Toxicity impacts on bioeconomic models of phytoplankton and zooplankton interactions

IF 2.2 3区 地球科学 Q2 OCEANOGRAPHY Ocean Dynamics Pub Date : 2023-12-05 DOI:10.1007/s10236-023-01588-2
Nossaiba Baba, Imane Agmour, Youssef El Foutayeni, Naceur Achtaich
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Abstract

The primary aim of this research is to investigate how the presence of toxicity, stemming from phytoplankton, impacts fishing activities, catch levels, and financial returns. It is hypothesized that this toxicity arises when zooplankton accumulates harmful substances while consuming phytoplankton. To achieve this objective, we analyze a model resembling a prey-predator relationship involving phytoplankton. We examine the stable conditions in our model by utilizing eigenvalue analysis and calculate the optimal fishing effort that maximizes profitability for fishermen, employing the concept of generalized Nash equilibrium. Additionally, we explore the most effective harvesting strategy by applying Pontryagin’s maximum principle. In our numerical simulations, we identify the key variables that influence all economic aspects of the model, including fishing effort, catch levels, and benefits. Furthermore, we compare our results with findings from previous research.

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毒性对浮游植物和浮游动物相互作用生物经济模型的影响
本研究的主要目的是调查浮游植物产生的毒性如何影响捕捞活动、捕捞水平和经济回报。据推测,当浮游动物在消耗浮游植物的同时积累有害物质时,这种毒性就会产生。为了实现这一目标,我们分析了一个类似于涉及浮游植物的捕食者关系的模型。我们利用特征值分析来检验模型中的稳定条件,并利用广义纳什均衡的概念计算出渔民利润最大化的最优捕捞努力量。此外,我们通过应用庞特里亚金的最大值原则来探索最有效的收获策略。在我们的数值模拟中,我们确定了影响模型所有经济方面的关键变量,包括捕捞努力量、捕捞水平和效益。此外,我们将我们的结果与先前的研究结果进行了比较。
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来源期刊
Ocean Dynamics
Ocean Dynamics 地学-海洋学
CiteScore
5.40
自引率
0.00%
发文量
37
审稿时长
6-12 weeks
期刊介绍: Ocean Dynamics is an international journal that aims to publish high-quality peer-reviewed articles in the following areas of research: Theoretical oceanography (new theoretical concepts that further system understanding with a strong view to applicability for operational or monitoring purposes); Computational oceanography (all aspects of ocean modeling and data analysis); Observational oceanography (new techniques or systematic approaches in measuring oceanic variables, including all aspects of monitoring the state of the ocean); Articles with an interdisciplinary character that encompass research in the fields of biological, chemical and physical oceanography are especially encouraged.
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