Biology of the gumleaf skeletoniser, <i>Uraba lugens</i> Walker (Lepidoptera: Noctuidae), in the southern jarrah forest of Western Australia
Bibliographic record
Abstract
Abstract The biology of Uraba lugens Walker, gumleaf skeletoniser (GLS), in the southern jarrah ( Eucalyptus marginata Donn ex Smith) forest of Western Australia is examined with respect to: (1) distribution of egg rafts and larvae in the host canopy; (2) survival on different food plants; (3) phenology; (4) mortality; and (5) fecundity. Limited preference for height was found for eggs and larvae within the jarrah canopy. Both jarrah and marri ( Corymbia calophylla (Lindl.) K.D. Hill and L.A.S. Johnson) were intermediate hosts within the host range for GLS when compared with more preferred hosts from eastern Australia. A simulation model, used to determine phenology, showed GLS to be bivoltine in Perth and univoltine in the southern jarrah forest near Manjimup, with capacity for the univoltine form to change to a bivoltine cycle following two consecutive warm winters. Six parasitoids were isolated from populations in south‐west Western Australia. The eulophid Euplectrus sp. and an unknown mortality agent were the predominant causes of the population decline in 1988, following an outbreak during 1982–88. Fecundities were significantly different between the outbreak and non‐outbreak periods. Furthermore, fecundity for the southern jarrah forest population was significantly higher than measured fecundities of bivoltine South Australian populations.
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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 | 0.001 | 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".