Bull Trout Movements Match the Life History of Sockeye Salmon: Consumers Can Exploit Seasonally Distinct Resource Pulses
Bibliographic record
Abstract
Abstract Resource pulses provide consumers with opportunities to feed at high rates. The spawning and die‐off of semelparous Pacific salmon provide consumers with feeding opportunities that contribute substantially to annual energy budgets. The life history of Pacific salmon also includes the downstream migration of smolts, which could provide similar opportunities for consumers to exploit. We tracked seasonal movements of adult Bull Trout Salvelinus confluentus in and out of the Chilko Lake–River outlet in interior British Columbia, which is characterized by a large Sockeye Salmon Oncorhynchus nerka population. Use of the outlet, lake, and river habitats were compared with the timing of out‐migrations of Sockeye Salmon smolt and the spawning events of Sockeye Salmon, Chinook Salmon O. tshawytscha, and Coho Salmon O. kisutch. Bull Trout activity and residency in the outlet increased during the spring Sockeye Salmon smolt out‐migration, and 40% of Bull Trout were found to return to the outlet in successive years. During Sockeye Salmon spawning, Bull Trout residency was increased in the river where most Sockeye Salmon spawning occurs. Therefore, Bull Trout may exploit both life history events, although direct consumption of eggs was not observed. Spawning by Chinook Salmon and Coho Salmon in the river did not appear to attract Bull Trout; Bull Trout residency increased in the lake (where spawning does not occur) during these times. Bull Trout residency in the lake also increased when outlet water temperatures were >16°C, and thus the lake may provide thermal refuge when river temperatures are above optima for this coldwater char. This research demonstrates that movements of aquatic consumers can depend upon smolt out‐migrations, and such movements can allow exploitation of multiple pulses that are seasonally distinct. These results also highlight the ecological significance of Pacific salmon for consumers in freshwater systems. Received August 18, 2016; accepted January 11, 2017 Published online March 21, 2017
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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 | 0.000 |
| 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) | 0.003 | 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".