Influences on male reproductive success in long-lived Blanding’s Turtles (<i>Emydoidea blandingii</i>)
Bibliographic record
Abstract
Knowing how the number and qualities of mates influence male reproductive success (RS) can help interpret mating-system dynamics that are important for conservation efforts. We combined parentage data (1999–2006) with data from a long-term life-history study (1953–2007) of Blanding’s Turtles (Emydoidea blandingii (Holbrook, 1838)) on the University of Michigan’s E.S. George Reserve to document the relative influence of mate number and quality on male RS. Blood samples were taken from >92% of resident adults and tissue samples were taken from 723 hatchlings from 92 nests of 54 females over eight nesting seasons. The incidence of multiple paternity averaged 41.6% (N = 77), was variable among years (minimum–maximum = 15.4%–55.6%), and was positively associated with female age, body size, and clutch size. Repeat paternity was observed in 69.9% of sequential clutches of the same female separated by 1–7 years. Male RS was variable (1–40 offspring) and was positively associated with the number of mates and clutches sired. The youngest male to sire offspring was 22 years old. Adult movements that result in encountering different mates and (or) the ability to use attributes (e.g., size or age) to identify high-quality mates have the potential to substantially increase RS.
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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 | 0.001 | 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 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".