Data for: Reproductive life-history traits of the classical biological control agent Hypena opulenta (Lepidoptera: Erebidae): Using agent biology to support post release monitoring and establishment
Bibliographic record
Abstract
It is important to develop efficient and cost-effective methods for monitoring the establishment and fitness of biological control agents. Understanding how simple and obtainable measurements of insects or their body parts relate to reproductive life-history traits could facilitate assessing the fitness of biological control agent populations in the field. Across many insect taxa, female size represents a principal constraint on potential fecundity. Here, we investigate the relationship between pupal measurements and aspects of potential fecundity in Hypena opulenta (Lepidoptera: Erebidae), a recently released biological control agent against Vincetoxicum rossicum and V. nigrum (Apocynaceae) in Ontario Canada. We dissected adult H. opulenta females of different ages to assess their strategy of oogenesis by counting and measuring the number of eggs in their ovarioles and establishing the relationship between pupal measurements and potential fecundity. A second experiment was conducted to determine the relationship between pupal weight and adult longevity. While moths emerged with eggs in their ovarioles, oogenesis continued throughout the adult stage, and mean egg size increased with time after emergence. These observations place the moth closer to being an income breeder on the ovigeny index scale. We observed no significant relationship between pupal weight and total number of eggs; however, pupal weight was positively correlated with adult longevity. These results demonstrate the limited use of general size-fecundity relationships in post-release assessments for insects that are income breeders. However, they also highlight how the understanding of reproductive strategy in H. opulenta can provide important information to aid in its establishment and spread at release sites.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".