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Record W4386962132 · doi:10.5194/bg-2023-157

The marine methane cycle in the Canadian Arctic Archipelago during summer

2023· preprint· en· W4386962132 on OpenAlexaboutno aff
Alessandra D’Angelo, Cynthia Garcia‐Eidell, Zak Kerrigan, Jacob Strock, Frances Crable, Nikolas VanKeersbilck, Humair Raziuddin, Theressa Ewa, Samira Umar, Andrew L. King, Miquel A. Gonzàlez‐Meler, Brice Loose

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
FundersNational Science Foundation
KeywordsMeltwaterMethaneOceanographyWater columnArcticAnaerobic oxidation of methaneAtmospheric methaneSubarctic climateArchipelagoBayEnvironmental scienceTundraGeologyEnvironmental chemistryGlacierChemistryEcologyGreenhouse gasBiology

Abstract

fetched live from OpenAlex

Abstract. In the Arctic Ocean region, methane (CH4) concentrations are higher than the global average, with particularly high concentrations of dissolved CH4 observed along many subarctic and Arctic continental shelf margins. Despite this, the Arctic Ocean emits only minimal methane fluxes to the atmosphere across the air-sea interface, suggesting that water column oxidation of methane may be an important process. In this study, we paired thermohaline, chemical, and biological data collected during the Northwest Passage Project transit through the Canadian Arctic Archipelago (CAA) waters in the summer of 2019 with in-situ and in-vitro methane data. Our findings suggested that the most elevated in-situ concentration of dissolved methane was present in the near-surface waters of the Pacific, particularly in meltwater regions. The highest methane concentrations were observed within shallow waters, averaging at 5.8 ± 2.5 nM within the upper 30 m depth. Furthermore, the methane distribution showed a distinct pattern from east to west, with higher concentrations and oxidation rate potential in the western region. In our study, we observed generally low methane oxidation rate constants, averaging at 0.006 ± 0.002 d−1. However, surface waters from Wellington Channel and Croker Bay exhibited relatively higher methane oxidation rates, averaging at 0.01 ± 0.0004 d−1. These regions were distinguished by a significant proportion of meltwater, including both meteoric water and sea ice meltwater, mixed with water of Pacific origin. We identified microbial taxa of Pacific-origin likely associated with methane oxidation, including Oleispira (γ-proteobacteria) and Aurantivirga (Flavobacteria), in the Pacific and meteoric waters. In contrast, deeper layers (> 200 m depth) showed lower methane concentrations (av. 3.1 ± 1.1 nM) and lower methane oxidation rate constants (av. 0.005 ± 0.001 d−1). Within the sea ice, dissolved methane concentrations were found to be higher than the concentrations at equilibrium with atmospheric capacity, with an average of [CH4] = 9.2 ± 5 nM. The sea ice temperature data (Table S2) indicated the presence of ice permeability, which likely facilitated the release of dissolved methane that was either trapped or produced since the previous freezing period. Notably, methane concentrations were 25 % higher in waters collected in the western CAA in comparison to the ice-free waters (eq. S1). The overall picture suggested supersaturation of in-situ methane in shallow waters, coupled with faster oxidation rates in meltwater and Pacific dominant layers, suggesting rapid seasonal cycling of methane and prevention of the methane migration into the atmosphere.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.024
GPT teacher head0.246
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractyes

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