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Short-term insurance versus long-term bet-hedging strategies as adaptations to variable environments

机译:短期保险与长期投注套期保值策略作为可变环境的适应

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摘要

Understanding how organisms adapt to environmental variation is a key challenge of biology. Central to this are bet-hedging strategies that maximize geometric mean fitness across generations, either by being conservative or diversifying phenotypes. Theoretical models have identified environmental variation across generations with multiplicative fitness effects as driving the evolution of bet-hedging. However, behavioral ecology has revealed adaptive responses to additive fitness effects of environmental variation within lifetimes, either through insurance or risk-sensitive strategies. Here, we explore whether the effects of adaptive insurance interact with the evolution of bet-hedging by varying the position and skew of both arithmetic and geometric mean fitness functions. We find that insurance causes the optimal phenotype to shift from the peak to down the less steeply decreasing side of the fitness function, and that conservative bet-hedging produces an additional shift on top of this, which decreases as adaptive phenotypic variation from diversifying bet-hedging increases. When diversifying bet-hedging is not an option, environmental canalization to reduce phenotypic variation is almost always favored, except where the tails of the fitness function are steeply convex and produce a novel risk-sensitive increase in phenotypic variance akin to diversifying bet-hedging. Importantly, using skewed fitness functions, we provide the first model that explicitly addresses how conservative and diversifying bet-hedging strategies might coexist.
机译:了解有机体如何适应环境变异是生物学的关键挑战。核心至关重要的是,通过保守或多样化的表型来最大化几何平均健身的令人预报。理论模型已经确定了几代人的环境变异,具有乘法的健身效应,作为推动投注套期的演变。然而,行为生态学揭示了通过保险或风险敏感策略在寿命范围内对环境变异的添加剂健康影响的适应性反应。在这里,我们探讨自适应保险的影响是否通过改变算术和几何平均健身功能的位置和偏斜来互动与下注的演变。我们发现保险使最佳表型从峰值从峰值转移到下降的健身功能的较低速度下降侧,并且保守的赌注对冲在其顶部产生了额外的偏移,这减少了自适应表型变异,从多样化赌注中减少对冲增加。当多样化的Bet-Hedging不是一种选择时,降低表型变异的环境分配几乎总是受到青睐,除了健身功能的尾部陡峭凸出并产生新的风险敏感性增加,类似于多样化的赌注。重要的是,使用偏斜的健身功能,我们提供了第一个明确地解决保守和多样化的令人预报可能共存的模型。

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