A discrete-time nutrients-phytoplankton-oysters mathematical model of a bay ecosystem.

IF 2.7 4区 数学 Q3 ECOLOGY
Journal of Biological Dynamics Pub Date : 2023-12-01 Epub Date: 2023-09-19 DOI:10.1080/17513758.2023.2242720
Najat Ziyadi
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引用次数: 0

Abstract

Populations are generally censused daily, weekly, monthly or annually. In this paper, we introduce a discrete-time nutrients-phytoplankton-oysters (NPO) model that describes the interactions of nutrients, phytoplankton and oysters in a bay ecosystem. We compute the threshold parameter RN for persistence of phytoplankton with or without oysters. When RN<1, then both phytoplankton and oysters populations go extinct. However, when RN>1, we show that the model may exhibit two scenarios: (1) a locally asymptotically stable equilibrium with positive values of nutrients and phytoplankton with oysters missing, and (2) a locally asymptotically stable interior equilibrium with positive values of nutrients, phytoplankton and oysters. We use sensitivity analysis to study the impact of human and environmental factors on the model. We use examples to illustrate that some human activities and environmental factors can force the interior equilibrium to undergo a Neimark-Sacker bifurcation which generates phytoplankton blooms with oscillations in oysters population and nutrients level.

海湾生态系统的离散时间营养物-浮游植物-牡蛎数学模型。
人口通常每天、每周、每月或每年进行人口普查。在本文中,我们介绍了一个离散时间营养浮游植物-牡蛎(NPO)模型,该模型描述了海湾生态系统中营养物质、浮游植物和牡蛎的相互作用。我们计算了有或没有牡蛎的浮游植物持续存在的阈值参数RN。当RN1时,浮游植物和牡蛎种群都会灭绝。然而,当RN>1时,我们表明该模型可能表现出两种情况:(1)营养物和浮游植物为正值且牡蛎缺失的局部渐近稳定平衡,以及(2)营养物、浮游植物和牡蛎为正值的局部渐进稳定内部平衡。我们使用敏感性分析来研究人类和环境因素对模型的影响。我们举例说明,一些人类活动和环境因素会迫使内部平衡发生内马克-萨克尔分叉,从而产生浮游植物水华,牡蛎种群和营养水平也会发生振荡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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