Population Dynamics of Waterfowl Wintering in the Mid-Atlantic Region, USA
Bibliographic record
Abstract
A recent study (Rosenberg et al. 2019) has shown that bird populations in North America are experiencing major declines except for a few groups including waterfowl. However, this study focused only on the summer breeding populations and did not focus on regional dynamics. We utilized data from 62 Christmas Bird Count (CBC) count circles to evaluate population dynamics of common wintering waterfowl in the coastal Mid-Atlantic region (Delaware=7, Maryland=16, Virginia=18, North Carolina=21) since 1950. We found a 36% decline of wintering waterfowl relative abundance compared to 1950s. American wigeon and Canada goose had major population decreases while Snow goose had a major population increase. Species wintering in marsh habitats decreased while cavity nesters had an increase. Additionally, omnivore and granivore species had significant declines with no apparent effects on other feeding guilds. Our work suggests significant population declines of many wintering waterfowl species in the Mid-Atlantic region (N = 11; 38% of species studied) despite the continental-scale recovery of waterfowl.
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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 | 0.000 | 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 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".