South Atlantic Bight – a final stop for Ruddy Turnstones migrating to the Arctic
Bibliographic record
Abstract
Migratory stopover sites are of high conservation concern especially those sites where shorebirds concentrate in large numbers to acquire fat reserves to fuel continued flight to breeding grounds. Many shorebirds use only a few stopover sites during northward migration to Arctic breeding grounds, thus identifying important locations, migration chronology, and flight routes are priority research topics to inform effective management strategies. We examined Ruddy Turnstones (<em>Arenaria interpres</em>) route and timing to Arctic breeding grounds from an island in South Carolina in the heart of the South Atlantic Bight using the Motus Wildlife Tracking System. Ruddy Turnstones leaving South Carolina did not migrate northward up the Atlantic coast but migrated inland through the Great Lakes Basin. Most Ruddy Turnstones did not make a stop in the Great Lakes Basin, thus making South Carolina the last presumed stopover before reaching Arctic habitats. Like other shorebird migration studies, most of the Ruddy Turnstones made use of tailwinds at departure and ground speeds were positively correlated with tailwind support. Future conservation planning for Ruddy Turnstones must consider the varied migratory routes and strategies of this declining shorebird species. This research also demonstrates the usefulness of Motus for tracking the movement of smaller shorebirds and the potential for strategic expansion of the Motus network to understand their full life cycle.
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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".