Female intrasexual reproductive competition in the facultatively polygynous song sparrow
Bibliographic record
Abstract
Reproductive competition among females is an under-studied aspect of behavioural ecology. In species where males provide non-sharable resources that enhance individual and offspring fitness, such as feeding young, intrasexual conflict among females should be expected. My thesis examined reproductive competition among female song sparrows by estimating the reproductive costs of losing male care and behavioural strategies females employed to avoid the loss of male care. I used a long-term study of song sparrows, a facultatively polygynous passerine, on Mandarte Island, British Columbia Canada, to examine the potential reproductive and survival costs that polygyny might have on females. I found that polygynous females without male care experienced lower nest and lifetime reproductive success than polygynous females with male care. In contrast, female status within polygynous groups had no impact on overwinter survival. Three strategies that females might use to avoid polygyny or ensure access to male parental care while in polygyny include 1) intrasexual aggression to deter secondary females from settling, 2) infanticide of primary female’s nest by secondary females to improve nesting status or 3) nest timing to either increase the comparative worth of the nest through synchrony, or eliminate competition for male care through asynchrony. Using a mount presentation experiment I found that resident females reacted as predicted if intrasexual aggressive behaviour was used to deter secondary female settlement and ensure male parental care. Over 18 years when polygyny occurred in the population, I found evidence that the presence of secondary females was correlated with a rise in the nest failure rate of primary females, but I found no evidence that polygynous females used nest timing strategies to influence access to male care. Overall, my results suggest that female song sparrows use aggressive behaviours to reduce secondary female settlement, and within polygynous groups secondary females may use infanticide to advance their status. Despite the existence of female strategies to circumvent the loss of fitness due to polygynous mating, polygyny still occurred regularly in the population. This observation suggests that the strategies described above are often not effective, or that their costs outweigh the potential gains to individual fitness.
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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".