浮游生物动力学的随机效应:一个现实的 0 维海洋生物地球化学模型的启示

IF 5.8 2区 环境科学与生态学 Q1 ECOLOGY
Guido Occhipinti , Stefano Piani , Paolo Lazzari
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引用次数: 0

摘要

海洋生态系统存在于嘈杂和不确定的环境中,不受确定性规律的支配。生态群落的发展在很大程度上受到变异性的影响,非线性和随机过程之间的相互作用会导致确定性模型无法解释的现象。浮游生物是海洋食物网的基础,由于其繁殖时间较短,因此受随机波动的影响很大。研究噪声对浮游生物生长的影响对于准确描述和预测海洋健康状况至关重要。我们提出了一个现实的生物地球化学模型,其中乘法白噪声代表了影响浮游生物的环境随机性。该模型在存在随机波动的情况下具有遍历特性,其时间分布和集合分布是一致的。分析和数值分析表明,在噪声强度足够低的情况下,平衡附近的动态类似于奥恩斯坦-乌伦贝克加性过程。噪声强度越大,共振就越大,尤其是当内生动力学具有周期性时。结果表明,低噪声强度会对浮游生物的持久性产生积极影响,使更多物种共存,而较高的噪声强度则会在系统中建立新的平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic effects on plankton dynamics: Insights from a realistic 0-dimensional marine biogeochemical model

Marine ecosystems exist in a noisy and uncertain environment, not governed by deterministic laws. The development of ecological communities is significantly influenced by variability, and the interaction between nonlinearity and stochastic processes can lead to phenomena that deterministic models cannot explain. Plankton, forming the base of the marine food web, are highly affected by stochastic fluctuations due to their short reproductive timescales. Investigating the effects of noise on plankton growth is essential for accurately describing and predicting marine health. We present a realistic biogeochemical model where multiplicative white noise represents environmental stochasticity affecting plankton. The model suggests ergodic properties in the presence of stochastic fluctuations, with temporal and ensemble distributions being coherent. Analytical and numerical analyses reveal that, given sufficiently low noise intensity, dynamics near equilibrium resemble an Ornstein-Uhlenbeck additive process. With higher noise intensities, resonance occurs, particularly when endogenous dynamics are periodic. The results indicate that low noise intensity can positively influence plankton persistence with an higher number of species coexisting, while higher noise intensity can establish a new equilibrium in the system.

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来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
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