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Record W4375851672 · doi:10.12976/jib/2023.38.2.3

Moss-inhabiting beetles of the West Indies (Insecta: Coleoptera)

2023· article· en· W4375851672 on OpenAlexaff
A. S. Konstantinov, Andrés Baselga, Robert S. Anderson, Christopher E. Carlton, Vladimir I. Gusarov, Michael A. Ivie, Brittany E. Owens, Igor M. Sokolov, Alexey Tishechkin

Bibliographic record

VenueJournal of Insect Biodiversity · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsCanadian Museum of Nature
Fundersnot available
KeywordsMossCurculionidaeFaunaBiologyEcologyAbundance (ecology)Biological dispersalPopulation

Abstract

fetched live from OpenAlex

This study is the first attempt to assess the diversity of beetles (Coleoptera) in terrestrial moss cushions on three West Indian islands (Hispaniola, Jamaica, and Puerto Rico) based on 10 years of moss sampling in 18 localities. In total 1711 adult beetles were collected. They belong to 234 species from 30 families. The most species and specimen rich families are Staphylinidae (86 morphospecies and 1195 specimens), Curculionidae (61 morphospecies and 131 specimens), and Chrysomelidae (16 morphospecies and 185 specimens). In addition to basic bryobionts feeding on moss tissues, moss cushions host a diverse fauna of mycophagous and saprophagous Coleoptera together with predaceous species of beetles. Our results suggest that community composition in moss inhabiting beetles is determined both by geographical isolation processes and, to a lesser degree, by environmental variation across altitudinal gradients. This confirms that the greater relevance of geographical isolation is a common pattern in organisms with limited dispersal ability. Beetle abundance was not significantly related to either the volume of moss or the substrate. Despite being not significant (but close to), the observed trend was to higher beetle abundance in moss cushions collected on trees than in those collected on soil/rock. This may be resulting from the greater diversity of fungi and higher number of beetle fungivores associated with tree growing moss communities.

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)0.000
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 score0.014
Threshold uncertainty score0.483

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.031
GPT teacher head0.199
Teacher spread0.169 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

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