Landfast sea ice-benthic coupling during spring and potential impacts of system changes on food web dynamics in Eclipse Sound, Canadian Arctic
Bibliographic record
Abstract
We investigated the role of sea ice-derived carbon in the food web of Eclipse Sound, Canadian Arctic during the spring ice-covered season to understand the potential ecological impact of changes to the sea-ice habitat.Chlorophyll a (chl a) concentrations in the bottom of sea ice (438.2 ± 154.2 µg l -1 , 19.8 ± 6.6 mg m -2 ) were more than 2 orders of magnitude higher than in surface waters (0.9 ± 0.7 µg l -1 ).Fatty acid (FA) composition showed that algal communities in the bottom sea ice comprised higher abundances of diatoms compared to surface waters.Benthic invertebrates (ophiuroids, polychaetes) and sediments had high proportions of diatom-associated FAs in their lipid composition.H-Print estimates of the proportional contributions of sea icederived carbon to the carbon pool of the benthic community were substantial, ranging on average between 77 and 85%.High carbon stable isotope values (δ 13 C) in benthic invertebrates and sediments (δ 13 C: -19.6 to -11.6 ‰) further suggests that a large portion of the benthic carbon pool was of sea-ice origin, while surface waters were significantly lower (δ 13 C: -22.32 ± 2.17 ‰).In this ecosystem where landfast ice is present for most of the year, strong sea ice-benthic coupling emphasizes the dependency of the food web on ice productivity.As timing and magnitude of sea icederived carbon will change under alterations of climatic conditions and possibly with increased shipping activities in the study region, the adaptive capacity of sea ice-dependent species is anticipated to play a key role in determining future food webs. KEY WORDS: Sea ice • Ice algae •
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".