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A phylogeographic analysis of populations of the wood turtle (<i>Glyptemys insculpta</i>) throughout its range

2007· article· en· W1977084093 on OpenAlexafffund
MARINA L. AMATO, Ronald J. Brooks, Jinzhong Fu

Bibliographic record

VenueMolecular Ecology · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyPhylogeographyRange (aeronautics)Turtle (robot)EcologyEvolutionary biologyPhylogenetics

Abstract

fetched live from OpenAlex

We investigated the phylogeography of wood turtles, Glyptemys insculpta, in North America using 750 bp of the mitochondrial control region from 117 individuals sampled at 29 localities across the species' range. A total of 21 haplotypes were identified and little genetic variation was found. The highest pairwise difference was 2%. From nested clade analysis (NCA), one main postglacial dispersal route was inferred along the east coast, with subsequent westward dispersal. NCA further revealed some patterns of restricted gene flow/dispersal. We propose that wood turtles experienced a combined effect of bottleneck during the Pleistocene as well as of selective sweep, which produced the low level of variation observed. Following the Pleistocene, wood turtles would have undergone a rapid northward expansion from a common southern refugium as glaciers retreated. These findings shed light on where to direct conservation priorities, on conservation strategies needed, and on the potential effects of interpopulation transfers for this vulnerable species.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.248
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), 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

Citations42
Published2007
Admission routes2
Has abstractyes

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