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Record W4416873043 · doi:10.1139/facets-2024-0151

Wild bee biodiversity in tallgrass prairie and oak savanna habitat in southern Ontario

2025· article· en· W4416873043 on OpenAlexafffundvenueabout
Janean K. Sharkey, Nigel E. Raıne

Bibliographic record

VenueFACETS · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsUniversity of Guelph
FundersWeston Family Foundation
KeywordsHabitatBiodiversityThreatened speciesAbundance (ecology)Vegetation (pathology)Species richnessEndangered species

Abstract

fetched live from OpenAlex

Tallgrass prairie and oak savanna support appreciable biodiversity and are among the most threatened habitats in Canada, yet little is currently known about which bee species occur in these habitats and how management might affect their abundance and diversity. Here, we ask how restoration and management practices in tallgrass prairie and oak savanna affect bee communities in southern Ontario. Bee communities, vegetation plots and environmental characteristics were sampled in remnant, burnt, restored, and naturalized sites at three localities. Although bee communities were markedly different at the three sampled localities (separated by at least 114 km) with only 19% of total species shared, consistent trends in bee community metrics among management types across localities were found. Remnant sites had lower abundance, species richness, and Shannon diversity than other management types in most cases. Greater canopy cover and more woody debris were associated with remnant and burn sites and greater floral abundance with restored sites. These research outcomes will have implications for restoration ecology, habitat management, and bee conservation in tallgrass prairie and oak savanna.

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 score0.908
Threshold uncertainty score0.960

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 head0.027
GPT teacher head0.195
Teacher spread0.168 · 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

Citations2
Published2025
Admission routes4
Has abstractyes

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