Nitrous oxide emissions could reduce the blue carbon value of marshes on eutrophic estuaries
Bibliographic record
Abstract
The supply of nitrogen to ecosystems has surpassed the Earth's Planetary Boundary and its input to the marine environment has caused estuarine waters to become eutrophic.Excessive supply of nitrogen to salt marshes has been associated with shifts in species' distribution and production, as well as marsh degradation and loss.Our study of salt marshes in agriculturally intensive watersheds shows that coastal eutrophication can have an additional impact.We measured gas fluxes from marsh soils and verified emissions of nitrous oxide (N 2 O) in nitrogen-loaded marshes while the reference marsh was a sink for this gas.Salt marsh soils are extremely efficient carbon sinks, but emissions of N 2 O, a greenhouse gas 298 times more potent than CO 2 , reduces the value of the carbon sink, and in some marshes, may counterbalance any value of stored carbon towards mitigation of climate change.Although more research is merited on the nitrogen transformations and carbon storage in eutrophic marshes, the possibility of significant N 2 O emissions should be considered when evaluating the market value of carbon in salt marshes subject to high levels of nitrogen loading.
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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".