Investigating the kinetics of marine and terrestrial organic carbon incorporation and degradation in coastal bulk sediment and water settings through isotopic lenses
Bibliographic record
Abstract
Coastal sediments are the main deposition center for allochthonous and autochthonous organic carbon (OC). The discharge of terrestrial biomass, anthropogenic activities, oceanic primary productivity, and natural events contribute to this carbon pool. The OC buried in sediments undergoes alteration through physical, biological and chemical processes, becoming progressively refractory and more likely to be preserved on geological time scales. However, little is known about the rate of bulk OC alteration post weathering and bloom. We incubated coastal sediment slurries with isotopically distinct spikes of C4 corn leaves and cultured phytoplankton, individually and in 1:1 mixture. OC isotopic values and concentrations were probed at different time points to track degradation and incorporation in solid and liquid phases. Both amendments were composed of fresh OC with a high proportion of labile biochemicals (e.g. polysaccharides and proteins). Despite the small differences in their lability, corn leaves were incorporated into the sediments at a slower rate compared to phytoplankton. Following combined spiking of the terrestrial and marine amendments, no sign of synergistic effects was observed in system's response. Despite sediment sensitivity to OC input and the rapid alterations in its properties within the initial days of incubation, swiftly transitioning to a state of minimal change is indicative of a relatively stable system that retained the isotopic imprint of the OC spike for a long time (> 32 days). This isotopic remanence is likely due to heterotrophic bacteria that degrade OC to synthesize their biomass (food stock for successive generations) and incorporate its stable isotope characteristics. Hence, our work sheds light on the kinetics of biogeochemical changes, and recovery time of the system for returning to its pre-perturbation state.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".