The role of cotton-grass (<i>Eriophorum vaginatum</i>) in the exchange of CO<sub>2</sub>and CH<sub>4</sub>at two restored peatlands, eastern Canada
Bibliographic record
Abstract
:We measured methane (CH4) and carbon dioxide (CO2) exchanges from bare peat and Eriophorum vaginatum ssp. spissum tussocks at recently restored harvested peatlands near Shippagan, New Brunswick and Rivière-du-Loup, Québec over three growing seasons (May to October). Average seasonal CH4 emission rates ranged from -1 to 65 mg·m-2·d-1, with a generally weak relationship with water table position. A stronger relationship was seen between CH4 emissions and above-ground plant biomass. CH4 fluxes from E. vaginatum tussocks were larger than those from bare peat surfaces and increased with increasing above-ground biomass and photosynthetic rate. Clipping fresh leaves from tussocks reduced the CH4 emission rates by 79%. Photosynthesis rates were large in tussocks, ranging from 0.9 to 3.4 g CO2-C·m-2·h-1 at high light levels, and respiration rates (autotrophic + heterotrophic) ranged from -0.1 to -1.3 g CO2-C·m-2·h-1. Some tussocks exhibited net CO2 loss to the atmosphere, even under high light levels. Although the rapid colonization of restored peat surfaces by E. vaginatum aids the development of other vascular plants and mosses, it increases the flux of CH4 to the atmosphere and provides little or no net C accumulation on the peat surface.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".