Evidence map›Paper›PMID 36878986›Full record

ArticleNature ecology & evolution2023

Climate drives global functional trait variation in lizards.

Juan G Rubalcaba, Sidney F Gouveia, Fabricio Villalobos, Miguel Á Olalla-Tárraga, Jennifer Sunday

Abstract read
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In one paragraph

Article in Nature ecology & evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Juan G RubalcabaDepartment of Biology, McGill University, Montreal, Quebec, Canada. jg.rubalcaba@gmail.com.ORCID http://orcid.org/0000-0003-4646-070X
Sidney F GouveiaDepartamento de Ecologia, Universidade Federal de Sergipe, São Cristóvão, Brazil.
Fabricio VillalobosRed de Biología Evolutiva, Instituto de Ecología A.C, Xalapa, Mexico.ORCID http://orcid.org/0000-0002-5230-2217
Miguel Á Olalla-Tárraga *Departamento de Biología y Geología, Física y Química Inorgánica, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain.ORCID http://orcid.org/0000-0001-5346-4528
Jennifer Sunday *Department of Biology, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0001-9372-040X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge in ecology and evolution is to disentangle the mechanisms driving broad-scale variation in biological traits such as body size, colour, thermal physiology traits and behaviour. Climate has long been thought to drive trait evolution and abiotic filtering of trait variation in ectotherms because their thermal performance and fitness are closely related to environmental conditions. However, previous studies investigating climatic variables associated with trait variation have lacked a mechanistic description of the underpinning processes. Here, we use a mechanistic model to predict how climate affects thermal performance of ectotherms and thereby the direction and strength of the effect of selection on different functional traits. We show that climate drives macro-evolutionary patterns in body size, cold tolerance and preferred body temperatures among lizards, and that trait variation is more constrained in regions where selection is predicted to be stronger. These findings provide a mechanistic explanation for observations on how climate drives trait variation in ectotherms through its effect on thermal performance. By connecting physical, physiological and macro-evolutionary principles, the model and results provide an integrative, mechanistic framework for predicting organismal responses to present climates and climate change.

Indexed as

LizardsAnimalsClimate ChangeCold TemperatureEcologyTemperature

Identifiers

PMID36878986

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.