Carbon Pools and Accumulation Rates in an Age‐Series of Soils in Drained Thaw‐Lake Basins, Arctic Alaska
Bibliographic record
Abstract
We examined soils in 20 drained thaw‐lake basins (DTLBs) near Barrow representing four age classes: young [0–50 years before present (BP)], medium (50–300 BP), old (300–2000 BP), and ancient (2000–5500 BP). In addition, we examined an erosional remnant that is about 8000 yr in age with deep organic deposits. There are significant age‐related differences in thickness of the organic layer, which for DTLBs represents surface organic accumulation since lake drainage. The lower portion of the organic layer progresses in decomposition stage from fibric in young basins to sapric in ancient basins and the erosional remnant. Whereas extractable organic matter (humic‐ and fulvic‐acid fractions) in the organic layer decreases, the nonextractable portion (humin) increases with basin age. There are significant age‐related differences ( p = 0.027) in soil organic carbon (SOC) of the organic layer; however, there were no significant differences in C pools for other depths or within the upper 100 cm. Profile SOC pools in DTLBs average 48 kg m −3 , which is less than elsewhere on the Arctic Coastal Plain (62 kg m −3 ). From a depth of 100 to approximately 160 cm, SOC pools average 3.2 kg C m −2 dm −1 , confirming that there are large amounts of SOC below the traditional reporting depth of 100 cm. The spatial variability of SOC pools increases with relative basin age class and is likely because of increased variability in hydrology related to enrichment of ground ice in the upper permafrost. The long‐term net accumulation (during the last 5500 yr) of SOC is 13 g m −2 yr −1
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".