Modeling the stratigraphic record of glacioeustatic sea-level rise and sediment starvation following Snowball Earth
Bibliographic record
Abstract
• Models show glacioeustatic sea level rise triggers sediment starvation on shelves. • The extent of starvation is constrained by shelf accommodation and sediment supply. • Modeled carbonate aligns with Australian cap carbonate observations. • Cap carbonate was likely deposited during intervals of sediment starvation. • Sediment starvation following Snowball Earth events could last millions of years. Cap carbonates overlying Neoproterozoic Snowball Earth glacial deposits are often interpreted as reflecting either rapid deglaciation or prolonged periods of post-glacial sediment starvation. To evaluate these contrasting depositional models, we use 3D stratigraphic forward modeling to assess the impact of glacioeustatic sea-level rise on continental shelf sedimentation. Our models, which incorporate real-world sediment supply data and margin configurations, demonstrate that the rapid, high-amplitude sea-level rise characteristic of a Snowball Earth deglaciation triggers prolonged periods of terrigenous sediment starvation on continental shelves. The duration of this sediment-starved period is positively correlated with shelf accommodation (highest in glacially influenced settings) and negatively correlated with sediment supply (lower in post-glacial settings). These results suggest that extensive hiatuses would have occurred across many post-Snowball Earth margins. While our models do not simulate the geochemical mechanisms driving cap carbonate precipitation, they show that general carbonate deposition during the siliciclastic hiatus is typically sharp-based, thickens basinward, and has a more gradational upper contact. These trends align with observations from Australian cap carbonate sequences, suggesting that sediment starvation played a role in their genesis. This research underscores the potential for extended periods of sediment starvation following Snowball Earth events and highlights the critical need to investigate the broader implications of such events on Earth's systems during this pivotal phase of its evolution.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".