Complex spatiotemporal dynamics of a harvested prey–predator model with Crowley–Martin response function
The formation of spatiotemporal patterns is one of the most important part in the prey–predator dynamical system. In this paper, we investigate the local dynamics as well as the Turing structure through diffusion-driven instability by taking more general Crowley–Martin response function in the prey–...
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2021
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oai:doaj.org-article:631647a8bd7b4f3dabad2190f52e0fa82021-12-04T04:36:23ZComplex spatiotemporal dynamics of a harvested prey–predator model with Crowley–Martin response function2666-720710.1016/j.rico.2021.100059https://doaj.org/article/631647a8bd7b4f3dabad2190f52e0fa82021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666720721000345https://doaj.org/toc/2666-7207The formation of spatiotemporal patterns is one of the most important part in the prey–predator dynamical system. In this paper, we investigate the local dynamics as well as the Turing structure through diffusion-driven instability by taking more general Crowley–Martin response function in the prey–predator system with the effect of linear harvesting of prey and predator. All the feasible equilibrium points are extracted. Boundedness, persistence, local and global stability, and Hopf bifurcation are established for some suitable parametric conditions. The parametric space for which the Turing spatial structure takes place is found out. Different kinds of patterns are demonstrated depending on the ecological parameters of the local system and diffusion coefficients.Sajjad HossainMd. Manarul HaqueM. Humayun KabirM. Osman GaniSahabuddin SarwardiElsevierarticlePredator–prey modelStabilityHopf bifurcationHarvestingDiffusionTuring structureApplied mathematics. Quantitative methodsT57-57.97ENResults in Control and Optimization, Vol 5, Iss , Pp 100059- (2021) |
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Predator–prey model Stability Hopf bifurcation Harvesting Diffusion Turing structure Applied mathematics. Quantitative methods T57-57.97 |
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Predator–prey model Stability Hopf bifurcation Harvesting Diffusion Turing structure Applied mathematics. Quantitative methods T57-57.97 Sajjad Hossain Md. Manarul Haque M. Humayun Kabir M. Osman Gani Sahabuddin Sarwardi Complex spatiotemporal dynamics of a harvested prey–predator model with Crowley–Martin response function |
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The formation of spatiotemporal patterns is one of the most important part in the prey–predator dynamical system. In this paper, we investigate the local dynamics as well as the Turing structure through diffusion-driven instability by taking more general Crowley–Martin response function in the prey–predator system with the effect of linear harvesting of prey and predator. All the feasible equilibrium points are extracted. Boundedness, persistence, local and global stability, and Hopf bifurcation are established for some suitable parametric conditions. The parametric space for which the Turing spatial structure takes place is found out. Different kinds of patterns are demonstrated depending on the ecological parameters of the local system and diffusion coefficients. |
format |
article |
author |
Sajjad Hossain Md. Manarul Haque M. Humayun Kabir M. Osman Gani Sahabuddin Sarwardi |
author_facet |
Sajjad Hossain Md. Manarul Haque M. Humayun Kabir M. Osman Gani Sahabuddin Sarwardi |
author_sort |
Sajjad Hossain |
title |
Complex spatiotemporal dynamics of a harvested prey–predator model with Crowley–Martin response function |
title_short |
Complex spatiotemporal dynamics of a harvested prey–predator model with Crowley–Martin response function |
title_full |
Complex spatiotemporal dynamics of a harvested prey–predator model with Crowley–Martin response function |
title_fullStr |
Complex spatiotemporal dynamics of a harvested prey–predator model with Crowley–Martin response function |
title_full_unstemmed |
Complex spatiotemporal dynamics of a harvested prey–predator model with Crowley–Martin response function |
title_sort |
complex spatiotemporal dynamics of a harvested prey–predator model with crowley–martin response function |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/631647a8bd7b4f3dabad2190f52e0fa8 |
work_keys_str_mv |
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