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Record W2091108786 · doi:10.4039/tce.2014.19

Rove beetles (Coleoptera: Staphylinidae) in Ontario, Canada soybean agroecosystems: assemblage diversity, composition, seasonality, and habitat use

2014· article· en· W2091108786 on OpenAlexaffabout
Adam Brunke, Christie A. Bahlai, Jan Klimaszewski, Rebecca H. Hallett

Bibliographic record

VenueThe Canadian Entomologist · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsNatural Resources CanadaCanadian Forest ServiceUniversity of Guelph
Fundersnot available
KeywordsEcologyBiologyVoltinismFaunaAgroecosystemOverwinteringHabitatPredationGrowing seasonLarvaAgriculture

Abstract

fetched live from OpenAlex

Abstract Rove beetles (Coleoptera: Staphylinidae) are recognised as important components of agroecosystems and are best known for their contribution to biological control as predators of arthropod pests. Unfortunately, knowledge of their bionomics in North American agroecosystems is sparse. Therefore, soybean-hedgerow agroecosystems in Ontario, Canada, were surveyed in 2009–2010 to identify common, widespread members of the assemblage and characterise their seasonal activity patterns. The potential for refuge habitat in adjacent hedgerows was assessed outside of the growing season. The rove beetle assemblage of soybeans during the growing season was found to be a less diverse subset of that found in surrounding hedgerow areas, especially with respect to native species. Both native and non-native species were common (>1% activity density). Based on literature records, most common species were predaceous, univoltine, and adult overwintering. Most common species exhibited the highest activity density midway through the growing season and all were detected in hedgerow habitats outside the growing season. Comparisons with the staphylinid fauna of other North American agroecosystems revealed several common species to dominate assemblages under a wide variety of conditions. This research provides a framework for future agroecological studies of this poorly understood, but abundant and diverse, assemblage of beetles.

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 score0.005
Threshold uncertainty score0.559

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 studies0.0010.000
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 head0.019
GPT teacher head0.194
Teacher spread0.175 · 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

Citations13
Published2014
Admission routes2
Has abstractyes

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