Editorial: Sources, sinks, and emissions in aquatic systems: the past, present, and future under global change
Bibliographic record
Abstract
Editorial on the Research Topic Sources, sinks, and emissions in aquatic systems: the past, present, and future under global change Methane, a greenhouse gas with a high warming potential, is increasing at an alarming rate (Nisbet et al., 2019).While studies have quantified methane emissions through in situ measurements, fewer studies have sought a mechanistic understanding of methane dynamics in aquatic systems (Langenegger et al., 2019).The atmospheric methane contribution from inland and coastal waters remains largely uncertain due to the current mechanistic knowledge gaps and stochastic processes (Bastviken et al., 2011).Methane is unusual in aquatic systems because its oxidation can be nearly as large as its production, highlighting the importance of focusing on both sources and sinks (Thottathil et al., 2019).The studies in this Research Topic include physical-biogeochemical processes driving methane cycling in both natural and artificial waterbodies, including drivers such as climate warming, eutrophication, and urbanization.Interdisciplinary studies present the effects and feedbacks between methane cycling on the waterbody ecology, physical-biogeochemical cycles, ecology, microbiology, and modeling.Study areas include all types of inland and ocean waters and local, regional, and global upscaling, as well as forecasting.The article types include original research, brief research reports, and reviews.McClure et al. discussed the potential of near-term ecological forecasting to improve the predicting of sediment methane ebullition rates.The authors developed and tested a nearterm, iterative forecasting model of methane ebullition rates in a small eutrophic reservoir.The results show that their refitting approach provides more accurate predictions of methane ebullition rates up to 2 weeks into the future, and it outperforms forecasts without refitting and a persistence null model.The study highlights the need for an improved mechanistic understanding of methane models and future improvements.Robison et al. quantified stream diffusive methane emissions and compared them to previously published ebullitive emission rates in four lowland headwater streams to
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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 | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.006 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.013 | 0.014 |
| Insufficient payload (model declined to judge) | 0.037 | 0.025 |
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".