Investigating Small Copepod Trophic Ecology and Diet via Lipid Analysis
Bibliographic record
Abstract
Small copepod trophic ecology is widely understudied due to inadequate mesh size of plankton nets and a focus on sampling larger copepod species. Due to their estimated high abundance as well as their involvement in multiple trophic pathways, small copepods are a crucial link between lower and higher trophic levels in marine food webs. The objectives of this study were to determine (i) the diet and (ii) the degree of dietary overlap in small copepod species to gain insights into intraspecific competition. Copepods were sampled from three locations, the Strait of Georgia, the west coast of Vancouver Island, and the NE Pacific open ocean. Lipids (fatty acids) were used as dietary tracers as prey lipids accumulate in consumer tissues over time. Certain fatty acid signatures are indicative of specific prey items; therefore, we can determine dietary preferences of copepods by examining their fatty acid composition. The results of this study revealed a high degree of small copepod dietary overlap, indicated by a wide variety of fatty acids found within each copepod species. The dietary overlap suggests that small copepod trophic ecology is complex with multiple pathways within the food web and therefore requires more specific dietary analysis techniques such as DNA metabarcoding of gut contents to untangle.
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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 | 0.001 | 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) | 0.002 | 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".