Impact of 90 years of drainage on the subsurface biogeochemistry of a northern bog
Bibliographic record
Abstract
Climate in the northern temperate and boreal zone will undergo significant changes in the 21st century and in some areas become drier and warmer. We investigated the impact of a century of drainage on hydrogeological and biogeochemical process patterns in the Mer Bleue Bog, Ontario, Canada. Depending on watershed area, either a bog system was maintained or trees invaded. Changed evapotranspiration and hydraulic characteristics, driven by increased decomposition of the soils, lead to distinct changes in hydrogeologic flow paths with recharging conditions in bog and discharging in treed areas, arguing that stability point exist for ecohydrological response. Altered vegetation and flow patterns corresponded to biogeochemical process patterns; under forest DOC concentration was increased, sulphate reduction dominated against methane production, syntrophic anaerobic microbial processes appeared to be partly disconnected according to thermodynamic analyses, and methane production was strongly reduced. A laboratory based analysis of these patterns demonstrated that humic substance enrichment may lead to suppression of methane production in such soils. The investigation of the electron accepting capacity of humic substances indicated clear redox gradients with depth and higher potential electron accepting capacities in the more intensely humified peat under forest. In summary, a century of dry conditions induced the development of two very different hydrological and biogeochemical systems that strongly differed in their redox and methane dynamics.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".