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Record W3184603641 · doi:10.1073/pnas.2100707118

Surviving winter on the Qinghai-Tibetan Plateau: Pikas suppress energy demands and exploit yak feces to survive winter

2021· article· en· W3184603641 on OpenAlexaff
John R. Speakman, Qing‐Sheng Chi, Łukasz Ołdakowski, Haibo Fu, Quinn E. Fletcher, Catherine Hambly, Jacques Togo, Xinyu Liu, Stuart B. Piertney, Xinghao Wang, Liangzhi Zhang, Paula Redman, Lu Wang, Gang-Bin Tang, Yongguo Li, Jianguo Cui, Peter J. Thomson, Zengli Wang, Paula Glover, Olivia C. Robertson, Yanming Zhang, Dehua Wang

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsUniversity of Winnipeg
FundersNational Key Research and Development Program of ChinaChinese Academy of SciencesNational Natural Science Foundation of ChinaRoyal Society
KeywordsPlateau (mathematics)PikaYAKQinghai lakeHibernation (computing)FecesBiologyExploitEcologyZoologyAnimal scienceGlacier

Abstract

fetched live from OpenAlex

Significance Endothermic animals must survive periods of seasonally lowered temperature, coincident with lowered food supply. While we know much about hibernation and migration as survival strategies, the responses of nonhibernating, nonmigrating species are more opaque, yet how these animals survive such periods is important to understand their potential susceptibility to climate change. Here, we report on a 13-y study of a species of lagomorph (plateau pika) from the Qinghai-Tibetan Plateau. We show pikas suppress their metabolism in winter and exploit a novel food source (feces of its supposed competitor, the domestic yak), which may contribute to their survival. Deposition of a fat store in the fall and its progressive utilization was not part of the overwinter strategy.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.048
GPT teacher head0.259
Teacher spread0.211 · 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

Citations71
Published2021
Admission routes1
Has abstractyes

Explore more

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