Linking organic carbon sedimentation, burial efficiency, and long‐term accumulation in boreal lakes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Carbon (C) storage in lakes is now recognized as a significant sink of C at a global scale, but the pathways that lead to this storage remain poorly understood. In this study, we attempt to reconstruct and connect the processes that lead to long‐term C accumulation in boreal lakes. These include the rate of particulate organic C (POC) sedimentation in the water column and sediment metabolism operating at a temporal scale of weeks to months, organic C accumulation in the top sediment layers integrated over scales of tens of years, and long‐term organic C burial in lake sediment integrated over hundreds to thousands of years. The sinking POC flux was tenfold higher than the short‐term sediment C accumulation rates in all systems, and we found no direct relationship between this downward C flux and either the short‐term or long‐term C accumulation rates. However, the resulting C burial efficiency (which ranged from 5 to 62%) was strongly related to lake shape, which ultimately constrains the time freshly deposited material that is exposed to oxygen and thereby regulates the fraction of the carbon sinking flux that is mineralized back to the atmosphere or permanently buried in the sediments. Small and deep lakes act as more efficient C sinks than large and flat lakes. We also show that long‐term burial rates are nearly identical to current centennial‐scale accumulation rates and that therefore, little degradation occurs after a few decades. Sediment C storage tends to be small (<5%) relative to lake C emissions, but that this balance is also strongly related to lake morphometry.
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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 | 0.003 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it