2016
DOI: 10.1007/s11071-016-2844-8
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Prey cannibalism alters the dynamics of Holling–Tanner-type predator–prey models

Abstract: Abstract. Cannibalism, which is the act of killing and at least partial consumption of conspecifics, is ubiquitous in nature. Mathematical models have considered cannibalism in the predator primarily, and show that predator cannibalism in two species ODE models provides a strong stabilizing effect. There is strong ecological evidence that cannibalism exists among prey as well, yet this phenomenon has been much less investigated. In the current manuscript, we investigate both the ODE and spatially explicit form… Show more

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Cited by 40 publications
(33 citation statements)
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“…During the last decades, mathematics biology has become one of the important research areas . Specially, many scholars investigated the dynamic behaviors of the ecosystem with cannibalism (see [28][29][30][31][32][33][34] and the references cited therein). Cannibalism often occurs in plankton, fishes, spiders [28], and social insect populations [29].…”
Section: Introductionmentioning
confidence: 99%
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“…During the last decades, mathematics biology has become one of the important research areas . Specially, many scholars investigated the dynamic behaviors of the ecosystem with cannibalism (see [28][29][30][31][32][33][34] and the references cited therein). Cannibalism often occurs in plankton, fishes, spiders [28], and social insect populations [29].…”
Section: Introductionmentioning
confidence: 99%
“…Sufficient conditions which ensure the global stability of the positive equilibrium and the existence of a unique limit cycle have been obtained, respectively. In 2016, Basheer et al [31] proposed the prey-predator model with prey cannibalism as follows:…”
Section: Introductionmentioning
confidence: 99%
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“…= 0.1, e 1 = 0.9, e 2 = 0.5, h 1 = 2.0, h 2 = 1.0, b = 0.2, δ 1 = 0.1, a = 0(A) Solid curves are the density change for each species of the system (129)-(132) under e = K and the dashed line are the optimal state of the control system (43)-(46) for the objective function J 1 (u 1 , u 2 ) (B) Optimal controls of J 1 (u 1 , u 2 ) with the above parameter set (73).…”
mentioning
confidence: 99%