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Record W4410116377 · doi:10.53749/fem.2025-11-05

THE FAUNAL AND SEASONAL COMPOSITION OF THE COMMUNITY OF APIONINAE (COLEOPTERA: BRENTIDAE) IN THE TROPICAL RAINFOREST OF THE SIERRA EL MADRIGAL IN STATE OF TABASCO, MEXICO

2025· article· en· W4410116377 on OpenAlexaff
Manuel Alberto Hernández-May, Esbeidy Jazmín De la O-López, Aracely De la Cruz-Pérez, Jesús Luna-Cozar, Robert S. Anderson

Bibliographic record

VenueFolia entomológica mexicana · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicScarabaeidae Beetle Taxonomy and Biogeography
Canadian institutionsCanadian Museum of Nature
Fundersnot available
KeywordsRainforestGeographyTropical rainforestEcologyForestryBiology

Abstract

fetched live from OpenAlex

Apioninae (Coleoptera: Brentidae) are beetles commonly known as seed or clover weevils, and all species are phytophagous and important in natural ecosystems. The main objective of this study was to record the faunal and seasonal composition of the Apioninae community in the tropical rainforest of Tabasco, Mexico. Sampling was carried out in 12 sites of the ecosystem during an annual cycle (January-December, 2021), using the method of beating the vegetation with an entomological net. We collected 1,191 specimens belonging to 33 species and nine genera. Apion panamense Sharp, Coelocephalapion accentor (Kissinger), C. iteratum (Kissinger) and Neapion cretaceicolle (Sharp) are new records for Tabasco. The genus Trichapion (Wagner) was the most species-rich. Apionion sp2 was the most abundant species. The highest richness, abundance and diversity (0D, 1D and 2D) were recorded during the dry season. Fourteen species showed marked seasonality, of which 12 species were recorded only in the dry season and two in the north. Fluctuations in richness and abundance showed its maximum peak in April, the month with the lowest rainfall. Shaded sites had the highest richness (32 species) and abundance (861 individuals). This study contributes to the knowledge of Apioninae by providing new ecological information on the subfamily. However, further studies of these beetles are needed to determine their geographic distribution and systematics.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.011
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 teacher head, 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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