish ( Anoplopoma fimbria ), and spiny dogfish ( Squalus acanthias )) at fixed temperatures ranging from 5 °C to 11 °C. I examined three response variables (size at age 1 (W1), age at 50% maturity (τ50%), and total prey consumption (C)). Yelloweye rockfish responded most strongly for W1, which increased 496% as temperature increased from 5 °C to 11 °C. Spiny dogfish τ50%was highly sensitive, declining from >48 years at 5 °C to <13 years at 11 °C. Age-specific C was most responsive in yelloweye rockfish, increasing by more than fivefold over the range of temperatures, although sablefish likely have greater community-wide impact because their trophic level and absolute feeding rates are higher. Regime shifts, temperature anomalies, or global climate change may directly affect fish energy budgets, elicit range shifts, or produce complex ecological interactions. Studies like this will help managers to identify temperature-sensitive species and anticipate potential changes in populations and diverse communities.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".