Evidence map›Paper›PMID 41730080›Full record

SynthesisEcology letters2026

No Evidence for Pace of Life Evolution Along Elevational Gradients in Squamate Reptiles.

Tiberiu C Sahlean, Ryan A Martin

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Ecology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Tiberiu C SahleanInstitute of Biology Bucharest, Romanian Academy, Bucharest, Romania.ORCID https://orcid.org/0000-0001-9014-9084
Ryan A MartinDepartment of Biology, Case Western Reserve University, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-7448-5907

Funding

Academia Româna RO1567-IBB09/2026
6 · The paper itself

Abstract

Ecological conditions can significantly influence the trade-off between survival, growth and reproduction, driving life-history divergence among populations in different environments. The pace of life syndrome hypothesis (POLS) proposes that additional suites of traits, from physiology to behaviour, adaptively co-evolve with life-history traits along a slow-fast continuum. Using data from 192 studies representing 104 squamate species, we performed phylogenetic meta-analyses testing whether traits vary predictably across elevation within species in accordance with POLS. Results show there is no clear evidence for an overall intraspecific elevational pace-of-life syndrome in squamate reptiles. While high elevation populations had significantly lower body temperatures and larger egg sizes, most traits-including body size, longevity, fecundity and thermal tolerance-exhibited non-significant elevational patterns. Critically, lizards and snakes responded fundamentally differently: snakes showed significant differences in adult female and neonate body size and fecundity across elevation, while lizards showed no significant divergence. Elevation-latitude interactions provide further evidence against a single pace-of-life solution to elevation. Our findings challenge the applicability of POLS theory within species, revealing that life-history evolution is more context-dependent and taxonomically constrained than syndrome-based approaches suggest. These results contribute to growing evidence that universal trait syndromes rarely emerge across environmental gradients in diverse taxonomic groups.

Indexed as

AltitudeBiological EvolutionLife History TraitsLizardsSnakesAnimalsBody SizeFemalePhylogenyelevation gradientlatitude gradientlife‐historypace of life syndromephysiologyPOLSReptiliaslow‐fast continuumSquamata

Identifiers

PMID41730080
PMCPMC12928677

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.