Journal article
A continuum of biological adaptations to environmental fluctuation
- Abstract:
- Bet-hedging—a strategy that reduces fitness variance at the expense of lower mean fitness among different generations—is thought to evolve as a biological adaptation to environmental unpredictability. Despite widespread use of the bet-hedging concept, most theoretical treatments have largely made unrealistic demographic assumptions, such as non-overlapping generations and fixed or infinite population sizes. Here, we extend the concept to consider overlapping generations by defining bet-hedging as a strategy with lower variance and mean per capita growth rate across different environments. We also define an opposing strategy—the rising-tide—that has higher mean but also higher variance in per capita growth. These alternative strategies lie along a continuum of biological adaptions to environmental fluctuation. Using stochastic Lotka–Volterra models to explore the evolution of the rising-tide versus bet-hedging strategies, we show that both the mean environmental conditions and the temporal scales of their fluctuations, as well as whether population dynamics are discrete or continuous, are crucial in shaping the type of strategy that evolves in fluctuating environments. Our model demonstrates that there are likely to be a wide range of ways that organisms with overlapping generations respond to environmental unpredictability beyond the classic bet-hedging concept.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Publisher copy:
- 10.1098/rspb.2019.1623
Authors
- Publisher:
- Royal Society
- Journal:
- Proceedings of the Royal Society B: Biological Sciences More from this journal
- Volume:
- 286
- Issue:
- 1912
- Article number:
- 20191623
- Publication date:
- 2019-10-09
- Acceptance date:
- 2019-09-06
- DOI:
- EISSN:
-
1471-2954
- ISSN:
-
0962-8452
- Language:
-
English
- Keywords:
- Pubs id:
-
1196054
- Local pid:
-
pubs:1196054
- Deposit date:
-
2021-10-18
- ARK identifier:
Terms of use
- Copyright holder:
- Liu et al.
- Copyright date:
- 2019
- Rights statement:
- © 2019 The Author(s). Published by the Royal Society. All rights reserved.
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