Pathways of blue carbon export from kelp and seagrass beds along the Atlantic coast of Nova Scotia
Bibliographic record
Abstract
Coastal vegetated ecosystems are recognized for their role in cycling and storing carbon in the world’s oceans (i.e., blue carbon); however, high uncertainty in carbon sequestration rates are driven in part by an absence of studies directly estimating carbon export to the deep sea. We modeled export from nearshore kelp forests and seagrass beds, showing that export varies by orders of magnitude across spatial scales (5 – 100s km), kelp and seagrass species, seasons, and forms of carbon, raising caution in using generalized export rates in blue carbon accounting. Our results are also the first to show rapid (within 20-30 days) and extensive export of neutrally buoyant dissolved organic carbon to the shelf break (up to 44% within 90 days), contrasting sinking particulate organic carbon particles that remained within 100 m water depth in the near shore. These results improve estimates of carbon sequestration by nearshore vegetated ecosystems and reveal contrasting patterns of export relative to other regions of the globe.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".