Marine nutrient subsidies to the terrestrial environment of Common Eider nesting colonies in the Canadian arctic
Bibliographic record
Abstract
Nutrient fluxes across ecosystem boundaries are thought to have pronounced effects on ecosystem dynamics, but these interactions can be difficult to confirm in complex systems.Islands are ideal for studying nutrient subsidies as they have finite boundaries.The arctic islands of Hudson Strait are severely nutrient limited, mostly undisturbed, and recovering from relatively recent glaciation.These islands support many species of seabird, including the Common Eider (Somateria mollissima), which can nest in large island colonies.Eiders forage on benthic invertebrates along coasts and return to these islands to nest.In doing so, eiders may transport marine nutrients to the terrestrial environments through excretion.These pulsed nutrient inputs during the short arctic summer may have an influence on primary productivity, trophic structure, and overall biodiversity of islands.I sampled vegetation, soil, and invertebrates on 25 islands and 6 mainland sites in the areas near Cape Dorset, Nunavut and Ivujivik, Quebec.Using stable isotope techniques, I show that nutrient subsidies from eiders to these colony islands are substantial, and have the potential to have ecosystem-level effects.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".