An analysis of carbon dioxide and methane exchange in a post-extraction, unrestored peatland in eastern Quebec
Bibliographic record
Abstract
Peatlands, in their pristine state, are important long-term sinks of carbon.The extraction of peat for agricultural purposes or for biofuel leads to a drastic shift in the carbon dynamics.Additionally, the change in environmental conditions after extraction could also allow for invasive species to establish and spread across the peatland.Many studies have shown the benefits and advantages of various restoration management practices, but few studies have explored the carbon exchange from unrestored peatlands.This study analyzed the methane (CH4) and carbon dioxide (CO2) fluxes from a post-extraction, unrestored peatland in Eastern Québec at both the plant community scale, using chamber methods, and at the ecosystem scale, using eddy covariance techniques.Results indicate that the site is an overall source of carbon rather than a sink, releasing an annual total of 153 g C m -2 and 241 g C m -2 in CO2 emissions for 2014 and 2015, respectively and an average annual total of 1 g C m -2 in CH4 emissions.Furthermore, Phragmites and Typha, both invasive species, have established themselves in the ditches and are sources of methane; partially explaining why the peatland's net carbon flux to the atmosphere has changed.Further research was conducted to examine these findings, including a vegetation survey that provided insight into the relative contributions of each plant community to the total CH4 and CO2 fluxes at the peatland site.Results from this study will help managers assess the importance of post-extraction peatland restoration, by comparing the differences in CO2 and CH4 exchange between restored and unrestored peatlands.iii Résumé Les tourbières, dans leur état d'origine, sont d'importantes réserves à long terme du carbone.L'extraction de la tourbe utilisée pour les usages agricoles ou pour les biocarburants conduit à un changement radical dans la dynamique du carbone.En outre, le changement des conditions environnementales après l'extraction pourrait également permettre aux espèces envahissantes à s'établir et se répartir dans la tourbière.De nombreuses études ont montré les I would like to thank first and foremost my supervisor, Dr. Ian Strachan, for all of his wonderful guidance, advice and financial and emotional support throughout the last two years, and my co-supervisor, Dr. Maria Strack, who provided helpful advice and constructive criticism.Thank you both very much for the great opportunity!A very big thank you as well to two very close colleagues, Dr. Luc Pelletier and Kelly Nugent, who helped me with the processing of my data as well as contributed to my overall understanding of peatlands and their carbon cycle feedbacks.I would also like to thank Dr. Nigel Roulet for
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".