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Record W4388462271 · doi:10.1111/oik.09944

Age at first reproduction and senescence in a short‐lived wild mammal

2023· article· en· W4388462271 on OpenAlexaff
Jimmy Allain, Mathilde L. Tissier, Patrick Bergeron, Dany Garant, Denis Réale

Bibliographic record

VenueOikos · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsUniversité de SherbrookeBishop's UniversityUniversité du Québec à Montréal
Fundersnot available
KeywordsSenescenceBiologyBreedReproductionLongevityOffspringMammalZoologyReproductive successPopulationAgeingEcologyDemographyPregnancyGenetics

Abstract

fetched live from OpenAlex

Senescence is the degradation of biological functions with increasing age. Its existence and relationship with life‐history strategies remains poorly studied in short‐lived wild vertebrate species. We investigated the relationships between age at first reproduction (AFR), reproductive senescence and longevity in an eastern chipmunk Tamias striatus population, where the first opportunity to breed is conditioned by pulses of seed production by trees (i.e. masts). We used 11 years of data from a longitudinal study, in which females breed for the first time at seven, 15 or 22 months of age and males at seven or 15 months of age. We first assessed the effect of age on three traits associated with breeding performance, namely the number of offspring produced, and the probability of producing an offspring. We then tested whether an earlier AFR accelerated reproductive senescence and reduced survival of both males and females. We found sex‐specific relationships between AFR and senescence. Females reproducing at 15 or 22 months of age showed reproductive senescence, but early‐breeding females did not show any decline in reproductive performance at an older age. Also, although we observed reproductive senescence in males, it was not affected by AFR. Our results are consistent with studies highlighting the existence of reproductive senescence in small, wild mammals. Importantly, we provide the first evidence that AFR can strongly influence the patterns of senescence in small short‐lived species, and does it in a sex‐specific way. Our results highlight the importance of studying life‐history strategies in both males and females when studying senescence in the wild.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.118

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 head0.041
GPT teacher head0.245
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

Citations3
Published2023
Admission routes1
Has abstractyes

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