Microcosm experiments reveal Asian dust deposition stimulates growth and reduces diversity in bacterioplankton of the China Seas
Bibliographic record
Abstract
Dust deposition is considered an important source of many bioavailable nutrients to the marine environment. Nutritional status is the main factor regulating bacterioplankton growth, and thus it is important to study the effects of dust deposition. Microcosm experiments with dust aerosol addition were performed using surface water from the South China Sea (SC) for 12 days and southern Yellow Sea (SY) for 10 days. After incubation, the bacterial biomass in microcosms increased 10.82-fold and 2.22–3.32-fold under dust addition, in SC and SY respectively. Bacterial growth was also stimulated by dust aerosol, indicated by increased and more efficient heterotrophic secondary production. In addition, bacterial community structures were simplified by dust aerosol in both study areas. Alpha- and gamma-proteobacteria were the predominant bacteria in the microcosms following dust addition in SC, whereas alpha- and delta-proteobacteria were the main bacteria in SY. These results demonstrate that dust deposition regulates growth and community structure of marine bacteria in SC and SY by promoting phytoplankton growth.
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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".