Seasonal and spatial fluctuations in <i>Oncorhynchus</i> trout diet in a temperate mixed-forest watershed
Bibliographic record
Abstract
To examine seasonal and spatial factors affecting prey consumption by Oncorhynchus trout, we examined trout diet from mainstem and tributary sites at Hinkle Creek, Oregon. Benthic invertebrate densities were similar across seasons and did not differ between tributaries and the mainstem. Fluctuations in diet followed seasonal changes in invertebrate sizes and abundances. Average prey biomass consumed was positively correlated with fish size. Consumption rates were high in spring and summer but fell significantly in fall when fewer and smaller prey were eaten. A switch in consumption from 36% terrestrial prey biomass in spring to 85% in summer coincided with an increase in terrestrial prey size and a decrease in benthic prey size. Location within the watershed also affected prey consumption. Despite similarities in diet composition, tributary trout consumed somewhat more biomass than trout in the mainstem but grew relatively slower. Because stream fishes such as Oncorhynchus trout feed opportunistically on varied prey, studies incorporating multiple seasons and stream types are important to understanding energy exchanges between terrestrial and aquatic ecosystems.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".