Variation in CO<sub>2</sub>exchange over three summers at microform scale in a boreal bog, Eastmain region, Québec, Canada
Bibliographic record
Abstract
[1] We examine variability in carbon dioxide (CO2) exchange as a function of meteorological conditions using static chambers across a peatland microtopographic gradient (high hummock, low hummock, lawn and hollow microforms) between June and August 2006, 2007, and 2008. Total June to August precipitation increased during the study period with 285 mm in 2006, 320 mm in 2007, and 369 mm in 2008, whereas monthly average temperature was similar among years, with the exception of August 2008, which was 2.4°C warmer than previous years. Significantly different relationships between photosynthetic photon flux density and net ecosystem exchange (NEE) were observed in 2008 on three of the four microforms corresponding with the different meteorological conditions. The controls on CO2 exchange varied among microforms: a water table closer to the peat surface increased NEE on the high and low hummocks by increasing maximum rates of photosynthesis (PSNmax) but reduced NEE on the hollow microform by flooding the surface vegetation and reducing PSNmax. Water table position was a significant control on ecosystem respiration (ER) only on the lawn microform. We examine relationships between water table position and PSNmax and ER, and propose a theoretical relationship, which supports results from other studies examining water table position and peat accumulation.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".