Stage-specific vulnerability of Harmonia axyridis (Coleoptera: Coccinellidae) to intraguild predation
Bibliographic record
Abstract
The multicoloured Asian ladybeetle, Harmonia axyridis (Pallas), is a widespread invasive ladybird. It is considered a top predator among the aphidophagous coccinellids in North America and Europe; thus, it is supposed to be free from predation pressure by other members of the guild. Our study aims to evaluate the stage-specific vulnerability of H. axyridis to intraguild predation (IGP) by the indigenous Coleomegilla maculata lengi Timberlake and the invasive Propylea quatuordecimpunctata Linnaeus. We hypothesised that (1) H. axyridis stages will be less susceptible to IGP than the two other species, (2) vulnerability to IGP will decrease with the age of the larvae and (3) vulnerability to IGP will increase with increased weight difference between intraguild predator (IGPredator) and intraguild prey (IGPrey). Eggs, 1st and 2nd instars of H. axyridis were susceptible to IGP by both C. maculata and P. quatuordecimpunctata adults and larvae, but less vulnerable than the other beetles when facing the same IGPredator. Vulnerability to IGP for the three species was reduced with increased age of larvae and with decreased weight difference. Overall, H. axyridis was less vulnerable to IGP than the two other species, but the results confirm the fact that the status of IGPrey or IGPredator of H. axyridis will be determined by the stages of both species during the interactions.
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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".