Mineral Influence of a Northern Estuary on the Retention of Aquatic and Land-derived Stabilized Organic Carbon (MINERALS-OC)
Bibliographic record
Abstract
The global carbon cycle encompasses reservoirs and the dynamic fluxes of carbon within and among them. These reservoirs include the atmosphere, lithosphere, biosphere, and hydrosphere, each contributing to or receiving carbon in spatially and temporally varying ways. Marine sediments represent a critical sink for organic carbon (OC), with coastal and deltaic sediments playing a dominant role in sequestering OC. These sediments receive terrestrial and marine OC in varying proportions along the land-to-ocean continuum, where their preservation is strongly influenced by protective associations with reactive minerals, particularly iron (hydr)oxides and clay minerals. Despite their importance, the combined effects of iron and clay minerals in preferentially stabilizing specific types of OC remain poorly understood, particularly under changing redox conditions. The extent to which these mineral OC associations are formed in-situ within sediments as opposed to pre-depositional formation on land also remains to be determined. To address these knowledge gaps, this study employs dual isotopic (δ13C, Δ14C) and molecular approaches to explore the combined roles of clays and reactive iron in OC stabilization across both temporal and spatial gradients. By analyzing total, iron-associated, clay-associated, and non-soluble residual OC fractions in oxic and anoxic sediment layers along gradients of terrestrial and marine OC inputs, this research will (i) quantify the relative contributions of clays and iron oxides to OC stabilization in surface (0–3 cm) and diagenetically stabilized deep (26–31 cm) sediments and (ii) resolve the preferential preservation of marine versus terrestrial OC within mineral-associated fractions through isotope and biomarker analyses. The findings of this study provide critical insights into the source-to-sink fate of mineral-associated OC in coastal sedimentary systems and elucidate their implications in the global carbon cycle, advancing our understanding of carbon sequestration in dynamic environments.
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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 | 0.001 | 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".