Bulrush Mediation Effects on Wave Action: Implications for Over-water Nesting Birds
Bibliographic record
Abstract
Many species of waterbirds nest over-water in shallow lakes and marshes in the Northern Plains region of North America. High winds are common in this region and the resulting waves can cause significant loss of nesting platforms, yet the behavior of waves in these systems has not been well-studied. We used observational and experimental techniques to examine how Hardstem Bulrush (Schoenoplectus acutus Muhl.) impacts wave attenuation through its clonal growth characteristics. The predictable growth patterns influence nest placement and nesting success in colonial nesting grebes and other over-water nesting waterbirds. We constructed an artificial nesting colony to experimentally test how location with respect to wave-exposure affects nest structural integrity in grebes. Additional experiments with boat wakes confirmed the importance of emergent vegetation in attenuating waves caused by watercraft. Nests gain more protection from being placed on the lee side of a stand of vegetation than by having denser vegetation right at the nest. Over-water nests that are more protected from wave action by vegetation are at least three times more likely to hatch eggs than more exposed nests.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".