Morphological Variation, Niche Divergence, and Phylogeography of Lizards of the Liolaemus lineomaculatus Section (Liolaemini) from Southern Patagonia
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".