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

Urban, Mark C. (author)
University of Connecticut, United States
Swaegers, Janne (author)
University of Leuven, Belgium
Stoks, Robby (author)
University of Leuven, Belgium
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Snook, Rhonda R. (author)
Stockholms universitet,Zoologiska institutionen,Stockholm University, Sweden
Otto, Sarah P. (author)
University of British Columbia, Canada
Noble, Daniel W. A. (author)
The Australian National University, Australia
Moiron, Maria (author)
6 Institute of Avian Research, Germany; Bielefeld University, Germany,ETH Zurich, Switzerland
Haellfors, Maria H. (author)
Finnish Environment Institute SYKE, Finland
Gómez-Llano, Miguel (author)
Karlstads universitet,Institutionen för miljö- och livsvetenskaper (from 2013)
Fior, Simone (author)
ETH Zurich, Switzerland
Cote, Julien (author)
Université Toulouse III Paul Sabatier, France
Charmantier, Anne (author)
Université de Montpellier, France
Bestion, Elvire (author)
Station d’Ecologie Théorique et Expérimentale, CNRS, France
Berger, David (author)
Uppsala University, Sweden
Baur, Julian (author)
University of Helsinki, Finland.
Alexander, Jake M. (author)
ETH Zurich, Switzerland
Saastamoinen, Marjo (author)
University of Helsinki, Finland
Edelsparre, Allan H. (author)
University of Toronto, Canada
Teplitsky, Celine (author)
Université de Montpellier, France
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 (creator_code:org_t)
Oxford University Press, 2024
2024
English.
In: Evolution Letters. - : Oxford University Press. - 2056-3744. ; 8:1, s. 172-187
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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. Preventing biological impacts from climate change will require accurate predictions about which species and ecosystems are most at risk and how best to protect them. Despite some progress, most predictive efforts still omit the potential for evolution to mediate climate change impacts. Here, we evaluate what is predictable now, in the future, and likely never based on recent literature, a survey of authors, and authors' contributions to a special issue on climate change evolution. Evidence indicates a growing ability to predict at least some components underlying evolutionary dynamics. For instance, the direct effects of climate change often alter natural selection regimes that could elicit evolutionary responses assuming sufficient additive genetic variation. We found no evidence for an increase or decrease in evolvability under future climate conditions, but we did find an overall moderate level of evolvability. However, the specific genetics underlying potential adaptive changes are still a "black box" that remains difficult to predict. We not only discuss the opportunities afforded by new genomic techniques to elucidate these genetic black boxes but also caution that the costs and limitations of such techniques for many species might not warrant their general practicality. We highlight further progress and challenges in predicting gene flow and population persistence, both of which can facilitate evolutionary rescue. We finish by listing ten activities that are needed to accelerate future progress in predicting climate change evolution. Despite the many complexities, we are relatively optimistic that evolutionary responses to climate change are becoming more accurate through time, especially assuming a more focused effort to fill key knowledge gaps in the coming years.

Subject headings

NATURVETENSKAP  -- Biologi -- Evolutionsbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Evolutionary Biology (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Klimatforskning (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Climate Research (hsv//eng)
NATURVETENSKAP  -- Biologi -- Ekologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Ecology (hsv//eng)

Keyword

global change
climate change
evolvability
prediction
adaptation
evolutionary rescue
Biology
Biologi

Publication and Content Type

ref (subject category)
art (subject category)

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