The Role of Large Woody Debris in Beach‐Dune Interaction
Bibliographic record
Abstract
Abstract Coastal foredune evolution involves complex processes and controls that result from the interaction of aeolian and nearshore dynamics. No studies to date have quantified and examined the role of large woody debris (LWD) as a modulator of sediment delivery across the backshore and as a control on foredune development and maintenance. Results from a 4‐year research initiative on a high‐energy, macrotidal beach, and foredune system show that storm events lead to wave‐induced erosion of the backshore and consequent reworking of the LWD matrix. The exposed LWD matrix subsequently traps wind‐blown sand on the upper beach, reducing sediment delivery to the foredune by 99% in some cases. In turn, deposition within the LWD matrix leads to rapid burial of the LWD, at least until the next reworking or dune erosion event occurs. Interannual observations at this site indicate that infilling of the accommodation space within the LWD matrix can be rapid, so sediment starvation of the foredune is typically a relatively short‐lived phase. This suggests that that the LWD matrix is a highly effective, yet ephemeral, sand‐trapping reservoir. Critical to these interactions is the frequency and magnitude of nearshore events that erode the beach periodically and reorganize the LWD matrix, which directly impacts the ability of LWD to modulate onshore sand transport to the foredune, store sediment in the backshore, and act as a buffer against erosive events. An empirically derived conceptual model explaining these relationships is presented.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".