Modelling approach for biological control of insect pest by releasing infected pest

被引:25
作者
Tan, Yuanshun [1 ,2 ]
Chen, Lansun [2 ,3 ]
机构
[1] Chongqing Jiaotong Univ, Dept Math & Phys, Chongqing 400074, Peoples R China
[2] Dalian Univ Technol, Dept Appl Math, Dalian 116024, Peoples R China
[3] Fujian Normal Univ, Minnan Sci & Technol Inst, Fuzhou 362332, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
PREDATOR-PREY SYSTEM; STABILITY; DYNAMICS; IPM;
D O I
10.1016/j.chaos.2007.01.098
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Models of biological control have a long history of theoretical development that have focused on the interactions between a predator and a prey. Here we have extended the classical epidemic model to include a continuous and impulsive pest control strategies by releasing the infected pests bred in laboratory. For the continuous model, the results imply that the susceptible pest goes to extinct if the threshold condition R-0 < 1. While R-0 > 1, the positive equilibrium of continuous model is globally asymptotically stable. Similarly, the threshold condition which guarantees the global stability of the susceptible pest-eradication periodic solution is obtained for the model with impulsive control strategy. Consequently, based on the results obtained in this paper, the control strategies which maintain the pests below an acceptably low level are discussed by controlling the release rate and impulsive period. Finally, the biological implications of the results and the efficiency of two control strategies are also discussed. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:304 / 315
页数:12
相关论文
共 50 条
[1]   Hybrid approach for pest control with impulsive releasing of natural enemies and chemical pesticides: A plant-pest-natural enemy model [J].
Jatav, Kunwer Singh ;
Dhar, Joydip .
NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2014, 12 :79-92
[2]   Mathematical modelling to control a pest population by infected pests [J].
Sun, Shulin ;
Chen, Lansun .
APPLIED MATHEMATICAL MODELLING, 2009, 33 (06) :2864-2873
[3]   Theoretical framework for biological control of pest: a mathematical modeling approach [J].
Ayoade, Abayomi Ayotunde ;
Thota, Srinivasarao ;
Shah, Zahir .
Environmental Science and Pollution Research, 2024, 31 (42) :54453-54462
[4]   Pest-predator Model with Impulsively Releasing Infective Pests and Natural Enemies for Pest Control [J].
Xu, Weijian .
PROCEEDINGS OF THE 7TH CONFERENCE ON BIOLOGICAL DYNAMIC SYSTEM AND STABILITY OF DIFFERENTIAL EQUATION, VOLS I AND II, 2010, :368-372
[5]   Modelling Plant-Pest-Predator Interactions with Threshold Control [J].
Hall, A. ;
Lescourret, F. .
VIII INTERNATIONAL SYMPOSIUM ON MODELLING IN FRUIT RESEARCH AND ORCHARD MANAGEMENT, 2008, 803 :61-68
[6]   Pest control: A modelling approach Comment on "Multiscale approach to pest insect monitoring: Random walks, pattern formation, synchronization, and networks" by S. Petrovskii, N. Petrovskaya and D. Bearup [J].
Tyson, Rebecca C. .
PHYSICS OF LIFE REVIEWS, 2014, 11 (03) :526-528
[7]   Biological pest control by investing crops in pests [J].
Ito, Hiroshi C. ;
Kondo, Natsuko I. .
POPULATION ECOLOGY, 2012, 54 (04) :557-571
[8]   Models for integrated pest control and their biological implications [J].
Tang, Sanyi ;
Cheke, Robert A. .
MATHEMATICAL BIOSCIENCES, 2008, 215 (01) :115-125
[9]   Modelling the Effects of Pest Control with Development of Pesticide Resistance [J].
Liu, Bing ;
Kang, Bao-lin ;
Tao, Feng-mei ;
Hu, Gang .
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2021, 37 (01) :109-125
[10]   A Theoretical Approach on Controlling Agricultural Pest by Biological Controls [J].
Mondal, Prasanta Kumar ;
Jana, Soovoojeet ;
Kar, T. K. .
ACTA BIOTHEORETICA, 2014, 62 (01) :47-67