Effects of Larval Host Plant Species on Fecundity of the Generalist Insect Herbivore<i>Ennomos subsignarius</i>(Lepidoptera: Geometridae)
Bibliographic record
Abstract
The elm spanworm, Ennomos subsignarius Hübner (Lepidoptera: Geometridae), is an eruptive herbivore that feeds on numerous tree species in forests throughout its range. An unprecedented outbreak in an urban environment in St. John's, Newfoundland, Canada, caused severe levels of defoliation to a number of native and exotic hardwood tree species, some of which represent novel hosts for this insect. Increased insect performance on these novels hosts was hypothesized as having contributed to the outbreak. To assess this, percentage larval survival and pupal weight were measured for larvae reared on foliage from six different tree species in a no-choice laboratory bioassay. Adult longevity and fecundity (no. eggs laid per female) were assessed for laboratory-reared individuals, as well as for pupae collected from eight different host tree species from the field. A survey to assess feeding occurrence measured defoliation on eight tree species. During this urban outbreak, sycamore maple, Acer pseudoplatanus, a tree species not native to North America, experienced the highest levels of defoliation. Performance of E. subsignarius (pupal weight, female longevity, and fecundity) on this host was comparable with the known host of elm (Ulmus spp.). Despite the fact that E. subsignaria performed well on several introduced hosts, fecundity levels were much lower than previously published reports, suggesting that the current outbreak is not caused by increased fecundity on these novel hosts in contrast to the hypothesis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".