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Record W4387158193 · doi:10.1649/0010-065x-77.3.341

Forest Habitat Characteristics Associated with Simplocaria metallica (Sturm) and Other Pill Beetle Species (Coleoptera: Byrrhidae) in Northern Alberta, Canada

2023· article· en· W4387158193 on OpenAlexaffabout
J. A. Colin Bergeron, Iain D. Phillips, John R. Spence

Bibliographic record

VenueThe Coleopterists Bulletin · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsUniversity of AlbertaUniversity of SaskatchewanWater Security Agency
Fundersnot available
KeywordsBlack spruceEcologyTaigaHabitatBorealPeatScots pineBryophyteGeographyForestryBiologyBotany

Abstract

fetched live from OpenAlex

Despite close and potentially interesting associations between pill beetles (Coleoptera: Byrrhidae) and bryophytes on which they are obligate feeders, little is known about byrrhid ecology in Canadian forests. To determine the extent to which boreal forest stands support populations of pill beetles, we established a systematic sampling grid of 200 sampling sites covering 82 km2 of boreal mixedwood forest in northwestern Alberta. We found that byrrhid species, especially Simplocaria metallica (Sturm), occur in association with stands of small black spruce (Picea mariana (Mill.) BSP; Pinaceae) subject to frequent disturbances. The habitat occupied by black spruce in this part of the boreal forest also includes potential bryophyte hosts of several pill beetle species. Our findings suggest that pill beetles can be used as indicators of disturbances such as fire, harvest, gravel pit construction, and road ditching. They seem to flourish in frequently disturbed forested habitats such as peat bogs and taiga forest that provide arid environmental conditions similar to arctic or alpine environments.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score1.000

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 head0.007
GPT teacher head0.179
Teacher spread0.172 · 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.

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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

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