The thermal conductivity of vegetation ground covers in permafrost areas
Bibliographic record
Abstract
Abstract Cold biomes are characterized by bryophyte-dominated vegetation, which helps regulate soil temperature by altering thermal conductivity based on moisture content. However, information on the thermal properties of vegetation ground covers in permafrost areas, particularly in their frozen state, remains limited. This study aims to fill this gap by investigating the thermal conductivity of various moss and lichen species collected from Northern Manitoba’s Hudson Bay lowlands, using both field and laboratory measurements. The results show that, in unfrozen conditions, thermal conductivity increases linearly with volumetric water content. In frozen samples, an exponential relationship was observed, indicating an increase in conductivity as water turns to ice. We derived empirical equations to describe these relationships and validated them using one-dimensional thermal modeling at instrumented permafrost sites. We also tested the transferability of our approach at a comparative site in the Yamal region and explored the thermal impacts of vegetation removal. The findings highlight the importance of including vegetation ground cover properties in permafrost thermal modeling and provide a practical framework for quantifying their effects under both natural and disturbed conditions.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".