Integrated pests management and food security: A mathematical analysis

Document Type : Research Paper

Authors

1 Department of Mathematics, University of Lagos, Lagos, Nigeria.

2 Department of Mathematics, Amrita School of Physical Sciences, Amrita Vishwa Vidyapeetham, Amaravati, Andhra Pradesh--522503, India.

Abstract

The basic necessities of life are food, shelter and clothing. Food is more necessary because the existence of life depends on food. In order to foster global food security, integrated pest management (IPM), an environmentally-friendly program, was designed to maintain the density of pest population in the equilibrium level below the economic damage. For years, mathematics has been an ample tool to solve and analyze various real-life problems in science, engineering, industry and so on but the use of mathematics to quantify ecological phenomena is relatively new. While efforts have been made to study various methods of pest control, the extent to which pests’ enemies as well as natural treatment can reduce crop damage is new in the literature. Based on this, deterministic mathematical models are designed to investigate the prey-predator dynamics on a hypothetical crop field in the absence or presence of natural treatment. The existence and uniqueness of solutions of the models are examined using Derrick and Grossman’s theorem. The equilibria of the models are derived and the stability analysed following stability principle of differential equations and Bellman and Cooke’s theorem. The theoretical results of the models are justified by a means of numerical simulations based on a set of reasonable hypothetical parameter values. Results from the simulations reveal that the presence of pests’ enemies on a farm without application of natural treatment may not avert massive crop destruction. It is also revealed that the application of natural treatment may not be enough to keep the density of the pest population below the threshold of economic damage unless the rate of application of natural treatment exceeds the growth rate of the pest.

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Main Subjects

References

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Computational Methods for Differential Equations
Volume 13, Issue 2
March 2025
Pages 524-537

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History

  • Receive Date: 24 January 2024
  • Revise Date: 30 March 2024
  • Accept Date: 21 April 2024

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