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Sensitivity and robustness of larval connectivity diagnostics obtained from Lagrangian Flow Networks

机译:从拉格朗日流量网络获得的幼虫连通性诊断的灵敏度和鲁棒性

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摘要

Lagrangian Flow Network (LFN) is a modelling framework in which ocean sub-areas are represented as nodes in a network interconnected by links representing transport of propagules (eggs and larvae) by currents. We asses the sensitivity and robustness of four LFN-derived connectivity metrics measuring retention and exchange. The most relevant parameters are tested over large ranges and a wide region with contrasting hydrodynamics: density of released particles, node size (spatial scale of discretization), Pelagic Larval Duration (PLD) and spawning modality. We find a minimum density of released particles that guarantees reliable values for most of the metrics examined. We also find that node size has a nontrivial influence on them. Connectivity estimates for long PLDs are more robust against biological uncertainties (PLD and spawning date) than for short PLDs. For mass-spawners releasing propagules over short periods (approximate to 2-10 days), daily release must be simulated to properly consider connectivity fluctuations due to variable currents. In contrast, average connectivity estimates for species that spawn repeatedly over longer durations (few weeks to few months) remain robust even using longer periodicity (5-10 days). Our results have implications to design connectivity experiments with particle-tracking models and to evaluate the reliability of their results.
机译:拉格朗日流网(LFN)是一个建模框架,其中海洋子区域表示为网络中的节点,这些节点通过表示洋流传播的繁殖体(卵和幼虫)的链接相互连接。我们评估了四个LFN派生的连通性度量标准(用于测量保留和交换)的敏感性和鲁棒性。在较大范围和较宽的区域内测试了最相关的参数,并具有不同的流体动力学特性:释放颗粒的密度,节点大小(离散化的空间尺度),上浮幼虫持续时间(PLD)和产卵方式。我们发现释放的颗粒的最小密度可以保证所检查的大多数指标都具有可靠的值。我们还发现,节点大小对其具有非凡的影响。相对于短PLD,长PLD的连接性估计在抵御生物不确定性(PLD和产卵日期)方面更可靠。对于大量产卵者在短时间内(大约2-10天)释放繁殖体,必须模拟每日释放,以适当考虑由于可变电流导致的连接性波动。相比之下,即使使用更长的周期(5-10天),在更长的持续时间(几周到几个月)内反复产卵的物种的平均连通性估计值仍然保持稳健。我们的结果对使用粒子跟踪模型设计连通性实验以及评估其结果的可靠性具有启示意义。

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