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Observations and Models of Highly Intermittent Phytoplankton Distributions

机译:高间歇性浮游植物分布的观测和模型

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摘要

The measurement of phytoplankton distributions in ocean ecosystems provides the basis for elucidating the influences of physical processes on plankton dynamics. Technological advances allow for measurement of phytoplankton data to greater resolution, displaying high spatial variability. In conventional mathematical models, the mean value of the measured variable is approximated to compare with the model output, which may misinterpret the reality of planktonic ecosystems, especially at the microscale level. To consider intermittency of variables, in this work, a new modelling approach to the planktonic ecosystem is applied, called the closure approach. Using this approach for a simple nutrient-phytoplankton model, we have shown how consideration of the fluctuating parts of model variables can affect system dynamics. Also, we have found a critical value of variance of overall fluctuating terms below which the conventional non-closure model and the mean value from the closure model exhibit the same result. This analysis gives an idea about the importance of the fluctuating parts of model variables and about when to use the closure approach. Comparisons of plot of mean versus standard deviation of phytoplankton at different depths, obtained using this new approach with real observations, give this approach good conformity.
机译:对海洋生态系统中浮游植物分布的测量为阐明物理过程对浮游生物动力学的影响提供了基础。技术的进步允许以更高的分辨率测量浮游植物数据,从而显示出很高的空间变异性。在传统的数学模型中,被测变量的平均值近似于与模型输出进行比较,这可能会误解浮游生态系统的现实,尤其是在微观尺度上。为了考虑变量的间歇性,在这项工作中,对浮游生态系统应用了一种新的建模方法,称为封闭方法。将这种方法用于简单的营养性浮游植物模型,我们已经显示出考虑模型变量的波动部分如何影响系统动力学。同样,我们发现了总体波动项方差的临界值,在该临界值以下,传统的非封闭模型和封闭模型的平均值表现出相同的结果。该分析给出了关于模型变量波动部分的重要性以及何时使用封闭方法的想法。使用这种新方法与实际观测值比较不同深度处浮游植物的平均值与标准偏差的图的比较,可以使该方法具有很好的一致性。

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