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Adaptive release of natural enemies in a pest-natural enemy system with pesticide resistance

Adaptive release of natural enemies in a pest-natural enemy system with pesticide resistance

Liang, Juhua, Tang, Sanyi, Cheke, Robert A. ORCID: 0000-0002-7437-1934 and Wu, Jianhong (2013) Adaptive release of natural enemies in a pest-natural enemy system with pesticide resistance. Bulletin of Mathematical Biology, 75 (11). pp. 2167-2195. ISSN 0092-8240 (Print), 1522-9602 (Online) (doi:https://doi.org/10.1007/s11538-013-9886-6)

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Abstract

Integrated pest management options such as combining chemical and biological control are optimal for combating pesticide resistance, but pose questions if a pest is to be controlled to extinction. These questions include (i) what is the relationship between the evolution of pesticide resistance and the number of natural enemies released? (ii) How does the cumulative number of natural enemies dying affect the number of natural enemies to be released? To address these questions, we developed two novel pest-natural enemy interaction models incorporating the evolution of pesticide resistance. We investigated the number of natural enemies to be released when threshold conditions for the extinction of the pest population in two different control tactics are reached. Our results show that the number of natural enemies to be released to ensure pest eradication in the presence of increasing pesticide resistance can be determined analytically and depends on the cumulative number of dead natural enemies before the next scheduled release time.

Item Type: Article
Additional Information: [1] Accepted: 23 July 2013. [2] First published online: 13 August 2013. [3] Published in print: 1 November 2013.
Uncontrolled Keywords: IPM, pest resistance, frequency of pesticide applications, biological control, dynamic threshold, cumulative number of deaths
Subjects: S Agriculture > S Agriculture (General)
S Agriculture > SB Plant culture
T Technology > TD Environmental technology. Sanitary engineering
Faculty / Department / Research Group: Faculty of Engineering & Science > Natural Resources Institute
Last Modified: 18 Oct 2016 10:12
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/10293

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