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Record W3046415395 · doi:10.3398/064.080.0203

Reproductive Failure Predicts Intracolony Dispersal of Female Black-Tailed Prairie Dogs (Cynomys ludovicianus) in a Northern Population

2020· article· en· W3046415395 on OpenAlexaffabout
Jillian M. Kusch, Colleen Crill Matzke, Jeffrey E. Lane

Bibliographic record

VenueWestern North American Naturalist · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCynomys ludovicianusBiological dispersalPhilopatryPrairie dogBiologyPopulationEcologyReproductive successZoologyDemography

Abstract

fetched live from OpenAlex

Dispersal in mammals is typically male-biased and occurs primarily in sexually immature individuals. These dispersal characteristics are especially true for ground-dwelling sciurids, such as black-tailed prairie dogs (Cynomys ludovicianus), that have polygynous breeding systems, with dispersing males and philopatric females. Prairie dogs are small, colonial rodents found in patches throughout the Great Plains of North America. Previous literature reports that females exist in philopatric units called coteries, typically with one unrelated breeding male. Yearling males disperse from their natal coterie in order to form their own coteries. We observed 1450 prairie dogs over 3 consecutive years in one colony near the northern limit of this species' range, in Grasslands National Park, Saskatchewan. We found that female dispersal occurred at higher rates than previously reported in the literature. We found no difference between the rate of intracolony dispersal for males and females in our study population. Also, we observed that the majority (14/21) of the dispersing females had recently experienced reproductive failure. We suggest that these females dispersed to increase their potential fitness by attempting reproduction in a new territory. This finding is the first instance of a ground-dwelling sciurid demonstrating female-biased breeding dispersal and suggests that factors influencing dispersal are more complicated than previously reported for black-tailed prairie dogs.

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 score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.008
GPT teacher head0.221
Teacher spread0.212 · 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

Citations9
Published2020
Admission routes2
Has abstractyes

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