Application of an age-structured model to anchovy population in the Yellow Sea: Effects of fishing moratorium and selective fishing

IF 2.6 3区环境科学与生态学 Q2 ECOLOGY

Ecological Modelling Pub Date : 2025-04-30 DOI:10.1016/j.ecolmodel.2025.111138

Luwei Wang, Zhengyang Zhang

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引用次数: 0

Abstract

In this paper, age-specific growth equations and the McKendrick–von Foerster equation are combined to establish an age-structured model of anchovy population. This model takes into account fishing mortality, where periods of fishing moratorium are considered. We estimate the parameter functions of the mathematical model by using data of the biological parameters of anchovy in the Yellow Sea. Numerical simulation results of the model are compared with acoustic biomass estimates and annual catches in the Yellow Sea from 1987 to 2002. The comparison results show that the model effectively combines the biological characteristics of anchovy with fishery management measures. In addition, various simulations of different scenarios of fishing moratorium and selective fishing are conducted. We find that the sustainable development of anchovy resources in the Yellow Sea is affected by different fishing moratoriums and the implementation of fishery quota management. A longer fishing moratorium is beneficial for the anchovy biomass in the Yellow Sea.

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黄海凤尾鱼种群年龄结构模型的应用：暂停捕捞和选择性捕捞的影响

本文将特定年龄生长方程与McKendrick-von Foerster方程相结合，建立了凤尾鱼种群年龄结构模型。该模型考虑到休渔期的捕鱼死亡率。利用黄海凤尾鱼的生物学参数资料，对数学模型的参数函数进行了估计。将模型的数值模拟结果与1987 ~ 2002年黄海海域的声波生物量估算值和年捕获量进行了比较。对比结果表明，该模型有效地将凤尾鱼的生物学特性与渔业管理措施相结合。此外，还对不同的休渔期和选择性捕捞情景进行了各种模拟。研究发现，黄海鳀鱼资源的可持续发展受到不同休渔期和渔业配额管理的影响。较长的休渔期有利于黄海凤尾鱼的生物量。

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

Ecological Modelling 环境科学-生态学

CiteScore

5.60

自引率

6.50%

发文量

259

审稿时长

69 days

期刊介绍： The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).