Seasonal and inter-annual variability of carbon dioxide exchange at a boreal peatland in north-east European Russia
Bibliographic record
Abstract
Although peatlands cover about 10 % of north-east European Russia, few publications report carbon dioxide (CO2) fluxes in the tundra and middle taiga peatlands of this region. In this study the CO2 balance of a boreal peatland in the Komi Republic was determined using the eddy covariance method, for the summer periods (10 June to 10 September) of 2012 and 2013. Monthly totals of net ecosystem exchange (NEE) varied significantly over the two years. The total net CO2 flux from the atmosphere to the peatland was 30 % greater in June 2013 than during the same month in 2012. The difference for July was smaller. In 2012 the total CO2 flux in August was 29 % higher, and in September it was 2.4 times lower, than in 2013. Despite the differences in seasonal dynamics of NEE between 2012 and 2013, the mean monthly indicators of gas exchange in the peatland ecosystem were mostly similar. Maximum values of gross photosynthesis (Pgross) and ecosystem respiration (Reco) were observed in July, which is the period of maximum development of the green biomass of plants. The CO2 fluxes were constrained by the precipitation and temperature regimes. During the drought of 2013, Pgross and Reco were mostly influenced by the incidence of precipitation. The peatland was a CO2 sink during both growing seasons and, in June–September 2012, it sequestered 317.66 g m-2 of CO2, which is 10.5 % more than during the same period in 2013. Our results are broadly comparable with measurements in similar peatland ecosystems across northern Europe and south-east Canada.
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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) | 0.000 | 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".