Soil temperature response to global warming: implications for carbon content from thawing permafrost soils in North America
Bibliographic record
Abstract
Changes in the observed depth of the active layer in Northern regions and the projected changes in soil temperatures over the next century have recently raised questions on the fate of carbon stored in frozen soils should these soils thaw. Of particular concern are peatland soils that have a much higher carbon concentration then mineral soil but also have unique thermal and hydrological characteristics that insulate deeper peat soil from the atmosphere and dampen the response of soil temperatures to changes in air temperature. We used a thermodynamic soil temperature model to predict 21st century changes in the soil temperatures across northern North America, and implications of these changes for the active layer depth and the amount of carbon that could potentially interact with the atmosphere or hydrosphere. Taking into account the spatial distribution of peatlands and their depths in Alaska and Canada, we estimate the volume of newly thawed peatland soils and mineral soils and the amount of carbon that potentially changes from being relatively inert (frozen) to seasonally biogeochemically active in these soils. Results indicate a moderate decrease in the peatland area underlain by permanently frozen soils, and a steady increase in the volume of soil that will seasonally thaw during the 21st century for both mineral and peatland soils, although the degradation of permafrost in peatland areas is delayed. We report volumes of thawed soils and estimate carbon content in those volumes based on reported carbon concentrations.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".