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Record W4405535645 · doi:10.11646/zootaxa.5555.3.3

Looking Into the Abyss—How Many Species of Biting Midges (Diptera: Ceratopogonidae) Are There? Their Remarkable Diversity in Costa Rica and Elsewhere

2024· article· en· W4405535645 on OpenAlexaff
Art Borkent, Gustavo R. Spinelli, Florentina Díaz, Dirk Steinke, Kate Perez, Elisabeth Stur, Winnie Hallwachs, Daniel H. Janzen

Bibliographic record

VenueZootaxa · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicVector-Borne Animal Diseases
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBiologyCeratopogonidaeEcologyEndemismPhyletic gradualismGlobal biodiversitySpecies diversityNymphalidaeBiodiversityButterflyPhylogenetic tree

Abstract

fetched live from OpenAlex

The biting midges (Ceratopogonidae) are one of the most species-rich families of insects on the planet with over 6,200 named species. However, their true diversity is unknown and this paper is the first to address the question. Our systematic study of the family in Costa Rica indicates that 192 species were present in a four hectare area of cloudforest at Zurquí de Moravia, at 1,600 m after a year of intensive sampling. Combined with a collection from a single Malaise trap at Tapantí for one year, about 40 kms away and also at 1,600 m, the total was 245 species with significant differences between the two areas and with the strong majority unnamed. This compares to 430 named species for all of Costa Rica and 1,314 for the entire Neotropical Region. Barcoding of 221,407 specimens from Costa Rica similarly indicates large numbers of unnamed species with 4,023 BINs present. On this basis, we project at least 5,000 species in Costa Rica and using ratios of named species here and elsewhere, we suggest that nearly 73,000 are present worldwide. Details from Malaise traps in the Área de Conservación Guanacaste also indicate various levels of endemism. Samples from Bolivia support an interpretation of high diversity. The diversification of the family was examined by comparing phyletic lineages, rather than merely comparing numbers of species in various genera, providing insight as to why some lineages are more diverse than others. Zoogeographic patterns of named species suggest stronger southern connections for Costa Rican Ceratopogonidae in both cloudforest habitats as well as the country as a whole, although many are also more broadly distributed north and south of the country. Comparisons between various collecting methods at Zurquí de Moravia indicate the efficacy of Malaise traps but also the importance of light traps and other methods in sampling adults of Ceratopogonidae. Phenological data from the Malaise traps in the Área de Conservación Guanacaste suggest some patterns of emergence of adults in Costa Rica, the first for any tropical country anywhere.

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 score0.114
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

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

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 head0.023
GPT teacher head0.210
Teacher spread0.188 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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