Blue carbon storage and variability in Clayoquot Sound, British Columbia
Bibliographic record
Abstract
Seagrass habitats store substantial amounts of organic carbon, known as 'blue carbon', We took sediment cores from the intertidal and subtidal zones of three eelgrass (Zostera marina) meadows on the Pacific Coast of British Columbia, to assess carbon storage and accumulation rates. Sediment carbon concentrations did not exceed 1.30 %Corg, and carbon accumulation rates averaged 10.8 ± 5.2 g Corg m-2 yr-1. While sediment carbon stocks were generally higher in the eelgrass meadows relative to non-vegetated reference sites, carbon stocks averaged 1343 ± 482 g Corg m-2, substantially less than global averages. Our carbon estimates are in line with results from other Z. marina meadows; Z. marina’s shallow root system may contribute to lower carbon storage. Sandy sediment, nutrient limitation, and low sediment input may also contribute to low carbon values. The larger, more marine influenced meadows with cooler temperatures resulted in larger total carbon stock. By improving the quantification of site-specific carbon dynamics, eelgrass' role in climate change mitigation and conservation can be assessed.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".