On the impulsive controllability and bifurcation of a predator-pest model of IPM

From a practical point of view, the most efficient strategy for pest control is to combine an array of techniques to control the wide variety of potential pests that may threaten crops in an approach known as integrated pest management (IPM). In this paper, we propose a predator-prey (pest) model of IPM in which pests are impulsively controlled by means of spraying pesticides (the chemical control) and releasing natural predators (the biological control). It is assumed that the biological and chemical control are used with the same periodicity, but not simultaneously. The functional response of the predator is allowed to be predator-dependent, in the form of a Beddington-DeAngelis functional response, rather than to have a perhaps more classical prey-only dependence. The local and global stability of the pest-eradication periodic solution, as well as the permanence of the system, are obtained under integral conditions which are shown to have biological significance. In a certain limiting case, it is shown that a nontrivial periodic solution emerges via a supercritical bifurcation. Finally, our findings are confirmed by means of numerical simulations.

[1]  Lansun Chen,et al.  Bifurcation of nontrivial periodic solutions for an impulsively controlled pest management model , 2008, Appl. Math. Comput..

[2]  Bing Liu,et al.  Dynamical behavior of Volterra model with mutual interference concerning IPM , 2004 .

[3]  Ray F. Smith,et al.  The integrated control concept , 1959 .

[4]  L. Ginzburg,et al.  The nature of predation: prey dependent, ratio dependent or neither? , 2000, Trends in ecology & evolution.

[5]  Ray F. Smith,et al.  THE INTEGRATION OF CHEMICAL AND BIOLOGICAL CONTROL OF , 1959 .

[6]  Lansun Chen,et al.  The dynamics of a prey-dependent consumption model concerning impulsive control strategy , 2005, Appl. Math. Comput..

[7]  R. Arditi,et al.  Coupling in predator-prey dynamics: Ratio-Dependence , 1989 .

[8]  R. Stark,et al.  The Pesticide Conspiracy , 1979 .

[9]  A. Gutierrez Physiological Basis of Ratio-Dependent Predator-Prey Theory: The Metabolic Pool Model as a Paradigm , 1992 .

[10]  J. Beddington,et al.  Mutual Interference Between Parasites or Predators and its Effect on Searching Efficiency , 1975 .

[11]  Shengqiang Liu,et al.  A Stage-structured Predator-prey Model of Beddington-DeAngelis Type , 2006, SIAM J. Appl. Math..

[12]  Paul DeBach,et al.  Biological Control by Natural Enemies. , 1975 .

[13]  J. F. Gilliam,et al.  FUNCTIONAL RESPONSES WITH PREDATOR INTERFERENCE: VIABLE ALTERNATIVES TO THE HOLLING TYPE II MODEL , 2001 .

[14]  S. Ellner,et al.  Testing for predator dependence in predator-prey dynamics: a non-parametric approach , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[15]  BingLiu,et al.  The Dynamics of a Predator-prey Model with Ivlev's Functional Response Concerning Integrated Pest Management , 2004 .

[16]  V. Lakshmikantham,et al.  Theory of Impulsive Differential Equations , 1989, Series in Modern Applied Mathematics.

[17]  M. L. Luff,et al.  The potential of predators for pest control , 1983 .

[18]  R. J. de Boer,et al.  A Formal Derivation of the “Beddington” Functional Response , 1997 .

[19]  R. van den Bosch,et al.  The Pesticide Conspiracy , 2023 .

[20]  Yang Kuang,et al.  Global qualitative analysis of a ratio-dependent predator–prey system , 1998 .

[21]  Sanyi Tang,et al.  Modelling and analysis of integrated pest management strategy , 2004 .

[22]  Donald L. DeAngelis,et al.  A Model for Tropic Interaction , 1975 .

[23]  Bing Liu,et al.  The Dynamics of a Predator-prey Model with Ivlev’s Functional Response Concerning Integrated Pest Management , 2004 .

[24]  J. Hale,et al.  Methods of Bifurcation Theory , 1996 .

[25]  H. I. Freedman Graphical stability, enrichment, and pest control by a natural enemy , 1976 .

[26]  Paul Georgescu,et al.  IMPULSIVE CONTROL STRATEGIES FOR PEST MANAGEMENT , 2007 .

[27]  Jianjun Jiao,et al.  Pest management through continuous and impulsive control strategies , 2007, Biosyst..