Updated checklist of the fireflies (Coleoptera: Lampyridae) of Mexico
Bibliographic record
Abstract
An updated checklist of fireflies (Coleoptera: Lampyridae) from Mexico is presented. The checklist includes the following valid taxa: the subfamilies Amydetinae Olivier in Wytsman, 1907, Chespiritoinae Ferreira, Keller and Branham, 2020, Photurinae Lacordaire, 1857, Pterotinae LeConte, 1861, and Lampyrinae Rafinesque, 1815, in addition to 8 tribes (including incertae sedis), 2 subtribes, 25 genera, and 232 species. We also propose Photinus cubilguitzi Prez-Hernndez Zaragoza-Caballero nom. nov. as a replacement name for Photinus moestus (Gorham, 1884) nec Photinus moestus (Perty, 1830). At least 152 documented species (65.6% of the total) are restricted to Mexico, another 21 have also been recorded in Canada and the United States of America, and 59 in different Latin American countries. Remarkably, Photinini contains 64.6% (150 species) of the Mexican lampyrid fauna, and at least 54.7% (127 species) belong to the Photinus genus. The Mexican Transition Zone had higher Lampyridae species richness and endemism than the Nearctic and Neotropical biogeographic regions in the country, while the Transmexican Volcanic Belt, Veracruzan and Balsas Basin biogeographic provinces harbor the highest overall species richness and endemism. Veracruz and Oaxaca are the richest states in terms of lampyrid genera and species, while Aguascalientes, Quertaro and Zacatecas have only one or no species recorded each. To date, 10% of the global firefly fauna has been recorded in Mexico, and the country has a large number of endemic species. It is essential to intensify the study and fieldwork throughout the country to increase our knowledge of the group, with special focus on poorly explored regions and endemic species, and from other perspectives in addition to taxonomy.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 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".