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Record W6939827510 · doi:10.6084/m9.figshare.19935928

More time to fly: with a warming climate the Western honey bee (<i>Apis mellifera</i>, Linnaeus) now has more temperature-eligible flight hours than 40 years ago

2023· article· en· W6939827510 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2023
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsnot available
Fundersnot available
KeywordsHoney beeClimate changeGlobal warmingHoney BeesPEST analysisAir temperatureBeekeepingEffects of global warming

Abstract

fetched live from OpenAlex

There have been official NOAA and EPA reports of measurable changes in temperature across the United States over the last several decades with average temperatures increasing in most areas and decreasing in a few others. In order to fly, honey bees need optimal temperatures ranging from 13 °C (55 °F) to 38 °C (100 °F), sunlight, low wind, and no rain. This study looks at changes in temperature-eligible flight times of honey bees across the US and Canada. Four decades of weather data from 60 locations in the US and Canada for the period 1980 through 2019 were analyzed. We discovered that honey bee flight hours are increasing almost everywhere, but most dramatically in the northern regions of Canada and Alaska, and also in a few locations in the US south of the border with Canada. Warming temperatures (ignoring all other factors), may lead to more flight time for honey bees; may affect plant bloom times and species distributions; and may change the exposure of honey bee colonies to pests, parasites, and pathogens. Therefore, beekeepers must be prepared to modify management practices to accommodate possible plant–pollinator mismatches and timings for seasonal and pest management. This study highlights that a warming climate will increase temperature-eligible flight hours for honey bees. Further research is needed to consider how other climate change factors, in combination with temperature, will affect actual honey bee flight opportunities and behavior, as well as, overall colony management.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.482
Threshold uncertainty score0.958

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.226
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2023
Admission routes1
Has abstractyes

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