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干扰频发群落中的共存:抗性-恢复力权衡如何通过存储效应实现共存

Coexistence in Disturbance-Prone Communities: How a Resistance-Resilience Trade-Off Generates Coexistence via the Storage Effect.

作者信息

Miller Adam D, Chesson Peter

出版信息

Am Nat. 2009 Feb;173(2):E30-E43. doi: 10.1086/595750.

Abstract

We investigate the effects of disturbance on species coexistence using a general mathematical model. The model can be applied to a variety of communities, and we show how it applies in particular to communities of shrubs in Mediterranean heathlands. Our analysis demonstrates that when species have distinct fire response strategies, disturbance allows for stable species coexistence. Furthermore, we show how the size of the coexistence region depends on fire frequency and dispersal ability. The stabilizing mechanism is classified as the spatial storage effect, which is identified by the covariance between environmental and competitive responses. This is the first time that disturbance, defined as a fluctuating mortality factor, has been definitively shown to promote coexistence via the storage effect. Moreover, we show that the biological driver is a trade-off between resistance and resilience to disturbance. The resistance-resilience trade-off is a biological mechanism of coexistence under patchy disturbance. However, the resistance-resilience trade-off has not previously featured in mathematical models of species coexistence. Although the storage effect depends on fluctuations in life-history parameters presumed to result from environmental variation, rarely are life-history parameters explicitly linked to environmental phenomena. Here the link is clear and concrete, allowing better definition of the intended application.

摘要

我们使用一个通用数学模型来研究干扰对物种共存的影响。该模型可应用于各种群落,我们展示了它如何特别适用于地中海石南灌丛群落。我们的分析表明,当物种具有不同的火灾响应策略时,干扰可实现稳定的物种共存。此外,我们展示了共存区域的大小如何取决于火灾频率和扩散能力。这种稳定机制被归类为空间储存效应,它通过环境响应和竞争响应之间的协方差来识别。这是首次明确表明,被定义为波动死亡率因素的干扰通过储存效应促进共存。此外,我们表明生物学驱动因素是对干扰的抗性和恢复力之间的权衡。抗性 - 恢复力权衡是斑块状干扰下共存的一种生物学机制。然而,抗性 - 恢复力权衡此前并未出现在物种共存的数学模型中。尽管储存效应取决于假定由环境变化导致的生活史参数的波动,但生活史参数很少与环境现象明确相关。这里的联系清晰具体,有助于更好地定义预期应用。

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