Full year seasonality of benthos in the nearshore of Lake Superior
Bibliographic record
Abstract
Relatively little is known about the full-year dynamics of benthic invertebrates in seasonally-freezing lakes. In this study, we describe the seasonal variability in benthic invertebrate abundance and coarse-level taxonomic composition across five nearshore locations in Lake Superior , with a focus on the winter period. We found that benthos abundances were relatively stable across the year, with similar winter (2294 ± 987 SD ind. m −2 ) and summer densities (2710 ± 1445 SD ind. m −2 ) across all stations. Community composition was also relatively stable across the year at our study stations, with Hexagenia sp., chironomids , and oligochaetes dominating our shallowest station (Duluth Harbor) and oligochaetes, Diporeia sp., and clams (Sphaeriidae) dominating deeper locations. Across all stations, diversity was similar across seasons, with the highest number of taxa observed in the fall (5.4 ± 1.8) and lowest number in the summer (4.5 ± 1.4). We found that the winter-spring period was an important time for the reproduction of the Lake Superior keystone amphipod Diporeia sp. Finally, we show that community structure was more variable across sites than across seasons. This is one of very few studies of winter benthos in the Great Lakes and suggests that benthic invertebrate communities show muted seasonal variability compared to planktonic organisms.
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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) | 0.001 | 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".