Vertical flux and fate of particulate matter in a Newfoundland fjord at sub-zero water temperatures during spring
Bibliographic record
Abstract
To test the hypothesis that low temperature inhibits utilization of sinking spring bloom material, we studied the formation and fate of the bloom in Conception Bay, Newfoundland, Canada, where the entire water column is <0°C during the spring bloom and the benthos is <–1°C year round. The bloom formed in April and sank from the upper mixed layer in May, following nutrient depletion in the upper 50 m. Using sediment traps (40, 80, 150, and 240 m depth), we determined time-averaged fluxes of total particulate matter, particulate organic carbon, particulate organic nitrogen, and chlorophyll a as the material sank to the bottom. The sinking material was dominated by zooplankton fecal pellets before and after the sinking event, but by diatom vegetative cells and spores during it. Over half (56%) of the primary production during the spring bloom was exported from the upper mixed layer. The principal fate of sinking phytodetritus was aerobic utilization by benthic microorganisms (42%), followed by consumption by water column zooplankton (18%). Although rates of primary production and sinking in Conception Bay were not exceptional in a global context, the quality of the sinking material was extremely high in terms of properties such as percent organic matter, percent carbon, and percent nitrogen. We found little evidence for low temperature regulation of the utilization of organic carbon from the spring bloom in Conception Bay, but we propose a role of low temperature in maintaining high nutritional quality of sinking phytodetritus.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".