Quantifying spatial and temporal Holocene carbon accumulation in ombrotrophic peatlands of the Eastmain region, Quebec, Canada
Bibliographic record
Abstract
Northern peatlands represent important stocks of organic carbon (C). Peatland C dynamics have the potential to influence atmospheric greenhouse gas concentrations and are therefore of interest concerning future climate change. Quantification of Holocene variations in peat C accumulation rates is often based on a single, deep core. However, deep cores may overestimate accumulation rates when extrapolated to the ecosystem scale. We propose a reconstruction of C sequestration patterns based on multiple cores from three ombrotrophic peatlands in boreal Quebec, Canada. Both total C accumulation and temporal variations herein were quantified. Radiocarbon-dated stratigraphies from different sections resulted in peatland-specific age-depth models. Peatland initiation started rapidly after deglaciation around 7500 cal BP. Vertical accumulation slowed down in the course of the Holocene, whereas lateral expansion was rapid in the early stages but slowed down near mid-Holocene. Total C accumulation showed maximum rates between 5250 and 3500 cal BP with a regional mean Holocene apparent rate of 16.2 g m-2 yr-1. The Eastmain peatlands have been modest sinks of organic C compared to those of Alaska, western Canada and western Siberia, although differences in calculation methods hamper direct comparisons. Considering within-peatland dynamics, maximum total C sequestration coincided with a period of slowing down in both lateral expansion and vertical accumulation. Late-Holocene diminishing peatland C sink functions have been attributed to autogenic as well as allogenic factors. Height-induced surface drying and/or Neoglacial cooling effects may have forced the slowing down of C sequestration in the studied bogs. Results further show that, in order to obtain an accurate quantification of past C sequestration, reconstructions of peatland expansion are essential.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".