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Record W4410278819 · doi:10.11646/zootaxa.5633.2.3

The leaf-miner flies (Diptera: Agromyzidae) of Costa Rican cloud forests

2025· article· en· W4410278819 on OpenAlexaff
Stéphanie Boucher, Art Borkent, Brian V. Brown

Bibliographic record

VenueZootaxa · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsRoyal British Columbia MuseumMcGill University
Fundersnot available
KeywordsAgromyzidaeBiologyLeaf minerCloud forestPuerto ricanEcologyZoologyLarvaMontane ecologyAnthropology

Abstract

fetched live from OpenAlex

Cloud forests are known as important reservoirs of biodiversity and species endemism, but they are also one of the most threatened of tropical ecosystems. This study investigates the leaf-miner flies (Diptera: Agromyzidae) collected over a period of one year at three different cloud forest localities in Costa Rica, as part of the Zurqu All Diptera Biodiversity Inventory (ZADBI). A total of 976 specimens of Agromyzidae was collected, resulting in the identification of 158 species (or morphospecies). This number is surprisingly high, considering that only 65 species of Agromyzidae were previously recorded in Costa Rica. Most of the species were collected from the main site (Zurqu de Moravia) and only six species were collected at all three sites. Most of the species were collected from a Malaise trap set-up near a forest-edge at the main site, but the more limited sampling at the other two sites added some unique species and one unrecorded genus (Haplopeodes Steyskal) for Costa Rica. Of the 14 previously recorded Neotropical genera of Agromyzidae, 12 were sampled at the cloud forest sites, in addition to the genus Metopomyza Enderlein, previously unreported from the Neotropical Region. The 26 species of the genus Phytoliriomyza Hendel are noteworthy as only 28 congeneric species were previously reported for the entire Neotropical Region. We also discuss the presence of two predominantly northern temperate genera, Phytomyza and Metopomyza, at these sites. Additionally, taxonomic discussion and geographical distributions are provided for the following species: Agromyza fusca Spencer, Calycomyza dominicensis Spencer, Calycomyza meridiana (Hendel), Japanagromyza sasakawai Monteiro, Carvalho-Filho & Esposito, Liriomyza archboldi Frost, Melanagromyza wedeliae Spencer. Finally, we provide comments and a few illustrations for a selection of newly identified species (Cerodontha (Dizygomyza) n.sp.; Liriomyza n.sp.; Haplopeodes ZADBI-1; Cerodontha (Cerodontha) ZADBI-8; Metopomyza ZADBI-4, Phytomyza ZADBI-3). The high species richness and the discovery of several potentially endemic species, support the importance of conservation efforts of these fragile ecosystems.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.219
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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