The greenhouse gas flux and potential global warming feedbacks of a northern macrotidal and microtidal salt marsh
Bibliographic record
Abstract
Conversion of wetlands by drainage for agriculture or other anthropogenic activities could have a negative or positive feedback to global warming (GWF).We suggest that a major predictor of the GWF is salinity of the wetland soil (a proxy for available sulfate), a factor often ignored in other studies.We assess the radiative balance of two northern salt marshes with average soil salinities >20 ppt, but with high (macro-) and low (micro-) tidal amplitudes.The flux of greenhouse gases from soils at the end of the growing season averaged 485 ± 253 mg m -2 h -1 , 13 ± 30 µg m -2 h -1 , and 19 ± 58 µg m -2 h -1 in the microtidal marsh and 398 ± 201 mg m -2 h -1 , 2 ± 26 µg m -2 h -1 , and 35 ± 77 µg m -2 h -1 in the macrotidal marsh for CO 2 , N 2 O, and CH 4 , respectively.High rates of C sequestration mean that loss of these marshes would have a radiative balance of -981CO 2 eq.m -2 yr -1 in the microtidal and -567CO 2 eq.m -2 yr -1 in the macrotidal marsh.
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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".