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Record W4223513818 · doi:10.1002/jwmg.22223

Survival and mortality of green‐winged teal banded on the Yukon‐Kuskokwim Delta, Alaska

2022· article· en· W4223513818 on OpenAlexfundaboutno aff
Jordan M. Thompson, Thomas V. Riecke, Bryan L. Daniels, Kyle A. Spragens, Melissa L. Gabrielson, Christopher A. Nicolai, Benjamin S. Sedinger

Bibliographic record

VenueJournal of Wildlife Management · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
FundersU.S. Forest ServiceU.S. Geological SurveyU.S. Fish and Wildlife ServiceDelta WaterfowlCalifornia Department of Fish and WildlifeWashington Department of Fish and Wildlife
KeywordsJuvenileDemographyDeltaBiologyAnimal scienceEcology

Abstract

fetched live from OpenAlex

Abstract Despite the importance of green‐winged teal (Anas crecca) as a harvested species in North America, recent information on variation in vital rates among regions is lacking. We used band recovery data and hierarchical autoregressive models to examine temporal and age‐sex‐class variation in survival, hunting mortality, and nonhunting mortality probabilities of green‐winged teal banded at Kgun Lake on the Yukon‐Kuskokwim Delta, Alaska, USA, from 1997–2019. We used data from 10,554 adult and juvenile green‐winged teal of known sex and age banded and released at Kgun Lake, and 1,245 hunter recoveries. Estimates of annual survival probability for adult females and males ranged from 0.44 (95% CI = 0.29–0.54) to 0.49 (95% CI = 0.37–0.68) and 0.56 (95% CI = 0.50–0.61) to 0.58 (95% CI = 0.50–0.64), respectively, during our study period. Estimates of annual survival probability for juvenile females and males ranged from 0.36 (95% CI = 0.18–0.56) to 0.46 (95% CI = 0.31–0.71) and 0.51 (95% CI = 0.38–0.61) to 0.56 (95% CI = 0.44–0.71), respectively. Hunting mortality probability was greatest for juvenile males and least for adult females. Hunting mortality probability of juvenile males increased from 0.09 (95% CI = 0.05–0.13) in 1997 to 0.14 (95% CI = 0.11–0.18) in 2015. Nonhunting mortality probability was greater and more variable than hunting mortality probability for all age‐sex classes, indicating nonhunting mortality contributed most to total mortality of green‐winged teal banded at Kgun Lake during our study. Additionally, survival probability of female green‐winged teal banded at Kgun Lake is less than published estimates for green‐winged teal banded in the boreal forest of Alaska. We recommend continuing consistent banding operations for green‐winged teal on the Yukon‐Kuskokwim Delta and other important breeding areas to further understand factors influencing nonhunting mortality and how they may vary seasonally and geographically.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.022
GPT teacher head0.248
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2022
Admission routes2
Has abstractyes

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