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Record W4380433339 · doi:10.1670/22-028

Geographic Variation in the Reproductive Phenology of a Widespread Amphibian

2023· article· en· W4380433339 on OpenAlexaboutno aff
Todd W. Pierson, Jasmyne Blake-Sinclair, Leah T. Rittenburg, Yatin Kalki

Bibliographic record

VenueJournal of Herpetology · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsnot available
Fundersnot available
KeywordsPhenologyBiologyGeographic variationEcologyAmphibianLife history theoryOverwinteringVariation (astronomy)CourtshipReproductionMetamorphosisHabitatReproductive successLife historyLarvaZoologyDemographyPopulation

Abstract

fetched live from OpenAlex

Geographic variation in reproductive phenology can reveal how life history is shaped by the environment. For amphibians, the timing of reproduction has downstream consequences on other life history traits such as larval period and size at metamorphosis. Two-lined Salamanders (Eurycea bislineata species complex) are widespread across the eastern United States and Canada and exhibit dramatic geographic variation in reproductive morphology, reproductive behavior, and larval life history, and thus make compelling models for studying these processes. Here, we compile courtship and nesting records from citizen science data, published literature, museum records, field notes, and social media to describe the geographic variation of reproductive phenology in the E. bislineata species complex. We demonstrate that the date of oviposition is negatively correlated with mean annual temperature and examine how this may interact with the timing of other seasonal behaviors such as migration and overwintering. Finally, we discuss how these geographic patterns may influence the evolution of reproductive tactics through differences in the spatial and temporal clustering of courtship opportunities in terrestrial and aquatic environments.

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)0.000
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 score0.103
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.013
GPT teacher head0.246
Teacher spread0.232 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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