Optimal Application Timing of Pest Control Tactics in Nonautonomous Pest Growth Model
Joint Authors
Tang, Sanyi
Zhang, Shujuan
Liang, Juhua
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Considering the effects of the living environment on growth of populations, it is unrealistic to assume that the growth rates of predator and prey are all constants in the models with integrated pest management (IPM) strategies.
Therefore, a nonautonomous predator-prey system with impulsive effect is developed and investigated in the present work.
In order to determine the optimal application timing of IPM tactics, the threshold value which guarantees the stability of pest-free periodic solution has been obtained firstly.
The analytical formula of optimal application timings within a given period for different cases has been obtained such that the threshold value is the smallest, which is the most effective in successful pest control.
Moreover, extensively numerical investigations have also been confirmed our main results and the biological implications have been discussed in more detail.
The main results can guide the farmer to design the optimal pest control strategies.
American Psychological Association (APA)
Zhang, Shujuan& Liang, Juhua& Tang, Sanyi. 2014. Optimal Application Timing of Pest Control Tactics in Nonautonomous Pest Growth Model. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1014513
Modern Language Association (MLA)
Zhang, Shujuan…[et al.]. Optimal Application Timing of Pest Control Tactics in Nonautonomous Pest Growth Model. Abstract and Applied Analysis No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1014513
American Medical Association (AMA)
Zhang, Shujuan& Liang, Juhua& Tang, Sanyi. Optimal Application Timing of Pest Control Tactics in Nonautonomous Pest Growth Model. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1014513
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014513