Pest management through continuous and impulsive control strategies

In this paper, we propose two mathematical models concerning continuous and, respectively, impulsive pest control strategies. In the case in which a continuous control is used, it is shown that the model admits a globally asymptotically stable positive equilibrium under appropriate conditions which involve parameter estimations. As a result, the global asymptotic stability of the unique positive equilibrium is used to establish a procedure to maintain the pests at an acceptably low level in the long term. In the case in which an impulsive control is used, it is observed that there exists a globally asymptotically stable susceptible pest-eradication periodic solution on condition that the amount of infective pests released periodically is larger than some critical value. When the amount of infective pests released is less than this critical value, the system is shown to be permanent, which implies that the trivial susceptible pest-eradication solution loses its stability. Further, the existence of a nontrivial periodic solution is also studied by means of numerical simulation. Finally, the efficiency of continuous and impulsive control policies is compared.

[1]  D. E. Davis,et al.  20 – BIOLOGICAL CONTROL AMONG VERTEBRATES , 1976 .

[2]  J. M. Cherrett,et al.  Biological Control by Natural Enemies. , 1976 .

[3]  Dejun Tan,et al.  Chaos in periodically forced Holling type II predator–prey system with impulsive perturbations , 2006 .

[4]  Lansun Chen,et al.  Density-dependent birth rate, birth pulses and their population dynamic consequences , 2002, Journal of mathematical biology.

[5]  P K Maini,et al.  Pattern formation in a generalized chemotactic model , 1998, Bulletin of mathematical biology.

[6]  B. Shulgin,et al.  Pulse vaccination strategy in the SIR epidemic model , 1998, Bulletin of mathematical biology.

[7]  Stephen D. Wratten,et al.  Measures of Success in Biological Control , 2000 .

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

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

[10]  F. Schulthess,et al.  Pathogen incidence and their potential as microbial control agents in IPM of maize stem borers in West Africa , 1999, BioControl.

[11]  D. Bainov,et al.  Impulsive Differential Equations: Periodic Solutions and Applications , 1993 .

[12]  Lansun Chen,et al.  Impulsive vaccination of sir epidemic models with nonlinear incidence rates , 2004 .

[13]  Xianning Liu,et al.  Complex dynamics of Holling type II Lotka–Volterra predator–prey system with impulsive perturbations on the predator ☆ , 2003 .

[14]  J. Grasman,et al.  A two-component model of host-parasitoid interactions: determination of the size of inundative releases of parasitoids in biological pest control. , 2001, Mathematical biosciences.

[15]  Eric T. Funasaki,et al.  Invasion and Chaos in a Periodically Pulsed Mass-Action Chemostat , 1993 .

[16]  Xinzhi Liu,et al.  Impulsive Stabilization and Applications to Population Growth Models , 1995 .

[17]  H. D. Burges,et al.  Microbial control of insects and mites , 1971 .

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

[19]  L. Falcon,et al.  PROBLEMS ASSOCIATED WITH THE USE OF ARTHROPOD VIRUSES IN PEST CONTROL , 1976 .

[20]  C. B. Huffaker,et al.  Theory and practice of biological control , 1976 .

[21]  Katrin Rohlf,et al.  Impulsive control of a Lotka-Volterra system , 1998 .

[22]  P. Debach,et al.  Biological control of insect pests and weeds , 1967 .

[23]  B. Goh,et al.  Management and analysis of biological populations , 1982 .

[24]  J. Fuxa,et al.  Epizootiology of insect diseases , 1987 .

[25]  R. May,et al.  Regulation and Stability of Host-Parasite Population Interactions: I. Regulatory Processes , 1978 .

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