Effects of early growth conditions on body composition, allometry, and survival in the ladybird beetle Harmonia axyridis
Bibliographic record
Abstract
During both the larval and adult stages, the ladybird beetles Harmonia axyridis (Pallas, 1773) feed primarily on aphids, populations of which may fluctuate dramatically in time and space. Harmonia axyridis were reared under three resource treatments: high, low, and improving. We predicted that beetles experiencing consistently poor larval conditions would allocate limited resources to dispersal traits (by increasing relative wing surface area and fat storage), whereas larvae facing good or improving conditions were predicted to allocate preferentially to reproductive traits. As predicted, beetles reared at low food had lower wing loading and stored more fat than individuals reared at consistently high food. When conditions were initially poor but improved during development, body size was reduced relative to the high food treatment, though wing area scaled similarly. Allocation of fat and protein was dependent on both sex and treatment. Females in improving conditions stored less fat, and males less protein, relative to low food conditions. This is suggestive of a trade-off between reproduction and dispersal that is resolved differently between the sexes. Unexpectedly, adult survival under starvation was not appreciably affected by larval growth conditions, although males lived about 10 days longer, on average.
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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 | 0.000 | 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) | 0.000 | 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".