Evidence map›Paper›PMID 41123997›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

A universal thermal performance curve arises in biology and ecology.

Jean-François Arnoldi, Andrew L Jackson, Ignacio Peralta-Maraver, Nicholas L Payne

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Explaining the universality of biological thermal responses.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Reply to Arroyo et al.: Universality and diversity in thermal performance curves.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Toward a general understanding of thermal performance curves in biology.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jean-François ArnoldiTheoretical and Experimental Ecology Station, CNRS Moulis, Moulis 09200, France.ORCID 0000-0001-9373-4051
Andrew L JacksonDepartment of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin D02 PN40, Ireland.
Ignacio Peralta-MaraverDepartamento de Ecología, Universidad de Granada, Granada 18071, Spain.ORCID 0000-0002-3467-7664
Nicholas L PayneDepartment of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin D02 PN40, Ireland.ORCID 0000-0002-5274-471X

Funding

Irish Research Council (IrishResearch) IRCLA/2017/186Marie Skłodowska Curie fellowship 101110111Science Foundation Ireland (SFI) 18/SIRG/5549TULIP Laboratory of Excellence ANR-10-LABX-41
6 · The paper itself

Abstract

Temperature has strong impacts on all biological and ecological processes, and thermal performance curves (TPCs) have been employed recurrently to assess them. TPCs almost always take a particular asymmetric shape across the biological hierarchy, with many different competing mechanisms and models doing a similarly good job of trying to explain the TPC phenomenon. Here, we reveal that the ubiquitous exponential scaling of biological processes with temperature creates a mechanistic tendency for TPC data and models to collapse onto a single curve (which we call the Universal TPC, UTPC), explaining mathematically why biological systems respond to temperature in such a consistent way. We illustrate that many seemingly different TPCs actually approximate rescaled versions of the same curve, even when thermal performance estimates vary widely across organisms, systems, and contexts. We demonstrate remarkable UTPC collapse across the tree of life, with diverse datasets spanning microbes to vertebrates, and individual physiology to population growth. UTPC phenomena also provide a strong theoretical basis for predicting performance of warm-adapted organisms will be more sensitive to- and less tolerant of- temperature fluctuations; an important consideration in the context of climate change.

Indexed as

EcologyModels, BiologicalTemperatureAnimalsClimate ChangeEcosystemmacrophysiologyMTEscalingthermal biologythermal performance curves

Identifiers

PMID41123997
PMCPMC12582339

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.