Methane and soil and plant community respiration from wetlands, Kejimkujik National Park, Nova Scotia: Measurements, predictions, and climatic change
Bibliographic record
Abstract
A static, dark chamber technique was used weekly from mid‐July to mid‐November in 1995 and biweekly from mid‐May to late November in 1996, to measure methane (CH4) flux and soil and plant community respiration of CO2 from 36 sites in two wetlands in Kejimkujik National Park in south‐central Nova Scotia, Canada. Overall mean fluxes of CH4 were 43 mg m−2 d−1 in 1995 and 20 mg m−2 d−1 in 1996. Respiration rates were 5.1 g CO2 m−2 d−1 in 1995 and 3.2 g CO2 m−2 d−1 in 1996. Fluxes of CH4 and CO2 were related to microtopography and ecological grouping, depth to water table, and air and peat temperatures. Edge and hummock sites showed the lowest CH4 flux and the highest respiration rate, while pools showed the highest CH4 and lowest respiration rate. Gas emissions displayed a strong seasonal pattern with highest values occurring during the summer (June to August) and with a marked reduction in late fall. Depth to water table and air temperature explained 34 to 43% of the variance in CH4 flux and respiration from the sites over the 2 years (n = 666 to 824). We developed algorithms relating the daily mean flux of CH4 and respiration from the wetlands to an aspatial soil moisture, water table, and temperature model (ForHyM2) applied to the wetland basins. We then applied this model to calculated May to October fluxes of CH4 and CO2 from 1966 to 1998. We estimated that CH4 fluxes ranged from 2.8 to 7.4 g m−2, with a mean of 3.7 g m−2 and a standard deviation of 1.2 g m−2 over the 1966–1998 period. Respiration estimates ranged from 0.60 to 1.16 kg CO2 m−2, with a mean of 0.74 kg CO2 m−2 and a standard deviation of 0.11 kg CO2 m−2. Application of a 2xCO2 General Circulation Model scenario to temperature and precipitation for this part of eastern Canada resulted in increases of growing season CH4 emissions from 4.7 to 11.4 g m−2 and respiration from 0.77 to 1.32 kg CO2 m−2.
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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 | 0.001 | 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) | 0.000 | 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".