Effect of entrapped gas on peatland surface level fluctuations
Bibliographic record
Abstract
Abstract Peat is a highly compressible medium and changes in peat surface level in response to shifts in water storage and entrapped gas volume have been reported previously. Since both peat compressibility and capacity to entrap gas are related to peat structure, we hypothesize that the relationship between water table and surface level may vary across a peatland. The objective of this study is to investigate the relationships between peat surface level positions, water table positions and subsurface gas pools at local topographic low‐lying areas within a poor fen, which differ in peat properties and vegetation cover. Three sites were investigated, two with highly movable surfaces (FA and FB) and one which was more stable (NF). Deviations from the water table position–surface level position relationship (residuals) appear to be related to changes in atmospheric pressure. However, this relationship varied between FA and NF. The differences in these relationships were supported by distinct patterns of gas dynamics between these sites. Ebullition tended to occur only during periods of falling atmospheric pressure at FA, whereas it occurred much more frequently at NF without atmospheric pressure being the primary control. Evidence of ebullition based on changes in volumetric water content below the water table were supported by ebullition measured by surface gas traps and by shifts in pore water pressure deviation. These different responses of surface level fluctuations to changes in atmospheric pressure between sampling locations are likely related to variations in peat properties between the sites. Copyright © 2006 John Wiley & Sons, Ltd.
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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 | 0.000 |
| 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) | 0.001 | 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".