通过阈值收获控制食物链模型中的混沌

Mohammad Ali Khan, Joydev Ghosh, Banshidhar Sahoo
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引用次数: 7

摘要

本文提出了一种新的收获策略,即控制食物链模型中混沌种群的收获。特别地,我们以黑斯廷斯和鲍威尔的三种食物链模型进行了论证。我们已经证明,阈值捕捞策略可以有效地通过改变捕捞频率或捕捞数量来获得混沌鱼类种群的稳定或循环行为。数值仿真结果表明了该方案的有效性。我们得到稳态;混沌Hastings和Powell模型的极限环、周期2和周期4行为。这种阈值采收策略对物种保护和渔业管理非常有用
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controlling Chaos in a Food Chain Model through Threshold Harvesting
In this paper, we propose a new harvesting strategy namely the harvesting for controlling chaotic population in a food chain model. In particular, we have taken the three species Hastings and Powell food chain model for demonstration. We have shown threshold harvesting strategy can be effectively employed to obtain a steady or cyclic behaviour from chaotic fish population by varying either the frequency of harvesting or the amount of harvesting of fish population. Numerical simulation results are presented to show the effectiveness of the scheme. We obtain steady state; limit cycle, period-2 and period-4 behaviour from chaotic Hastings and Powell model. This threshold harvesting strategy will be very useful for species conservation and fishery management
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