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

adaptation climate change evolutionary rescue evolvability global change prediction

Journal

Evolution letters
ISSN: 2056-3744
Titre abrégé: Evol Lett
Pays: England
ID NLM: 101715791

Informations de publication

Date de publication:
Feb 2024
Historique:
received: 21 12 2022
revised: 31 07 2023
accepted: 25 08 2023
medline: 19 2 2024
pubmed: 19 2 2024
entrez: 19 2 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38370544
doi: 10.1093/evlett/qrad038
pii: qrad038
pmc: PMC10872164
doi:

Types de publication

Journal Article

Langues

eng

Pagination

172-187

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of The Society for the Study of Evolution (SSE) and European Society for Evolutionary Biology (ESEN).

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest. A.C., M.S., A.E., and C.T. are associate editors or special issue guest editors of Evolution Letters. Editorial processing of the manuscript was done independently of these editors.

Auteurs

Mark C Urban (MC)

Department of Ecology and Evolutionary Biology and Center of Biological Risk, University of Connecticut, Storrs, CT, United States.

Janne Swaegers (J)

Laboratory of Evolutionary Stress Ecology and Ecotoxicology, University of Leuven, Leuven, Belgium.

Robby Stoks (R)

Laboratory of Evolutionary Stress Ecology and Ecotoxicology, University of Leuven, Leuven, Belgium.

Rhonda R Snook (RR)

Department of Zoology, University of Stockholm, Stockholm, Sweden.

Sarah P Otto (SP)

Biodiversity Research Centre, Department of Zoology, University of British Columbia, Vancouver, BC, Canada.

Daniel W A Noble (DWA)

Division of Ecology and Evolution Research School of Biology, The Australian National University, Canberra, ACT, Australia.

Maria Moiron (M)

Institute of Avian Research, Wilhelmshaven, Germany.
Department of Evolutionary Biology, Bielefeld University, Bielefeld, Germany.

Maria H Hällfors (MH)

Nature Solutions Unit, Finnish Environment Institute SYKE, Helsinki, Finland.

Miguel Gómez-Llano (M)

Department of Environmental and Life Sciences, Karlstad University, Karlstad, Sweden.

Simone Fior (S)

Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland.

Julien Cote (J)

Laboratoire Évolution and Diversité Biologique (EDB), UMR5174, CNRS, IRD, Université Toulouse III Paul Sabatier, Toulouse, France.

Anne Charmantier (A)

Centre d'Ecologie Fonctionnelle et Evolutive, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France.

Elvire Bestion (E)

Station d'Ecologie Théorique et Expérimentale, CNRS, Moulis, France.

David Berger (D)

Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden.

Julian Baur (J)

Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.

Jake M Alexander (JM)

Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland.

Marjo Saastamoinen (M)

Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.
Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.

Allan H Edelsparre (AH)

Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada.

Celine Teplitsky (C)

Centre d'Ecologie Fonctionnelle et Evolutive, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France.

Classifications MeSH