Difference in soil parameters between disturbed and undisturbed permafrost soil in Northwest Territories, Canada
Bibliographic record
Abstract
As a result of strong climatic changes in arctic regions, permafrost areas are subject to substantial modifications. The matter raises global concerns due to the permafrost carbon climate feedback causing large amounts of Greenhouse Gases to be released into the atmosphere. Rising temperatures and climatic changes lead to permafrost disturbances developing distinct features termed thermokarsts. Thermokarsts evolve when ice-rich permafrost thaws and the soil collapses into the volume previously occupied by ice. In this study, the main focus lies on the thermokarst feature retrogressive thaw slump in the proximity of lakes. The differences in soil parameters between the Active Layer and permafrost and between disturbed and undisturbed permafrost ground are examined to give indications about the parametrical changes of permafrost soils in respect to climate change, permafrost disturbance and the consequent development of thermokarsts. Carbon, nitrogen, grain size, ice content and Radiocarbon dating analysis were conducted for this thesis. Carbon and Nitrogen are clearly depleted in the active layer compared to values in the cryotic ground and in disturbed compared to undisturbed ground. Further detailed analyses between sites reveal highly fluctuating dynamics and suggest that permafrost disturbance, thermokarst development and hence the release of Greenhouse Gases strongly depends on site-specific features such as vegetation cover, orientation, slope angle, water content and the local landscape history. Although thermokarsts and Greenhouse Gas release are known to increase in the future, how and to what extent controlling factors influence the soils development on a local scale is yet to be determined.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 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".