Determining carbon fate and budgets throughout the Yangtze mainstream’s transportation processes
Bibliographic record
Abstract
It is critical to comprehensively and accurately assess large-scale river carbon (C) fluxes and budgets for reducing global C budget uncertainty, particularly in rivers where extensive dam construction has occurred. However, there is a lack of integrative research on multi-interface fluxes extending from headwaters to estuaries, as well as associated influencing mechanisms. This study addressed the fate of different C components during riverine transport and identified their primary driving factors, elucidating the C budget dynamics pre-dam and post-dam construction. Results showed that the Yangtze mainstem acts as a biogeochemical reactor, with 13.5 Tg C/yr transported to the East China Sea (ECS), 4.7 Tg C/yr emitted, and 4.4 Tg C/yr buried. Hydrological processes, physicochemical parameters (temperature, pH, and total suspended matter) and dam construction governed the lateral C transportation. Nutrient concentrations and ratios influenced C emissions and burial processes. The Three Gorges Dam (TGD) increases C residence time, promotes the transformation of dissolved to particulate C, and enhances C retention, ultimately boosting riverine C burial by 140 %. Meanwhile, by altering the carbonate system, TGD elevates the pH and reduces pCO₂ in the Yangtze mainstem, decreasing its C source effect by 66 %. These findings are crucial for accurately quantifying the C budget of the Yangtze mainstem and forecasting its responses to anthropogenic pressures and dynamic climatic conditions.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".