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Record W2146766351 · doi:10.1603/en12008

Locomotor Response of<i>Folsomia candida</i>(Collembola: Isotomidae) to Cooling Temperatures

2012· article· en· W2146766351 on OpenAlexafffund
Gilles Boiteau, Pamela MacKinley

Bibliographic record

VenueEnvironmental Entomology · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect and Arachnid Ecology and Behavior
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsBiologySpringtailFreezing pointHorticultureHardiness (plants)BotanySupercoolingAnimal scienceCold toleranceEcology

Abstract

fetched live from OpenAlex

Groups of Folsomia candida (Willem) were chilled to 0°C and warmed back to room temperature to measure their locomotor response to cooling and determine the chill coma temperature of the species. Results showed that the frequency of walking springtails, in groups being chilled down to 0°C, was initially similar to that of control groups held at room temperature before consistently declining to chill coma thresholds well above the freezing point. Body size had a significant effect on response to chilling but not to recovery. Jumping, in groups being chilled, was absent from tests conducted in humid arenas but an important part of the locomotor response in dry arenas. Chill coma thresholds were higher in dry than in humid arenas. In a 4-33°C thermal gradient, warm-acclimated and cold-acclimated springtails distributed themselves over the whole gradient, but with a preference for sections at 8-11 and 5-8°C, respectively. Together, test results did not support the hypothesis that, for F. candida, locomotion is the main strategy to avoid cold temperatures. Results suggest that F. candida remain in the upper soil layers as the season becomes colder and increase their cold tolerance to continue foraging in the food-rich upper soil layers. Survival of the species to freezing temperatures may depend more on development of cold tolerance and cold hardiness (supercooling) than on relocation to warmer deeper soil layers.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.687

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 head0.006
GPT teacher head0.234
Teacher spread0.229 · 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 designBench or experimental
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

Citations15
Published2012
Admission routes2
Has abstractyes

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