Survival and Reproductive Success of Crested Auklets Aethia Cristatella in the Presence of Introduced Norway Rats Rattus Norvegicus
Bibliographic record
Abstract
Survival and reproductive success of Crested Auklets Aethia cristatella in the presence of introduced Norway rats Rattus norvegicus.Marine Ornithology 41: 41-47.Introduced predators, including Norway rats Rattus norvegicus, can have devastating effects on island avifauna.Nevertheless, at Kiska Island in the Aleutian Islands, one of the largest auklet colonies in Alaska, Least Auklets Aethia pusilla and Crested Auklets A. cristatella appear to be persisting in the presence of introduced Norway rats.We gathered information on annual reproductive success and adult survival of Crested Auklets at Kiska during 2001-2010 and compared these demographic rates with those of Crested Auklets at rat-free Buldir and Kasatochi Islands in the Aleutian Islands.Although those on Kiska frequently had the lowest reproductive success among the islands in a given year, we did not detect a statistically significant mean difference with our relative small samples from Kiska.Restricting the analysis to years when rats were abundant at Kiska (2001Kiska ( -2002)), Crested Auklets on Kiska had lower reproductive success than those on rat-free islands.Adult survival at Kiska declined through our study period and was estimated at <80% near the end of our study.The data we gathered provides the basis for a more detailed study in the future to more clearly determine the impacts of introduced Norway rats on Crested Auklet populations at Kiska.
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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 | 0.000 |
| 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 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".