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Record W2169056163 · doi:10.1603/en13145

Effects of Pitfall Trap Lid Transparency and Habitat Structure on the Catches of Carabid Beetles (Coleoptera: Carabidae) in Tame Pasture

2014· article· en· W2169056163 on OpenAlexaff
Aaron J. Bell, Iain D. Phillips, Kevin D. Floate, Brittney M. Hoemsen, Colin E. Phillips

Bibliographic record

VenueEnvironmental Entomology · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsTrap (plumbing)OpacityBiologyPastureVegetation (pathology)Transparency (behavior)EcologyHabitatEnvironmental sciencePhysics

Abstract

fetched live from OpenAlex

Captures of insects in pitfall traps are affected by features of trap design that may confound the interpretation of data. One such feature is a lid suspended over the opening of the trap to exclude debris and rainwater. In this study, we tested whether use of these lids affected captures of carabid beetles by altering the light conditions at the opening to the trap. In one experiment, we examined the effects of lid transparency (opaque, semitransparent, or transparent) on catch rates. In a second experiment, we manipulated the heights (high, medium, or low) of vegetation adjacent to the traps to test for lid transparency and vegetation height interactions. We found that significantly more carabids were captured with use of transparent lids compared with other lid transparencies. Fewest Agonum cupreum Dejean, 1831, were captured with use of opaque lids. No other effects were detected. Given these results, we advocate the use of transparent lids, which provide the benefits of traditional opaque lids while minimizing the effects of lid use on light conditions at the opening to the trap.

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 score0.098
Threshold uncertainty score0.185

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 head0.005
GPT teacher head0.160
Teacher spread0.155 · 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

Citations11
Published2014
Admission routes1
Has abstractyes

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