Net ecosystem carbon balance for a peat bog undergoing restoration by integrating flux tower and aquatic flux measurements
Bibliographic record
Abstract
Peatlands are wetlands where gross primary production exceeds organic matter decomposition causing an accumulation of partially decomposed matter, also called peat. Peat ecosystems can accumulate more carbon (C) than tropical rainforests. However, dissolved fluxes of C (as dissolved organic carbon (DOC), carbon dioxide (CO₂) and methane (CH₄)) must also be considered to determine if these ecosystems are net sinks or sources of greenhouse gases (GHGs) to the atmosphere. This research was conducted in Burns Bog, Delta, BC, Canada, one of the largest bogs on the west coast of the Americas, but which has been heavily impacted by a range of human activities. Currently, ecological restoration efforts are underway by a large-scale ditch blocking program, with the aim of re-establishing water table conditions that promote peat accumulation. Here I present data on ecosystem-scale fluxes of CO₂ and CH4 determined by eddy covariance (EC), together with data on (i) evasion fluxes of CO₂ and CH₄ from the water surface, and (ii) the flux and characteristics of DOC in water draining Burns Bog. The net ecosystem carbon balance (NECB) was determined as the sum of EC fluxes and DOC export. Concentrations of dissolved CO₂ and CH₄ were determined by headspace equilibration, and evasion rates from the water surface were quantified and used to estimate the role of the hydrosphere in the ecosystem-scale measurements. Water samples collected from five saturated areas in the flux tower footprint were analyzed for DOC concentrations and characteristics. Satellite imaging showed that during the dry season 10% of the area was covered by water, while on the wet season, it was 60%. The hydrosphere was found to be a continual C source, emitting 271 g C m-² yr-¹. NECB was found to be -98 g C m-² yr-¹. DOC export was found to offset about 60% of the apparent net C emissions determined by EC during the wet season and 3% of the net C uptake during the dry season, indicating that the EC measurements by themselves underestimate C emissions during the wet season and overestimate C accumulation in the dry season by not accounting for DOC drainage.
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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".