Understanding the Arctic marine carbon cycle under changing climate: a reconstruction of productivity and biogenic carbon burial on the West Greenland margin of the Baffin Bay
Bibliographic record
Abstract
The continued input of additional carbon dioxide (CO2) since the start of the Industrial Revolution has increased the atmospheric CO2 content and the uptake of atmospheric CO2 by the ocean, which changes marine chemistry. These changes will trigger shifts in biological productivity and ecosystem processes, with the Arctic realm being expected to experience a greater-than-average response with profound effects on the marine carbon cycle. Models projecting future changes in the behaviour of the marine carbon cycle demand sustainable constraints. The geological record provides an opportunity to provide observational constraints by assessing past interactions between changing climate conditions and the marine carbon cycle. In the Baffin Bay, the Holocene may serve as an example to estimate the direction and magnitude of possible future developments and as an equivalent for the recent environmental changes. The aim is to contribute to the understanding of the marine carbon cycle as a requirement for the provisioning of sustainable model constraints by quantifying its key drivers like primary productivity (pp), export productivity and carbon burial. The establishment of a method for a nuisance free quantification of past pp is a prerequisite, at it is mostly influenced by other signals induced by diagenetic processes or other parameters obliterating the signal of pp. With the potential of an adequate quantification of pp, the sensitivity of key components driving the marine carbon cycle to changing environmental boundary conditions is evaluated. Results imply that during meltwater-influenced warming conditions the efficiency of organic carbon burial is decreasing, resulting in a weakening of the organic carbon pump. This is probably caused by changes in export efficiency, induced by a combination of an increase in the efficiency of organic matter recycling in the productive zone and a decrease in preservation due to longer oxygen exposure times induced by lower sedimentation rates.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".