Water table fluctuations and carbon accumulation of a fen and a bog in the James Bay Lowlands of Quebec, Canada
Bibliographic record
Abstract
An important work regarding northern hemisphere peatland modeling is currently being processed. One of the first steps of this work is to understand the relationship between different components of the peatland system and to analyse the way unspecific peatland systems react to water table fluctuations in terms of accumulation and decomposition that we present in this article. We chose distinct sampling sites within a large region including boreal and subarctic ecosystems in the Bay James lowlands, northern Québec, Canada. Two fens were selected in the subarctic region and two bogs in the boreal region. These sites have different geographical, climatological and ecological features (ex. pH, nutrient availability and species compositions). Fens and bogs behaviours in matter of decomposition and accumulation thus follow different patterns. The analyses of cores for theses sites allow the comparison and the quantification of the differences between subarctic and boreal sites. Five cores were analysed against Testate amoebae every 2cm for the short cores and every 4cm for the long core. These cores are also dated with 210 Pb and 14C. Loss on ignition analysis was performed with the resolution of 1cm for each core. The use of a transfer function with the results of the Testate amoebae analysis allowed reconstruction of water table fluctuations from 7500 years BP to the present. This reconstruction gives us an insight into the humidity regime of the system. This information is compared to the carbon accumulation sequences to evaluate the response of the system to changes in water table position. This research shows response range between sites and quantifies the range of the water table fluctuation inducing an imbalance of the system. This information will be of significant importance for the development of the peatland dynamics modeling.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".