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Record W7091027953 · doi:10.6084/m9.figshare.21175564

Data from "Vulnerability of alpine butterfly eggs to early winter warming"

2025· dataset· en· W7091027953 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2025
Typedataset
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsnot available
Fundersnot available
KeywordsOverwinteringPopulationEctothermGlobal warmingSnowClimate changeLarvaButterflyCold winter

Abstract

fetched live from OpenAlex

Metadata are provided in each data sheet. Refer to manuscript for full details.Parnassius smintheus is an alpine butterfly that overwinters as a first-instar caterpillar within its egg and often beneath the snow. While extreme temperatures in early winter appear pivotal to year-to-year population change of P. smintheus in the Rocky Mountains of Canada, the sources of mortality for these eggs are unclear. Here we tested three hypotheses about the vulnerability of eggs to warming and extreme weather in early winter (i.e. upper quartile of daily maximum and minimum microclimate temperatures in November): (1) warming disrupts the acquisition of cold tolerance, making eggs susceptible to subsequent cold snaps; (2) warming drives premature development and hatch, such that precocious hatchlings either starve or freeze; and (3) warming depletes the energy stores of dormant eggs. We then used these hypotheses to guide a simulation of the risk of winter mortality for eggs over the last half-century (1971 – 2020) in the Rocky Mountains of Canada. Early winter warming did not interrupt the acquisition of cold tolerance by freeze-avoidant eggs. Eggs did risk lethal freezing in simulated winters when extreme low temperatures coincided with an absence of snow cover. Early winter warming increased the risk of subsequent hatching, and precocious larvae were less cold-tolerant than eggs. Our simulation found that precocious larvae risked freezing during snow-free cold snaps in spring. Early winter warming did not appreciably drawdown energy stores, and we found that P. smintheus could not only fuel overwintering but tolerate several days of starvation after hatch. We conclude that eggs risk precocious development after early winter warming and are likely vulnerable in winters that lack persistent snow cover. Together, these sources of winter mortality may explain year-to-year change in P. smintheus populations. Identifying unidirectional thresholds, such as hatching and freezing, may be important for predicting the susceptibility of some alpine insects to future winter warming.Kurtis F. Turnbull1†, Alkistis Elliott-Graves2,3, Susan E. Anthony1, Jens Roland4, Stephen F. Matter4,5 and Brent J. Sinclair1,61Department of Biology, University of Western Ontario, London, ON, N6A 5B7, Canada2The Rotman Institute of Philosophy, University of Western Ontario, London, ON, N6A 5B7, Canada3Present address: Department of Philosophy, Bielefeld University, P.O. Box 100131, D-33501 Bielefeld, Germany4Department of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada5Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, 45221-0006, USA6Present address: Department of Entomology, Cornell University, Ithaca, NY 14853, USA†Corresponding author: Brent J. Sinclair, Department of Entomology, Comstock Hall, 129 Garden Ave, Ithaca, NY 14853, USA. Email: bjs299@cornell.edu; telephone +1-607-255-6413.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.267
Threshold uncertainty score0.530

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0330.009

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 head0.070
GPT teacher head0.310
Teacher spread0.240 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2025
Admission routes1
Has abstractyes

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