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Record W2057643092 · doi:10.5268/iw-3.3.542

A new pathway of freshwater methane emissions and the putative importance of microbubbles

2013· article· en· W2057643092 on OpenAlexafffund
Yves T. Prairie, Paul A. del Giorgio

Bibliographic record

VenueInland Waters · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsUniversité du Québec à Montréal
FundersNatural Sciences and Engineering Research Council of CanadaDirectorate for Biological SciencesHydro-Québec
KeywordsMethaneFlux (metallurgy)DiffusionCarbon dioxideEnvironmental scienceFick's laws of diffusionAtmospheric sciencesAtmosphere (unit)Freshwater ecosystemAtmospheric methaneChemistryEcosystemEnvironmental chemistrySoil scienceEcologyThermodynamicsGeologyPhysics

Abstract

fetched live from OpenAlex

Continental freshwater systems have now been shown to be globally significant sources of methane, but there are still large uncertainties associated with freshwater methane fluxes. Studies to date have mainly focused on either ebullition of bubbles originating from sediments or on diffusive fluxes of dissolved methane across the air–water interface. We examined the potential influence of a new mode of methane emission from freshwater systems by comparing the gas exchange velocities derived from carbon dioxide and methane fluxes in a set of diverse systems and environmental conditions. In more than 90% of 260 measurements, methane exhibited higher evasion rates than strictly Fickian diffusive processes would suggest. The portion of flux associated with this non-Fickian diffusion, which we attribute to the presence of semistable microbubbles, was closely related and directly proportional to the degree of methane supersaturation relative to the atmosphere. On average, microbubble-mediated flux contributed about half of the total measured diffusive efflux from the systems and could be modeled as an additive gas piston velocity of, on average, 2.1 m d−1. The microbubble-mediated flux is completely absent in calculations of diffusive methane fluxes derived from ambient pCH4, and is also not necessarily captured in current approaches used to determine ebullition rates. Our results suggest that methane evasion rates based only on measured partial pressures and exchange velocities characteristic of Fickian diffusive processes will grossly underestimate methane losses from these boreal ecosystems.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.095
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

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

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 head0.004
GPT teacher head0.181
Teacher spread0.177 · 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 teacher head, 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

Citations73
Published2013
Admission routes2
Has abstractyes

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