Pelagic methane oxidation in the northern Chukchi Sea
Bibliographic record
Abstract
Abstract Significant amounts of methane reside in sediments along the continental margins and slope of the Arctic Ocean. Methanotrophic bacteria oxidize methane to bicarbonate and also assimilate some methane‐derived carbon into biomass. Their metabolism transforms methane to other forms of carbon and sequesters it within the system, reducing its emission to the atmosphere. Increases in water temperatures driven by global climate change may accelerate the methane flux from the benthos into the water column, potentially increasing the importance of methanotrophic consumption as a methane sink. We report methane concentrations and oxidation rates in the water column of the Chukchi Sea from August 2017. This area is characterized by seasonally high nutrient concentrations that fuel high rates of pelagic primary productivity and subsequent sedimentation of organic matter, which stimulates benthic methanogenesis. Methane concentrations in the study area ranged from 6 to 72 nmol L−1, consistent with previously published measurements. Methane oxidation rates were as high as 580 pmol L−1 d−1, similar to the rates measured in the East Siberian Arctic Shelf. Depth‐integrated methane oxidation rates were lower than methane efflux rates, suggesting that physiochemical factors prevent the methanotrophic microbial community from efficiently removing methane from the ecosystem. Still, methanotrophic bacteria provide an ecosystem service by removing a fraction of methane prior to its efflux to the atmosphere.
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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 | 0.001 | 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 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".