Annual survival rates of migratory shore and upland game birds
Bibliographic record
Abstract
ABSTRACT Band recoveries from hunted populations are widely used to estimate survival and harvest rates. We used long‐term (1950–2010) band‐recovery data from the United States and Canada to estimate average survival and recovery rates for juvenile and adult sandhill cranes ( Grus canadensis ), American coots ( Fulica americana ), clapper rails ( Rallus longirostris ), and Wilson's snipe ( Gallinago delicata ). Banding data were typically sparse and Brownie recovery rates ( f ) were <1% for most species and age classes, so we also utilized encounters from birds banded and recovered throughout the year, including nonhunting recoveries. Estimated juvenile and adult annual survival rates based on combined dead recoveries were 0.917 (SE = 0.080) and 0.884 (SE = 0.006) for sandhill cranes; 0.325 (SE = 0.025) and 0.583 (SE = 0.008) for American coots; 0.368 (SE = 0.070) and 0.500 (SE = 0.025) for clapper rails; and 0.372 (SE = 0.077) and 0.653 (SE = 0.020) for Wilson's snipe. American coots had sufficient band‐recovery data during 1951–1987 to estimate annual process variation in survival for juveniles ( = 0.017) and adults ( = 0.056). Based on average estimated juvenile and adult survival rates for each species, stable populations could be achieved with average annual recruitment rates (expressed as fledged young per adult in the preseason population) of 0.15 (SD = 0.02) for sandhill cranes, 1.26 (SD = 0.19) for American coots, 1.41 (SD = 0.31) for clapper rails, and 0.97 (SD = 0.23) for Wilson's snipe, with uncertainty reflecting measurement error in survival rates. Although band‐recovery models can be successfully applied to small data sets (e.g., 300–3,000 total recoveries in our analyses), juvenile survival estimates lacked precision and annual variation was inestimable for most species, leading to considerable uncertainty for population modeling efforts. © 2016 The Wildlife Society.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".