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Bloom dynamics in a seasonally forced phytoplankton- zooplankton model: Trigger mechanisms and timing effects

机译:季节性强迫浮游植物-浮游动物模型中的布鲁姆动力学:触发机制和时间效应

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With the aim of describing annually recurring phytoplankton blooms we discuss an extension of the phytoplankton-zooplankton model introduced by [Truscott, J.E., Brindley, J., 1994. Ocean plankton populations as excitable media. Bull. Math. Biol. 56, 981-998]. The extension is a seasonal forcing of the phytoplankton growth rate driven by an oscillating temperature via a Q_(10) law. We observe bistable long-term behaviour of the ecological system, i.e. a bloom and non-bloom mode, the importance of timing, and noise-induced switchings between the bloom and non-bloom mode. We link the model results to existing Helgoland Roads long-term data series by analysing the latter using the novel method of bloom-triggered averaging, a tool borrowed from signal analysis of neurophysiological recordings. We find that on an average blooms are correlated with rapid upward temperature fluctuations and speculate on their possible role as trigger mechanisms.
机译:为了描述每年重复出现的浮游植物水华,我们讨论了由[Truscott,J.E。,Brindley,J.,1994引入的浮游植物-浮游动物模型的扩展。海洋浮游生物种群是可激发的媒介。公牛。数学。生物学56,981-998]。扩展是通过Q_(10)定律,由振荡温度驱动的浮游植物生长速率的季节性强迫。我们观察到生态系统的双稳态长期行为,即绽放和非绽放模式,时间的重要性以及噪声引起的绽放和非绽放模式之间的切换。我们将模型结果链接到现有的Helgoland Roads长期数据系列,方法是使用绽放触发平均的新方法(后者是从神经生理学记录的信号分析中借用的工具)进行分析,将后者进行分析。我们发现平均而言,大花与温度的快速上升相关,并推测它们可能是触发机制。

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