Stochasticity enhances the gaining of bet-hedging strategies in contact-process-like dynamics

TL;DR

This paper demonstrates that environmental and intrinsic stochasticity significantly enhance the effectiveness of bet-hedging strategies in simple birth-death models, explaining their prevalence in nature.

Contribution

It introduces an analytical and computational study showing how stochasticity amplifies the benefits of bet-hedging in contact-process-like dynamics.

Findings

Bet-hedging benefits increase with environmental variability.

Higher stochasticity leads to greater survival advantages.

Bet-hedging is more effective in low-dimensional systems.

Abstract

In biology and ecology, individuals or communities of individuals living in unpredictable environments often alternate between different evolutionary strategies to spread and reduce risks. Such behavior is commonly referred to as "bet-hedging." Long-term survival probabilities and population sizes can be much enhanced by exploiting such hybrid strategies. Here, we study the simplest possible birth-death stochastic model in which individuals can choose among a poor but safe strategy, a better but risky alternative, or a combination of both. We show analytically and computationally that the benefits derived from bet-hedging strategies are much stronger for higher environmental variabilities (large external noise) and/or for small spatial dimensions (large intrinsic noise). These circumstances are typically encountered by living systems, thus providing us with a possible justification for the ubiquitousness of bet-hedging in nature.