Effects of spawning Atlantic salmon (<i>Salmo salar</i>) on total lipid content and fatty acid composition of river food webs
Bibliographic record
Abstract
Abstract Returning Atlantic salmon subsidize rivers with marine‐derived nutrients ( MDN s), potentially altering food web dynamics, shifting to reliance on marine‐derived resources. Stream channels designed to simulate natural river systems, one with MDNs from spawning Atlantic salmon ( Salmo salar ) and one without marine‐nutrient subsidies (control), were used to determine whether fatty acids (FAs) delivered to rivers and streams by spawning Atlantic salmon are incorporated by freshwater biota. Changes in FA profiles between stream channels with and without MDN inputs for biofilm, macroinvertebrates, and Atlantic salmon parr were used to characterize temporal dynamics of MDN incorporation during pre‐spawning, spawning, and post‐spawning periods. There were no differences between control and treatment stream channels prior to the addition of Atlantic salmon. Spawning Atlantic salmon had a positive effect on total lipid content in all trophic levels (biofilm, 4.33%; macroinvertebrates, 7.54%; salmon parr, 2.59%), relative to controls. Fatty acid profiles between the MDN treatment and control stream channels were similar for each biotic group prior to the introduction of adult Atlantic salmon; however, following adult salmon introductions, the FA profiles of the biofilm, invertebrates, and salmon parr differed by as much as 36.7%, 30.3%, and 22.9%, respectively, between the MDN treatment stream channels and the controls. Fatty acid profiles of the invertebrates and salmon parr from the MDN treatment stream channels tracked the FA profile of the salmon eggs. Proportions of docosahexaenoic acid and eicosapentaenoic acid varied with diet in a predictable manner related to dietary FA proportions. These responses demonstrate a change in the food web structure resulting from the establishment of this new, marine‐based, basal resource. The positive effects of MDN s increasing freshwater productivity are complimented by marine‐based lipids that represent surplus energy and an increase in the quality of resources, thereby contributing to the diversity and health of freshwater ecosystems.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".