Impact of modern thermokarst on mineral element release: case study in Cape Bounty, Canada
Bibliographic record
Abstract
Rapid permafrost thaw, exposing organic matter (OM) to decomposition, is also responsible for mineral alteration and nutrient release from previously perennially frozen materials. Ice-rich permafrost thaw creates local landscape degradations (subsidence) known as thermokarst structures, resulting in development of distinctive landforms. Two different types of structures are studied: an Active Layer Detachment (ALD) which is a one-time event, and a Retrogressive Thaw Slumps (RTS) which repeats annually during summer months. In the Cape Bounty Arctic Watershed Observatory (Canada), the total elemental content and mineral nutrient released from an ALD formed in 2007 and a RTS still very much active were compared. For the disturbed areas, results show an increase in total elemental content (for Al, Ca, Fe, K) with depth as compared to the undisturbed site, as well as an increase in plagioclase content. The mineral nutrient concentration released is also several times higher (Ca : 5 ; Na : 8 ; Mg : 5) for the RTS disturbed site compared to the undisturbed site. For ALD sites, there was no significant difference between the disturbed and the undisturbed areas. We hypothesize that the one-time ALD event was followed by a seasonal depletion of the total mineral nutrient content as well as the soluble mineral nutrient concentrations in disturbed and undisturbed soils since 2007. In contrast, RTS structures expose perennially frozen materials every summer after thaw and degradation. This study suggests that RTS development in the Arctic might constitute an important driver for mineral nutrient release by permafrost upon thawing, which might affect local to regional ecosystem chemistry. The data are also considered in the context of potential changes in organic carbon stability upon disturbance
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".