Holocene carbon dynamics of boreal and subarctic peatlands from Québec, Canada
Bibliographic record
Abstract
Peatlands constitute major sinks of organic carbon (C) and play a key role in the global C cycle. Here, we present a synthesis of peat records from six ecoclimatic regions in Québec, Canada, in order to quantify Holocene patterns of C accumulation and relationships with contemporary climate data. Average long-term apparent rates of C accumulation (LORCA) were calculated for 21 peat cores and range from 10 to 70 g C/m 2 /yr with a mean of 26.1 (standard error of mean (SEM) = 3.6) g C/m 2 /yr, which is slightly higher than the mean value for northern peatlands as a whole (Loisel et al., 2014). We found that regional climate has been a major factor controlling long-term peatland C accumulation and that site-specific factors may explain some variability between sites. Our data show that LORCA tend to decrease with latitude. The lowest LORCA are found in the northernmost peatlands located at the boreal forest/forest-tundra ecotone, whereas the highest values are recorded in the peatlands along the St. Lawrence Estuary, characterized by the highest mean summer temperature, number of growing degree-days above 0°C and mean annual precipitation. Temporal variations in Holocene C accumulations rates were synthesized for 16 peat cores, which show high values during the mid-Holocene (6000–4000 cal. yr BP) followed by a decline during the Neoglacial cooling, especially between 2000 and 1200 cal. yr BP. Our study contributes to a better understanding of sensitivity of peatland C balance to climate change in a poorly documented part of the circumboreal region.
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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".