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Record W2940734669

Thermal biology of temperate and high-latitude arachnids

2019· article· en· W2940734669 on OpenAlexaboutno aff
Susan E. Anthony

Bibliographic record

VenueScholarship@Western (Western University) · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsTemperate climateLatitudeEcologyBiologyPhysicsAstronomy
DOInot available

Abstract

fetched live from OpenAlex

Temperate and high latitude terrestrial ecosystems have high thermal variability, and the ectotherms that inhabit these regions must have thermal tolerances that mirror these temperatures. However, the thermal limits of many high-latitude arachnids are unknown, as well as any underlying mechanisms of seasonal plasticity for any arachnid. The objective of my thesis is to measure the thermal tolerances of temperate, Arctic, and sub-Arctic arachnids, and identify if they have thermal plasticity, either seasonally or following acclimation. I collected the high-latitude pseudoscorpion Wyochernes asiaticus streamside from the Yukon Territory, where besides large thermal variability, they are also inundated with spring flooding. I also collected a variety of wolf spiders (Genus Pardosa) in the Yukon, Greenland, and Norway, where they are abundant and active on the tundra in the Arctic summer. In the lab, half of the of the air-exposed and low oxygen water-submerged pseudoscorpions survived for 17 days; showing that they are likely adapted to seasonal flooding. The pseudoscorpions and spiders I collected in the summer have thermal tolerances (the low and high temperatures at which activity stops) that range from -6°C in both pseudoscorpions and spiders, to 37.8°C (in pseudoscorpions) and 45°C (in spiders). Following 4°C-acclimation, the spiders did not show an ecologically significant change in their thermal tolerance breadths (Tbr, the difference between their low- and high-temperature tolerance), potentially because their Tbr is large enough to remain active during summer temperatures. I collected the temperate and freeze-tolerant red velvet mite in late fall, mid-winter, and early spring to compare their lower lethal temperature, and potential mechanisms associated with cold-tolerance. In mid-winter, the hemolymph osmolality and glycerol content increases, and water content decreases: all likely cryoprotectant mechanisms. Temperate red velvet mites show seasonal acclimatization resulting in freeze-tolerance, the first evidence of freeze-tolerance in microarthropods.

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 score0.002
Threshold uncertainty score0.547

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 head0.040
GPT teacher head0.243
Teacher spread0.203 · 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
Published2019
Admission routes1
Has abstractyes

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