Carbon Dynamics of Subtropical Wetland Communities in South Florida
Bibliographic record
Abstract
Emission and uptake of greenhouse gases and the production and transport of dissolved organic matter in different wetland plant communities are key wetland functions determining two important ecosystem services, climate regulation and nutrient cycling.The objective of this dissertation was to study the variation of methane emissions, carbon sequestration and exports of dissolved organic carbon in wetland plant communities of a subtropical climate in south Florida.and are of interest in the design of future wetlands to intercept runoff from agricultural zones in the region and remove nutrients from it.The species dominating the different treatments in the mesocosms were: Typha domingensis, Cladium jamaicense, Nymphaea sp., Nymphaea sp./Eleocharis sp., Najas sp./Chara sp. and Najas sp.. Nymphaea sp./Eleocharis sp. and Najas sp./Chara sp.treatments functioned as temporary sinks for DOC, but, otherwise, all treatments were net sources of dissolved organic carbon, suggesting the importance of autochthonous material from within the mesocosms in the export of carbon.A two-source carbon isotope mixing model was used to estimate the contribution from inflow water and biomass into the outflow's dissolved organic carbon in each treatment.Dissolved organic carbon from biomass was relatively higher in treatments with emergent and floating vegetation (20 -32 %) than in treatments containing submerged aquatic vegetation (<5 %).This suggests a faster turnover of the organic matter in treatments dominated by submerged aquatic vegetation and presumably a comparative lower contribution of dissolved organic nutrients exported to the outflow water.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".