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Updated: May 31, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Revisiting evolutionary rescue in the wild
Laurinne J Balstad1, Marissa L Baskett1, Stephanie M Carlson2
1Department of Environmental Science and Policy, University of California, Davis, 2132 Wickson Hall, One Shields Avenue, Davis, CA 95616, USA; Center for Population Biology, University of California, Davis, 2320 Storer Hall, One Shields Avenue, Davis, CA 95616, USA.
Evolutionary rescue (ER) can help populations persist in changing environments. Examining multiple lines of evidence reveals diverse evolutionary pathways and outcomes, highlighting the probabilistic role of evolution in reducing extinction risk.
Area of Science:
- Ecology and evolutionary biology
- Conservation biology
- Population genetics
Background:
- Rapid environmental change poses a significant threat to biodiversity.
- Theoretical and experimental work suggests evolution can facilitate population persistence in novel environments.
- Evolutionary rescue (ER) is a key concept for understanding population survival under environmental stress.
Purpose of the Study:
- To propose a nuanced framework for identifying evolutionary rescue.
- To emphasize the probabilistic role of evolution in reducing extinction risk.
- To examine diverse evolutionary traits, pathways, and population outcomes in wild systems.
Main Methods:
- Reviewing recent examples of evolutionary rescue in natural populations.
- Analyzing multiple lines of evidence to assess ER.
- Identifying factors that facilitate ER, such as reduced environmental stress and maintained genetic diversity.
Main Results:
- Evolutionary rescue involves a range of evolving traits and pathways.
- Population outcomes of ER are diverse.
- Reduced environmental stress, maintained genetic diversity, and protected adaptive alleles facilitate ER.
Conclusions:
- A probabilistic view of evolution is crucial for understanding ER.
- Multiple lines of evidence are needed to identify ER effectively.
- Future research should explore the impact of population-level ER on ecosystem resilience.
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