We present a new stochastic model, based on a 0-dimensional version of the well known biogeochemical flux model (BFM), which allows to take into account the temperature random fluctuations present in natural systems and therefore to describe more realistically the dynamics of real marine ecosystems. The study presents a detailed analysis of the effects of randomly varying temperature on the lower trophic levels of the food web and ocean biogeochemical processes. More in detail, the temperature is described as a stochastic process driven by an additive self-correlated Gaussian noise. Varying both correlation time and intensity of the noise source, the predominance of different plankton populations is observed, with regimes shifted towards the coexistence or the exclusion of some populations. Finally a Fourier analysis carried out on the time series of the plankton populations shows how the ecosystem responds to the seasonal driving for different values of the noise intensity.

我们提出了一个新的随机模型，基于众所周知的生物地球化学通量模型 (BFM) 的 0 维版本，它允许考虑自然系统中存在的温度随机波动，因此更真实地描述真实海洋的动力学生态系统。该研究详细分析了随机变化的温度对食物网和海洋生物地球化学过程的低营养级的影响。更详细地说，温度被描述为由加性自相关高斯噪声驱动的随机过程。改变噪声源的相关时间和强度，观察到不同浮游生物种群的优势，并朝着共存或排除某些种群的方向转变。