Invasive Spartina and reduced sediments: Shanghai's dangerous silver bullet
Bibliographic record
Abstract
This synthesis paper is developed to provide a summary of ecological, socioeconomic challenges facing the estuarine wetlands within the Yangtze River delta. We combined literature review of the estuarine wetlands and ground measurements of sedimentation, vegetation, and carbon fluxes to illustrate the foreseeable crises in managing these wetlands that play a critical role in Shanghai's urban development. Where the Yangtze River meets the Pacific Ocean, 4.15 × 108 mg/year of suspended sediments are deposited along mainland and island shorelines of the 40 000 km2 delta—resulting in an average growth rate of land outwards 64 m/year since 1951. However, completion of the Three Gorges Dam in 2003, and earlier dam projects, reduced the rates of sedimentation and growth of the islands. To meet the increasing demands for lands and agriculture, policymakers have attempted to enlarge the islands by diking coastal areas and introducing Spartina alterniflora—a grass native to tidal salt marshes of the southeastern USA but exotic to China. Spartina is one of the 16 greatest invasive species listed by the State Environmental Protection Administration of China. Successful plantations and rapid spread of this species have increased the production and fertility of the coast, but at the cost of native ecosystems. We outline the social, economic, and ecological controversies related to this land management strategy in the context of global warming. Combinations of these changes, including sea level rise, and alterations to storm patterns and long-shore currents, with the continued spread of Spartina, human population growth, and river flow and sediment reduction will make current management untenable.
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How this classification was reachedexpand
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) | 0.001 | 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 teacher head, 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".