Sliding bifurcations of Filippov two stage pest control models with economic thresholds
Tang, Sanyi, Liang, Juhua, Xiao, Yanni and Cheke, Robert A. (2012) Sliding bifurcations of Filippov two stage pest control models with economic thresholds. SIAM Journal on Applied Mathematics, 72 (4). pp. 1061-1080. ISSN 0036-1399 (Print), 1095-712X (Online) (doi:10.1137/110847020)Full text not available from this repository.
In order to control pests, a specific management strategy called the threshold policy is proposed, which can be described by Filippov systems (or piecewise smooth systems). The aim of this work is to investigate a variety of bifurcation phenomena of the equilibria and sliding cycles of Filippov two stage structured population models with density dependent per capita birth rates and
transition rates from the juvenile class into the adult class. It is shown that interadult competition alone can give rise to multiple sliding segments and multiple pseudoequilibria, whilst interadult and interjuvenile competition together can result in rich sliding bifurcations. As the threshold value varies, local sliding bifurcations including boundary node (saddle), tangency, and pseudo–saddlenode bifurcations occur sequentially, and global sliding bifurcations including buckling bifurcations
of the sliding cycles, sliding crossing bifurcations, and pseudohomoclinic bifurcations can be present.Threshold policy control has been shown to be easily implemented and useful in pest management,which can be used to prevent the possibility of multiple pest outbreaks or cause the density of pests to stabilize at a desired level such as an economic threshold.
|Uncontrolled Keywords:||Filippov system, stage structure, sliding bifurcation, sliding homoclinic orbit,economic threshold, pest control|
|Subjects:||S Agriculture > S Agriculture (General)|
|School / Department / Research Groups:||Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agricultural Biosecurity Research Group
Faculty of Engineering & Science
|Last Modified:||14 Jul 2015 15:27|
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