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Morphological Variation, Niche Divergence, and Phylogeography of Lizards of the Liolaemus lineomaculatus Section (Liolaemini) from Southern Patagonia

2015· article· en· W2188778086 on OpenAlexfundno aff
María Florencia Breitman, Marcelo F. Bonino, Jack W. Sites, Luciano Javier Ávila, Mariana Morando

Bibliographic record

VenueHerpetological Monographs · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
FundersOffice of International Science and EngineeringUniversidad Austral de ChileConselho Nacional de Desenvolvimento Científico e TecnológicoDivision of Emerging FrontiersAgencia Nacional de Promoción Científica y TecnológicaConsejo Nacional de Investigaciones Científicas y TécnicasVillanova UniversityFondo para la Investigación Científica y TecnológicaDalhousie UniversityBrigham Young UniversityNational Science Foundation
KeywordsBiologyEcologyNichePhylogeographyBiogeographyEnvironmental niche modellingEndemismSpecies complexMeristicsEcological nicheZoologyPhylogeneticsPhylogenetic treeHabitat

Abstract

fetched live from OpenAlex

Patagonia is a biodiverse area of high conservation priority, and Liolaemus lizards comprise a large component of the endemic fauna. Recent molecular and morphological studies have revealed cryptic species in several Liolaemus groups, including the Liolaemus lineomaculatus section (22 species recognized to date), which is endemic to Patagonia. Despite being a conspicuous component of this area, little is known about the morphological, ecological, and genetic variation of lizards of the L. lineomaculatus section; moreover species limits and past demographic scenarios are still uncertain for many of these species. In this paper, we characterize the morphological, ecological (niche envelope), and genetic variability of the four southernmost species of the L. kingii group (L. lineomaculatus section). Our main goal is to clarify species boundaries (using integrative taxonomy) as well as to infer evolutionary and demographic histories. For this paper we used a total of 241 specimens, 195 of which were used for morphological analyses (10 morphometric, 10 meristic, and 7 qualitative characters) and 226 were sequenced for cytochrome b. We summarized ecological variation by using environmental data from 62 localities of occurrence in a geospatial modeling analysis to estimate current and past species niche envelopes and to test for niche similarity. We identified genetic lineages and evaluated differentiation among them at molecular, morphological, and niche envelope levels. Overall, we found support for the specific status of L. baguali, L. escarchadosi, and L. sarmientoi based on differentiation along each of these three levels. Liolaemus tari is also differentiated from the other species, even though we could not evaluate its niche envelope due to small sample size. We also show the first evidence of possible hybridization among some of these species and recognize a new candidate 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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.996

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)0.0040.000

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 head0.029
GPT teacher head0.231
Teacher spread0.202 · 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.

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

Citations22
Published2015
Admission routes1
Has abstractyes

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