A 15,800 year record of productivity, carbon accumulation and environmental change at Eight Mile Lake and its catchment, central Alaska
Bibliographic record
Abstract
Despite their efficient burial of organic carbon (OC), the role of high-latitude lakes in storing and processing OC under changing climates is poorly understood. We investigate a 15,800 year sedimentary record from Eight Mile Lake, central Alaska, to understand how paleoclimate influenced productivity and OC storage. We compare our data (physical and biogeochemical properties) to data from terrestrial soil cores in the watershed and find three distinct depositional phases. From 15.8–11.7 ka lake sediment accumulated rapidly with the highest OC accumulation rates (OCAR), comparable to Holocene organic-rich soils in the catchment, and promoted by high burial efficiency and enhanced erosion. From 11.7–5.5 ka proportionally more aquatic organic matter accumulated under stable climate conditions. From 5.5 ka – present, lacustrine OCAR was low but with high century-scale variability, suggesting variable erosion and transport with increased moisture, concurrent with loess and organic-rich soil buildup on the hillslope. Our findings demonstrate that factors promoting syngenetic permafrost growth and terrestrial OCAR (primarily temperature and geomorphology) differ from those promoting OCAR in high-latitude lakes (primarily sedimentation rates). Overall, we present a unique pairing of Holocene lake sediment and soil records, highlighting the importance of burial efficiency on OCAR in high-latitude lakes.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 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 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".