2022
DOI: 10.1007/s11071-022-07625-x
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Spatiotemporal dynamics induced by nonlocal competition in a diffusive predator-prey system with habitat complexity

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Cited by 36 publications
(3 citation statements)
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“…Research in this interdisciplinary field has not only expanded our understanding of the life sciences but has also had a profound impact on practical applications such as medicine, ecology, and agriculture. Among them, many researchers [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] focus on the study of predator-prey systems in biomathematics. The study of predator-prey systems not only contributes to the development of scientific theories, but is also directly related to the sustainable development of human society and the health of ecosystems.…”
Section: Introductionmentioning
confidence: 99%
“…Research in this interdisciplinary field has not only expanded our understanding of the life sciences but has also had a profound impact on practical applications such as medicine, ecology, and agriculture. Among them, many researchers [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] focus on the study of predator-prey systems in biomathematics. The study of predator-prey systems not only contributes to the development of scientific theories, but is also directly related to the sustainable development of human society and the health of ecosystems.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, many reaction-diffusion equations with nonlocal competition have been used in ecological system modeling [29][30][31][32]. Research indicates that introducing nonlocal effects may lead to the emergence of multi-peaked population density distributions [32][33][34].…”
Section: Introductionmentioning
confidence: 99%
“…In nonlinear systems covering ecology, economics, sociology and many other fields, complex dynamic evolutionary behaviors, such as multiplicity, self-oscillation, and even chaos arise in the vicinity of bifurcation points [ 1 ], and various methods are adopted to enhance sensory ability for accurate manipulation and control: the bifurcation oscillator is applied as a quantum state amplifier [ 2 ], the oscillating clearance of the rolling-element bear is taken as the bifurcating parameter with repetitive errors fused into the control system [ 3 ], and deep learning is implemented for the control of the Van del Pol system [ 4 ]. Mathematically, a bifurcation takes place at a parameter value where the system loses structural stability with respect to parameter variations, i.e., a phase portrait around the equilibrium is not locally topologically conjugate to the phase portraits around the equilibrium at nearby parameter values [ 5 , 6 ], which leads the solution manifold to change significantly, and exacerbates system information acquisition and control implementation [ 7 , 8 ].…”
Section: Introductionmentioning
confidence: 99%