Diets of gadoid fish in Arctic waters of Svalbard fjords during the polar night
Bibliographic record
Abstract
Abstract As the climate warms, boreal fish species are expected to expand into the Arctic domain. Though water temperature is an important factor driving expansion of aquatic species, other variables may play a critical role in restricting those movements. Continuous darkness during the Arctic polar night has been suggested to impair foraging in visually searching boreal fish and may thus limit their northward expansion. We discuss feeding and diet composition of co-existing polar cod ( Boreogadus saida ), Atlantic cod ( Gadus morhua ), and haddock ( Melanogrammus aeglefinus ) during the polar night. The data presented cover January sampling during five consecutive years (2012–2016) in Svalbard fjords (78–80°N). Across species, more than 70% of individuals were feeding. Few stomachs were well filled, suggesting an overall moderate foraging activity or success. The endemic polar cod had the highest frequency of empty stomachs (40%), while Atlantic cod (25% empty) and haddock (21% empty) had fed most extensively. Diet composition indicated opportunistic feeding, with extensive diet overlap of the most abundant prey species (krill, Thysanoessa spp.) during years of highly abundant krill (2014–2015) but reverting to more distinct diets in a year (2016) with lower krill abundance. For all three species, presence of prey items in advanced degrees of digestion indicated feeding activity prior to each annual trawl sampling. The stomach fullness and diet overlap suggest that coexisting and similar sized gadoids feed on the same available prey resources during polar night.
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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".