在不均匀的环境中提高最大经济产量。

IF 2.2 4区 数学 Q2 BIOLOGY
Bilel Elbetch, Ali Moussaoui, Pierre Auger
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引用次数: 0

摘要

在这项工作中,我们研究了在异质环境中由渔船队进行物流开发的鱼类生长模型。环境是由一个渔网组成的,这些渔网由快速洄游的鱼类连接在一起。我们感兴趣的是最大经济产量(MEY),它与捕鱼船队的最大利润相对应。我们发现,在没有迁徙的情况下,由所有连通的渔场组成的渔场的总经济效益可以大于孤立渔场的经济效益之和。我们研究了任意数量的连接补丁的一般情况,然后重点研究了由两个补丁组成的系统的情况。在后一种情况下,我们发现通过连接斑块,鱼类洄游的不对称性对增加最大经济产量的总利润起着重要作用。我们用数值模拟来说明我们的结果,使我们能够将具有连通斑块的MEY渔业系统与具有孤立斑块的系统进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increase maximum economic yield in a patchy environment.

In this work, we study the model of a fish species growing logistically exploited by a fishing fleet in a heterogeneous environment. The environment is made up of a network of fishing patches connected by fish migrations taking place on a fast time scale. We are interested in the maximum economic yield (MEY) which corresponds to the maximum profit made by the fishing fleet. We show that the total MEY profit of the fishery made up of all the connected fishing patches can be greater than the sum of the MEY profits of isolated patches in the absence of migration. We study the general case with any number of connected patches then focus on the case of a system composed of two patches. In the latter case, we show that asymmetry in fish migration plays an important role in increasing the total profit at the MEY by connecting patches. We illustrate our results with numerical simulations allowing us to compare the MEY fishery system with connected patches compared to the system with isolated patches.

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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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