Egg hatch of forest tent caterpillar (Lepidoptera: Lasiocampidae) on two preferred host species
Bibliographic record
Abstract
Abstract Synchrony between herbivore and host phenology can be an important factor in herbivore fitness. The survival of first-instar forest tent caterpillar (FTC) (Malacosoma disstria Hübner; Lepidoptera: Lasiocampidae) larvae and performance of surviving larvae are reduced when egg hatch and host budbreak are asynchronous. Budbreak in trembling aspen (Populus tremuloides Michaux; Salicaceae) and largetooth aspen (Populus grandidentata Michaux; Salicaceae), two preferred hosts of FTC, differ by ∼14 days. We examined the phenological requirements of FTC egg hatch to see if an inherent difference exists between FTC egg masses on the two hosts, and if the difference would promote synchrony with each host. Egg masses from a haphazard selection of clones of each host were collected in a mixed stand of trembling and largetooth aspen in New Brunswick, Canada. Egg masses were subjected to controlled temperature regimes in the laboratory, and hatch was monitored daily. Despite the differences in host phenologies and the obvious benefits of being synchronised with host phenology, egg masses collected from trembling aspen began hatching only 3 days earlier, and completed hatching only 2 days earlier, than egg masses collected from largetooth aspen. Bet hedging is discussed as a possible strategy to explain the absence of host-specific synchrony between egg hatch of FTC and the hosts it selects for oviposition.
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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".