Determining carbon fate and budgets throughout the Yangtze mainstream’s transportation processes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it