New World geometrid moths (Lepidoptera: Geometridae): Molecular phylogeny, biogeography, taxonomic updates and description of 11 new tribes
Bibliographic record
Abstract
We analysed a molecular dataset of 1206 Geometroidea terminal taxa. In this paper we focus on New World taxa, with 102 Nearctic terminal taxa (97 of which have not previously been subject to molecular phylogenetic analysis) and 398 Neotropical terminal taxa (375 not previously analysed). Up to eleven molecular markers per specimen were included: one mitochondrial (COI) and ten proteincoding nuclear gene regions (Wingless, ArgK, MDH, RpS5, GAPDH, IDH, Ca-ATPase, Nex9, EF-1alpha, CAD). The data were analysed using maximum likelihood approach as implemented in IQ-TREE and RAxML. Photographs of almost all voucher specimens are provided together with relevant type material in illustrated electronic catalogues in order to make identities and taxonomic changes transparent. Our analysis concentrates on the level of tribes and genera, many of which are shown to be para-or polyphyletic. In an effort towards a natural system of monophyletic taxa, we propose taxonomic changes: We establish 11 new tribe names (Larentiinae, authors Brehm, Murillo-Ramos & Ounap): Brabirodini new tribe, Chrismopterygini new tribe, Psaliodini new tribe, Pterocyphini new tribe, Rhinurini new tribe, Ennadini new tribe, Cophocerotini new tribe, Erebochlorini new tribe; (Ennominae, authors Brehm, Murillo-Ramos & Sihvonen): Euangeronini new tribe, Oenoptilini new tribe, Pyriniini new tribe. We assign 27 genera for the first time to a tribe, propose 29 new tribe assignments and 26 new generic combinations, we synonymize one tribe and seven genera, revive one tribe, and propose to exclude 119 species from non-monophyletic genera (incertae sedis). Our study provides the data and foundation for numerous future taxonomic revisions of New World geometrid moths. We also examine broad-scale biogeographic patterns of New World Geometridae: While Nearctic species are often nested within the predominantly Neotropical clades, the austral South American fauna forms distinct clades, hinting at a long isolation from the remaining New World fauna. (Less)
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".