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Rapid evolution generates synergism between multiple stressors: Linking theory and an evolution experiment
James Orr, Pepijn Luijckx, Jean‐françois Arnoldi, Andrew Jackson, Jeremy Piggott

Rapid evolution generates synergism between multiple stressors: Linking theory and an evolution experiment

Science & Mathematics Published 2022 Verification Pending

Overview & Synopsis

Global change encompasses many co-occurring anthropogenic stressors. Understanding the interactions between these multiple stressors, whether they be additive, antagonistic or synergistic, is critical for ecosystem managers when prioritizing which stressors to mitigate in the face of global change. While such interactions between stressors appear prevalent, it remains unclear if and how these interactions change over time, as the majority of multiple-stressor studies rarely span multiple generations of study organisms. Although meta-analyses have reported some intriguing temporal trends in stressor interactions, for example that synergism may take time to emerge, the mechanistic basis for such observations is unknown. In this study, by analysing data from an evolution experiment with the rotifer Brachionus calyciflorus (~35 generations and 31,320 observations), we show that adaptation to multiple stressors shifts stressor interactions towards synergism. We show that trade-offs, where populations cannot optimally perform multiple tasks (i.e. adapting to multiple stressors), generate this bias towards synergism. We also show that removal of stressors from evolved populations does not necessarily increase fitness and that there is variation in the evolutionary trajectories of populations that experienced the same stressor regimes. Our results highlight outstanding questions at the interface between evolution and global change biology, and illustrate the importance of considering rapid adaptation when managing or restoring ecosystems subjected to multiple stressors under global change

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Document Information

Document Title Rapid evolution generates synergism between multiple stressors: Linking theory and an evolution experiment
Author / Organization James Orr, Pepijn Luijckx, Jean‐françois Arnoldi, Andrew Jackson, Jeremy Piggott
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-127077
Original Source Link Visit Source Page on hal.science »