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Record W4412355426 · doi:10.24124/2025/30505

Prenatal reproductive success of an aerial insectivore, the tree swallow (Tachycineta bicolor)

2025· dissertation· en· W4412355426 on OpenAlexfundaboutno aff
Hannah Tench

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Northern British Columbia
KeywordsInsectivoreReproductive successBiologyZoologyEcologyGeographyPredationDemographySociologyPopulation

Abstract

fetched live from OpenAlex

,Worldwide, many avian species are declining as the effects of large-scale, anthropogenic pressures continue to rise. Prenatal mortality is potentially an important driver of demographic processes in animal populations, yet little is known about embryonic mortality in birds, despite extensive research into factors driving mortality in the nestling, fledgling, and adult life stages. Hatching failure in avian species is common, and because many species are globally declining, assessing the processes that operate during all life stages of individuals, including prenatally, is important to fully understand demographic changes. My thesis investigated hatching failure and prenatal reproductive success in tree swallows (Tachycineta bicolor), a member of the aerial insectivorous guild which is rapidly declining across North America. Using fluorescence microscopy to identify embryonic and sperm nuclei, I first determined that although 10.1% of eggs failed to hatch (excluding abandoned, broken, and depredated eggs), 98.3% to 100% of eggs from a population of tree swallows breeding on three sites near Prince George, British Columbia, Canada, were fertile, and that the majority of hatching failure was due to embryonic mortality, not infertility. Embryonic mortality was most likely to occur during early incubation before development was visible macroscopically. I then assessed extrinsic (e.g., environmental conditions) and intrinsic (e.g., female age) factors that influence egg mass and embryonic viability (i.e., survival of an embryo to hatching). Egg mass was positively correlated with laying order and the maximum temperature two days before egg laying, but was not predicted by female age; however, the assumption that heavier eggs are of higher quality may fail to account for the composition and concentrations of key resources for embryos in yolks. Embryonic viability increased with later clutch initiation dates, and was not significantly predicted by temperature, female age, egg mass, or laying order, and did not differ between study sites or years. Finally, I opportunistically examined maternal plasticity and prenatal reproductive success in response to a precipitous decrease in ambient temperature and associated rainfall (i.e., cold snap) during the egg laying period in one of the two years examined. Most females did not initiate incubation during the cold snap and nearly half of the females laying during the cold snap skipped at least one day of egg laying. While individual quality did not predict whether a female would have a laying skip, females with laying skips laid heavier eggs and larger clutches. Laying skips were not directly related to embryonic viability; however, laying skips and delayed incubation increase the lay-to-set interval of earlier-laid eggs, which may decrease hatching success. This study is the first to quantify fertility and developmental stages of embryonic mortality in tree swallows and provides opportunity for further investigation into factors contributing to hatching failure in aerial insectivores, especially as climate variability increases.

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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.270
Teacher spread0.258 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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