The effect of temperature on methane dynamics in soil and peat cores: Calculations from membrane inlet mass spectrometry
Bibliographic record
Abstract
Methanogenesis and methane oxidation, fundamental microbial processes in the global carbon cycle, are mediated by numerous factors in terrestrial soil and wetland ecosystems. Accurate quantification of CH4 and CO2 concentrations in soils and wetlands is now possible using membrane inlet mass spectrometry. Below-ground production and headspace exchange of O2, CO2 and CH4 were monitored in microcosms from an upland Soil (Scotland) and three different peat bog systems (Sweden, Iceland and Scotland) by membrane inlet mass spectrometry. A comparison of cores from the different locations revealed that temperature, soil structure, plant cover and water table level are associated with the regulation of the depth of oxygen available for methanotrophic processes in the oxic zone and therefore gas emission rates. In aerobic soil cores, all the methane produced in anaerobic sites is oxidised rather than being emitted from the soil surface. In peat cores, molar CH4:CO2-ratios of around 1:10 indicate the boundary between the oxic and the anoxic zones. Changes in dissolved gas concentrations with depth and especially the molar CH4 :CO2-ratios are discussed. We also demonstrate that inconsistencies in dissolved gas profiles, along with higher localized molar CH4:CO2-ratios, indicate bubble formation at depths greater than 10 cm; gas emission by ebullition was promoted at these sites. Increase in temperature had a particularly strong effect upon gas dynamics in soil and peat cores. Gas solubilities were reduced and elevated CO2 and CH4 emission rates were observed potentially due to increased microbial activity. Key words: Methane, CO2, membrane inlet mass spectrometry, soil
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".