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Record W1855587625 · doi:10.1139/cjz-2015-0077

Regionally widespread parasitic water mites have relatively broad host-species ranges

2015· article· en· W1855587625 on OpenAlexafffundvenueabout
Julia J. Mlynarek, Wayne Knee, Bruce P. Smith, Mark R. Forbes

Bibliographic record

VenueCanadian Journal of Zoology · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicStudy of Mite Species
Canadian institutionsAgriculture and Agri-Food CanadaCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyRange (aeronautics)Host (biology)EcologyCladeHabitatAbundance (ecology)Species complexZoologyDNA barcodingPhylogenetic tree

Abstract

fetched live from OpenAlex

Certain parasite species have free-living stages, so habitat range may influence host-species range. We tested whether regional occurrence and habitat use of parasitic water mites were related to their host-species range. We collected 7445 Arrenurus Dugès, 1834 mites from 7107 coenagrionid damselflies, representing 11 host species from 13 sites in southeastern Ontario and southwestern Quebec. Because larval water mites are difficult to identify morphologically to species, we chose to amplify the barcode fragment of cytochrome oxidase subunit I to explore host-species ranges. Fifteen operational taxonomic units or clades were identified based on the amplification from 217 larval mites. The Arrenurus clades that were present in both bog and marsh habitats had a broader host-species range than clades found only in marshes (the comparison with one clade found only in bogs lacked statistical power). As predicted, host-species range increased with the regional occurrence of an Arrenurus clade. Additionally, the most commonly barcoded species also have high host-species ranges. This result could be because species with broader host-species ranges are more common and were more likely to be sampled and barcoded (an explanation we favor), or due to sampling bias. Although this is the first study exploring whether habitat range affects host-species range, further investigation is needed to tease apart which habitat factors influence host-species ranges the most.

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 score0.187
Threshold uncertainty score0.926

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)0.0010.000

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 head0.051
GPT teacher head0.222
Teacher spread0.171 · 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

Citations9
Published2015
Admission routes4
Has abstractyes

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