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Testing life-cycle theory by computer simulation--II. Bet-hedging revisited.

R M Sibly¹, L Linton, P Calow

¹Department of Pure and Applied Zoology, University of Reading, U.K.

Computers in Biology and Medicine

|January 1, 1991

Summary

Bet-hedging, a strategy reducing offspring numbers, is evolutionarily beneficial when juvenile survival varies greatly. Analytical and computer models confirm its advantage even with large variations in survival rates.

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Area of Science:

Evolutionary biology
Population genetics
Theoretical ecology

Background:

Bet-hedging is an evolutionary strategy where organisms reduce their reproductive output to mitigate risks associated with unpredictable environments.
This strategy is particularly advantageous when there is high variation in juvenile survivorship or low variation in adult survivorship.

Purpose of the Study:

To reexamine the evolutionary concept of bet-hedging using analytical and computer models.
To assess the robustness of existing predictions regarding bet-hedging under varying conditions.

Main Methods:

Employed analytical models to study bet-hedging.
Utilized computer simulation models of diploid one-locus genetic systems with semidominance.
Tested predictions under symmetrical and asymmetrical variation scenarios.

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Main Results:

Schaffer's (1974) predictions for bet-hedging were found to be robust under symmetrical variations.
A minor modification to the models allowed successful prediction of outcomes for asymmetrical variations, especially when large.

Conclusions:

Bet-hedging remains a significant evolutionary strategy, particularly in environments with unpredictable juvenile survival.
The models provide a refined understanding of bet-hedging dynamics, confirming its adaptive value and extending its predictive power to more complex scenarios.