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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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Publisher copy:
10.1098/rspb.2019.1623

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Oxford college:
Worcester College
Role:
Author
ORCID:
0000-0002-5170-8688
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Role:
Author
ORCID:
0000-0002-4999-3723
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Role:
Author
ORCID:
0000-0001-8041-8789
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Role:
Author
ORCID:
0000-0002-0631-6343


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:

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