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

Coexistence in Disturbance-Prone Communities: How a Resistance-Resilience Trade-Off Generates Coexistence via the Storage Effect
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DOI:
10.1086/595750
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发表时间:
2009-02-01
影响因子:
2.9
通讯作者:
Chesson, Peter
Chesson, Peter
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Miller, Adam D.;Chesson, Peter

文献摘要

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我们使用一个通用的数学模型研究干扰对物种共存的影响。该模型可以应用于各种社区,我们展示了它是如何特别适用于社区的灌木在地中海石南荒原。我们的分析表明,当物种有不同的火灾响应策略,干扰允许稳定的物种共存。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。稳定机制被归类为空间存储效应,这是确定的环境和竞争反应之间的协方差。这是第一次,扰动,定义为一个波动的死亡率因子,已明确表明,通过存储效果,以促进共存。此外,我们表明,生物驱动程序是一个权衡之间的阻力和弹性干扰。抵抗力-复原力权衡是斑块干扰下共存的生物学机制。然而,抵抗力-恢复力的权衡在以前的物种共存数学模型中并没有出现。虽然储存效应取决于生活史参数的波动,推测是由环境变化引起的,但生活史参数很少与环境现象明确相关。这里的联系是明确和具体的,允许更好地定义预期的应用。
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.