Female mating frequency increases with temperature in two cricket species, Gryllodes sigillatus and Acheta domesticus (Orthoptera: Gryllidae)
Bibliographic record
Abstract
Although the effect of temperature on calling song of male crickets has been widely studied, its influence on female mating behaviour remains largely unexplored. We examined the effect of varying temperature on female mating frequency in two cricket species ( Gryllodes sigillatus (F. Walker, 1869) (= Gryllodes supplicans (F. Walker, 1859)) and Acheta domesticus L., 1758) by providing females with multiple mating partners and recording the number of matings over 72 h intervals using time-lapse video recording. Female mating frequency increased with temperature in both species, but increased more steeply in A. domesticus than in G. sigillatus. Temperature accounted for approximately 50% of the variation in female mating frequency. These results suggest that the threshold for mating in females is temperature dependent, such that at lower temperatures only certain males are able to elicit the female mounting response required for successful mating. If temperature affects female selectivity, then male mating success in different seasons may vary, with a wider range of males gaining the opportunity to copulate at warmer times of the year. Consequently, the intensity of sexual selection may vary seasonally.
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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 | 0.001 |
| 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".