Evidence map›Paper›PMID 38370544›Full record

ArticleEvolution letters2024

When and how can we predict adaptive responses to climate change?

Mark C Urban, Janne Swaegers, Robby Stoks, Rhonda R Snook, Sarah P Otto, Daniel W A Noble, Maria Moiron, Maria H Hällfors, Miguel Gómez-Llano, Simone Fior and 9 more

Abstract read
In one paragraph

Article in Evolution letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
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  7. Evolution of species' range and niche in changing environments.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Trait-based approaches to restoration ecology: Synthesizing insights from diverse systems.Ecological applications : a publication of the Ecological Society of America · 2026
    Review
  12. Article
  13. Conservation should assume realistic adaptive capacities.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  14. Article
  15. Unmeasured prior viability selection resolves the paradox of stasis for body size in wild Soay sheep.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
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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

19 authors.

Mark C UrbanDepartment of Ecology and Evolutionary Biology and Center of Biological Risk, University of Connecticut, Storrs, CT, United States.
Janne SwaegersLaboratory of Evolutionary Stress Ecology and Ecotoxicology, University of Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0003-1952-3170
Robby StoksLaboratory of Evolutionary Stress Ecology and Ecotoxicology, University of Leuven, Leuven, Belgium.
Rhonda R SnookDepartment of Zoology, University of Stockholm, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-1852-1448
Sarah P OttoBiodiversity Research Centre, Department of Zoology, University of British Columbia, Vancouver, BC, Canada.
Daniel W A NobleDivision of Ecology and Evolution Research School of Biology, The Australian National University, Canberra, ACT, Australia.
Maria MoironInstitute of Avian Research, Wilhelmshaven, Germany.ORCID https://orcid.org/0000-0003-0991-1460
Maria H HällforsNature Solutions Unit, Finnish Environment Institute SYKE, Helsinki, Finland.ORCID https://orcid.org/0000-0002-6890-8942
Miguel Gómez-LlanoDepartment of Environmental and Life Sciences, Karlstad University, Karlstad, Sweden.ORCID https://orcid.org/0000-0003-2714-2925
Simone FiorInstitute of Integrative Biology, ETH Zurich, Zurich, Switzerland.
Julien CoteLaboratoire Évolution and Diversité Biologique (EDB), UMR5174, CNRS, IRD, Université Toulouse III Paul Sabatier, Toulouse, France.ORCID https://orcid.org/0000-0002-4453-5969
Anne CharmantierCentre d'Ecologie Fonctionnelle et Evolutive, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France.
Elvire BestionStation d'Ecologie Théorique et Expérimentale, CNRS, Moulis, France.ORCID https://orcid.org/0000-0001-5622-7907
David BergerDepartment of Ecology and Genetics, Uppsala University, Uppsala, Sweden.
Julian BaurOrganismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-4739-2756
Jake M AlexanderInstitute of Integrative Biology, ETH Zurich, Zurich, Switzerland.
Marjo SaastamoinenOrganismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.
Allan H EdelsparreDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada.
Celine TeplitskyCentre d'Ecologie Fonctionnelle et Evolutive, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting if, when, and how populations can adapt to climate change constitutes one of the greatest challenges in science today. Here, we build from contributions to the special issue on evolutionary adaptation to climate change, a survey of its authors, and recent literature to explore the limits and opportunities for predicting adaptive responses to climate change. We outline what might be predictable now, in the future, and perhaps never even with our best efforts. More accurate predictions are expected for traits characterized by a well-understood mapping between genotypes and phenotypes and traits experiencing strong, direct selection due to climate change. A meta-analysis revealed an overall moderate trait heritability and evolvability in studies performed under future climate conditions but indicated no significant change between current and future climate conditions, suggesting neither more nor less genetic variation for adapting to future climates. Predicting population persistence and evolutionary rescue remains uncertain, especially for the many species without sufficient ecological data. Still, when polled, authors contributing to this special issue were relatively optimistic about our ability to predict future evolutionary responses to climate change. Predictions will improve as we expand efforts to understand diverse organisms, their ecology, and their adaptive potential. Advancements in functional genomic resources, especially their extension to non-model species and the union of evolutionary experiments and "omics," should also enhance predictions. Although predicting evolutionary responses to climate change remains challenging, even small advances will reduce the substantial uncertainties surrounding future evolutionary responses to climate change.

Indexed as

adaptationclimate changeevolutionary rescueevolvabilityglobal changeprediction

Identifiers

PMID38370544
PMCPMC10872164

What OpenQuestion holds

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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.