Dynamics of a pest-nature enemy model for IPM with repeatedly releasing natural enemy and impulsively spraying pesticides

• Published in: Advances in continuous and discrete models Vol. 2025; no. 1; p. 52
• Main Authors: Jiao, Jianjun, Dai, Xiangjun, Quan, Qi
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 14.02.2025; Springer Nature B.V
• Subjects: Analysis; Asymptotic methods; Difference and Functional Equations; Dynamic characteristics; Environmental management; Extinction; Functional Analysis; Management methods; Mathematics; Mathematics and Statistics; Numerical methods; Ordinary Differential Equations; Partial Differential Equations; Pesticides; Pests; Prediction models; Predictive control; Spraying; Pest-extinction; Impulsively spraying pesticides; Repeatedly releasing natural enemy; Pest-nature enemy model; IPM
• ISSN: 1687-1839; 2731-4235; 1687-1847
• DOI: 10.1186/s13662-025-03877-0

Agricultural intensification has led to a drastic simplification and homogenization of agriculture ecosystems, causing an increased reliance on chemical pesticides to control pests. However, these pesticides have major negative impacts on biodiversity, ecosystem services, and human health. Integrated pest management (IPM) technologies offer effective solutions to reduce the negative effects of pests while considering human and environmental health. Integrated pest management (IPM) provides a framework for the development and use of sustainable control strategies, which include the monitoring of the crop pest complex and the use of decision tools such as predictive models. In this work, we consider a pest-nature enemy model for integrated pest management with repeatedly releasing natural enemy and impulsively spraying pesticides. Employing mathematical methods, we obtain the globally asymptotically stable condition for pest-extinction boundary periodic solution of system ( 2.1 ). The permanent condition of system ( 2.1 ) is also obtained. The controlling threshold of pest extinction can be easily calculated under conditions ( H 1 ) and ( H 2 ) . Furthermore, numerical methods are used to demonstrate the complex dynamic properties of system ( 2.1 ). Our results provide effective approaches for integrated pest management.