Congruent energy density trends of fish and birds reflect ecosystem change
Bibliographic record
Abstract
Lake Huron, the third largest freshwater lake in the world, has become increasingly oligotrophic since the early 1990s and is also currently experiencing substantial changes in species abundances and diversity. We used long‐term biomonitoring data to calculate whole‐body energy densities for Lake Huron rainbow smelt (Osmerus mordax), lake trout (Salvelinus namaycush), and also for herring gull (Larus argentatus) eggs collected from 1989–2011. Significant temporal declines in energy densities were observed for all three species, and significant declines were found for lake trout size‐at‐age and herring gull egg sizes. For lake trout and herring gulls, these declines occurred during a period of reduced abundance of pelagic forage fish and increased inclusion of terrestrial food in diets of herring gulls. Declining energy density in rainbow smelt occurred concomitant with declining phytoplankton and zooplankton resources, the principal energy source for this species. Reduced production capacity in lower trophic levels appears to be affecting upper trophic levels of the Lake Huron food web, emphasizing the cascading effects of ecosystem change.
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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 | 0.001 | 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".