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

Urban MC, Swaegers J, Stoks R, Snook RR, Otto SP, Noble DWA, Moiron Cacharron M, Hällfors MH, Gomez-Llano M, Fior S, Cote J, et al. (2023)
Evolution Letters .

Zeitschriftenaufsatz | E-Veröff. vor dem Druck | Englisch
 
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Autor*in
Urban, Mark C.; Swaegers, Janne; Stoks, Robby; Snook, Rhonda R.; Otto, Sarah P.; Noble, Daniel W. A.; Moiron Cacharron, MariaUniBi; Hällfors, Maria H.; Gomez-Llano, Miguel; Fior, Simone; Cote, Julien; Charmantier, Anne
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Abstract / Bemerkung
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.
Stichworte
global change; climate change; evolvability; prediction; adaptation; evolutionary rescue
Erscheinungsjahr
2023
Zeitschriftentitel
Evolution Letters
eISSN
2056-3744
Page URI
https://pub.uni-bielefeld.de/record/2985931

Zitieren

Urban MC, Swaegers J, Stoks R, et al. When and how can we predict adaptive responses to climate change? Evolution Letters . 2023.
Urban, M. C., Swaegers, J., Stoks, R., Snook, R. R., Otto, S. P., Noble, D. W. A., Moiron Cacharron, M., et al. (2023). When and how can we predict adaptive responses to climate change? Evolution Letters . https://doi.org/10.1093/evlett/qrad038
Urban, Mark C., Swaegers, Janne, Stoks, Robby, Snook, Rhonda R., Otto, Sarah P., Noble, Daniel W. A., Moiron Cacharron, Maria, et al. 2023. “When and how can we predict adaptive responses to climate change?”. Evolution Letters .
Urban, M. C., Swaegers, J., Stoks, R., Snook, R. R., Otto, S. P., Noble, D. W. A., Moiron Cacharron, M., Hällfors, M. H., Gomez-Llano, M., Fior, S., et al. (2023). When and how can we predict adaptive responses to climate change? Evolution Letters .
Urban, M.C., et al., 2023. When and how can we predict adaptive responses to climate change? Evolution Letters .
M.C. Urban, et al., “When and how can we predict adaptive responses to climate change?”, Evolution Letters , 2023.
Urban, M.C., Swaegers, J., Stoks, R., Snook, R.R., Otto, S.P., Noble, D.W.A., Moiron Cacharron, M., Hällfors, M.H., Gomez-Llano, M., Fior, S., Cote, J., Charmantier, A., Bestion, E., Berger, D., Baur, J., Alexander, J.M., Saastamoinen, M., Edelsparre, A.H., Teplitsky, C.: When and how can we predict adaptive responses to climate change? Evolution Letters . (2023).
Urban, Mark C., Swaegers, Janne, Stoks, Robby, Snook, Rhonda R., Otto, Sarah P., Noble, Daniel W. A., Moiron Cacharron, Maria, Hällfors, Maria H., Gomez-Llano, Miguel, Fior, Simone, Cote, Julien, Charmantier, Anne, Bestion, Elvire, Berger, David, Baur, Julian, Alexander, Jake M., Saastamoinen, Marjo, Edelsparre, Allan H., and Teplitsky, Celine. “When and how can we predict adaptive responses to climate change?”. Evolution Letters (2023).

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