The interplay between fishery yield and top predator culling in a multispecies fishery context.

IF 0.8 4区 数学 Q4 BIOLOGY
Michel Iskin da S Costa, Lucas Dos Anjos
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引用次数: 2

Abstract

In food webs, fishery can play the role of top predator, competing thus with other top predators for valuable food resources. In this view, it has been claimed in fisheries management that culling of top predators can be a means to improve fishery yield. To investigate this hypothesis, we use theoretical population models to assess in a multispecies context how fishery yield from target species harvest responds to top predator cull. Defying crisp summary, the four analysed food web models show that this response may be either positive or negative or both, indicating that in terms of multispecies fishery management the harvest yield may not accrue as a consequence of predator removal. In addition, this multitude of behaviours points also to the fact that the response of fishery yield to top predator cull may be difficult to assess.

多物种渔业环境下渔业产量与顶级捕食者淘汰之间的相互作用。
在食物网中,渔业可以扮演顶级捕食者的角色,从而与其他顶级捕食者争夺宝贵的食物资源。在这种观点中,渔业管理部门声称,捕杀顶级捕食者可以成为提高渔业产量的一种手段。为了研究这一假设,我们使用理论种群模型来评估在多物种背景下目标物种收获的渔业产量如何响应顶级捕食者的捕杀。与简洁的总结相反,四个分析的食物网模型表明,这种反应可能是积极的,也可能是消极的,或者两者兼而有之,这表明就多物种渔业管理而言,收获产量可能不会因为捕食者的移除而增加。此外,这多种行为还表明,渔业产量对顶级捕食者捕杀的反应可能难以评估。
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
15
审稿时长
>12 weeks
期刊介绍: Formerly the IMA Journal of Mathematics Applied in Medicine and Biology. Mathematical Medicine and Biology publishes original articles with a significant mathematical content addressing topics in medicine and biology. Papers exploiting modern developments in applied mathematics are particularly welcome. The biomedical relevance of mathematical models should be demonstrated clearly and validation by comparison against experiment is strongly encouraged. The journal welcomes contributions relevant to any area of the life sciences including: -biomechanics- biophysics- cell biology- developmental biology- ecology and the environment- epidemiology- immunology- infectious diseases- neuroscience- pharmacology- physiology- population biology
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