Annual cycle of CO<sub>2</sub> exchange at a bog peatland
Bibliographic record
Abstract
Eddy covariance measurements of the carbon dioxide flux from an ombrotrophic bog near Ottawa, Canada, were made between June 1, 1998, and May 31, 1999. Net ecosystem exchange of CO2 (NEE) showed a distinct annual cycle, with net daily uptake increasing rapidly after snowmelt, peaking in midsummer and declining toward the fall. Summer (June to September) mean daily NEE flux was an uptake of −2.8±0.23 (standard error) g CO2 m−2 d−1, but daily values ranged considerably from a loss of 4.8 g CO2 m−2 d−1 to a maximum uptake of −8.3 g CO2 m−2 d−1. Daytime fluxes of CO2 were closely related to the photosynthetically active radiation flux, with derived relationships varying monthly. A curvilinear relationship developed between nighttime NEE and soil temperature produced a Q10 value of 3.0. Throughout the late fall and the snow‐covered periods (November 5 to April 6), mean daily fluxes showed a fairly constant efflux of ∼1.1±0.003 g CO2 m−2 d−1. The integrated non‐growing season CO2 loss was 183 g CO2 m−2. However, this was offset by gains during the long growing period resulting in an integrated annual NEE net uptake of 248±68 g CO2 m−2 yr−1 for this peatland. The growing season measurements of CO2 flux at this site were similar to those reported in the few previous studies on northern peatland ecosystems, but no previous annual estimates of NEE based on year‐round measurements have been published for other peatlands. Compared to annual measurements at forest sites in North America, the net exchange at this site falls between that of a small annual loss recorded at a northern boreal spruce forest and the substantial uptakes measured at a temperate mixed forest and boreal aspen forest sites.
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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 | 0.000 | 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".