The role of northern peatlands in the global carbon cycle for the 21st century
Bibliographic record
Abstract
Abstract Aim Persistent sinks of atmospheric CO 2 in undisturbed peatlands are not included in future projections of the global carbon budget. We aimed to explore possible responses of northern peatlands to future climate change and to quantify the role of northern peatlands in the carbon balance of the Northern Hemisphere. Location The terrestrial Northern Hemisphere (>30° N). Time period 1861–2099. Major taxa studied Not a specific plant species, but a plant functional type is used by the model to represent an average of all vegetation growing in northern peatlands. Methods The ORCHIDEE‐PEAT v.2.0 process‐based land surface model was used to simulate area and carbon dynamics of northern peatlands. The model was driven up to the year 2099 by the global CO 2 concentration from representative concentration pathways (RCPs) 2.6, 6.0 and 8.5 by corresponding climate projections from two general circulation models after bias correction. Results First, from 1861 to 2005 the mean annual carbon balance of northern peatlands was an atmospheric CO 2 sink of 0.10 PgC/year, and this sink will roughly double in the future under both RCP2.6 and RCP6.0, whereas the total northern peatlands will be either a source of CO 2 (IPSL‐CM5A‐LR) or near neutral (GFDL‐ESM2M) by the end of the century under RCP8.5. Second, the peatlands in western Canada, western and northern Europe may experience reducing areas and may shift from being CO 2 sinks to sources, especially under rapid climate warming. Third, peatland enhances soil carbon accumulation in the Northern Hemisphere (lands north of 30° N). Main conclusions In this study, future changes in both northern peatland extent and peatland carbon storage are simulated. We highlight that undisturbed northern peatlands are small but persistent carbon sinks in the future; thus, it is important to protect these ecosystems.
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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 | 0.001 |
| 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".