CLIMATE - CARBON DYNAMICS IN NORTHERN PEATLANDS
Bibliographic record
Abstract
Northern wetlands contain 30% of the worlds terrestrial carbon store and are believed to be a contemporary sink of CO2 (0.1 to 0.5 Pg C yr-1) and a source of CH4 (10 C 30 Tg C yr-1). Until recently, most of the studies on the atmosphere-biosphere exchange of greenhouse gases from northern peatlands were short-term and seasonal, and there were few models of peatland carbon cycling that could be used in climate simulations. In 1998 the Peatland Carbon Study began continuous measurements of the carbon dynamics of a northern peatland. This research has continued, now as part of the Fluxnet Canada Research Network. As part of the Land Surface Processes node of the former Climate Research Network and now as an integral part of the Global Canadian Coupled Carbon Climate Model research network, we have developed several ecosystem models to simulation the response of northern peatlands to climate variability and change. The continuous measurements indicate that over a six-year, the C balance can be either positive (source to the atmosphere) or negative (net sink). Further our results show that one or two years worth on measurements are inadequate to conclude the role of a peatland as a sink or source, and that a C balance without the inclusions of the losses of C via the export of dissolved organic carbon (DOC) and/or CH4, is too uncertainty to be useful in climate-greenhouse gas exchange assessments. Development, evaluation and sensitivity analysis of two different process models, the Peatland Carbon Simulator (PCARS), and a more recent McGill Wetland Model (McWM), show the critical importance of climate, hydrology and plant community structure to simulating peatland greenhouse gas exchanges. If the hydrology of a peatland can not be simulated with reasonable success C e.g. water table evaluation with 0.1 m accuracy, then the results of the ecosystems models are too large to help in climate and greenhouse gas assessments. This presents a huge challenge for the peatland modelling community. We have been reasonably successful in simulated peatland hydrology and surface climate for northern bogs and mineral poor fens using a wetland version of the Canadian Land Surface Scheme at a point, but scaling the models to the region and global remains elusive. Using a long-term paleo-ecological model for northern peatlands, the Peat Accumulation Model (PAM), and a very simple carbon cycle and radiative forcing model, we have examined how the sink/source function of northern peatlands involving multiple greenhouse gases C e.g. CO2 and CH4, can be assessed. We have concluded, in all but constant conditions, the Global Warming Potential, that is widely used by the peatland community, is not a particularly, appropriate metric.
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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 | 0.001 |
| 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) | 0.001 | 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".