Tidal Marsh Sediment and Carbon Accretion on a Geomorphologically Dynamic Coastline
Bibliographic record
Abstract
Abstract We examined the sediment profiles, surface accretion rates, and soil carbon (C) accumulation rates of two brackish tidal marshes on Kilbella and Wannock Rivers of the central coast of British Columbia, Canada, a region where such tidal marsh studies are rare. Sediment grain size is variable within these deposits and is a significant predictor of soil C density. The average soil C density of the Kilbella (0.027 ± 0.01 g C cm−³) and the Wannock marsh (0.029 ± 0.007 g C cm−³) are within the range of reported global averages. Compared to global estimates, the depth weighted mean rates of soil C accumulation are low, between 29 and 50 g C m−2 year−1, although high sectional rates (up to 490 ± 230 g C m−³ year−1) occur in deeper segments of the marsh profile at Kilbella. Modern accretion rates are below moderate to high sea level rise scenarios. The Kilbella marsh contains sand layers from periods of mass sedimentation events (landslides and tsunamis), which provide the marsh with elevation capital that can be critical to its sustainability. The Kilbella profile demonstrates that variation in carbon density with depth cannot be predicted in marshes on geomorphologically dynamic coasts.
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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 | 0.000 | 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".