Using optimality models to improve the efficacy of parasitoids in biological control programmes
Biological control of insect pests relies on the ability of natural enemies to limit pest populations. The behaviours expressed by natural enemies against their prey or hosts are modulated by a number of factors and a better understanding of these factors is key to obtaining more efficacious pest co...
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Published in | Entomologia experimentalis et applicata Vol. 158; no. 1; pp. 2 - 16 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Blackwell Publishing Ltd
01.01.2016
Wiley Subscription Services, Inc Wiley |
Subjects | |
Online Access | Get full text |
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Summary: | Biological control of insect pests relies on the ability of natural enemies to limit pest populations. The behaviours expressed by natural enemies against their prey or hosts are modulated by a number of factors and a better understanding of these factors is key to obtaining more efficacious pest control. We propose here that optimality models based upon a behavioural ecology approach can provide a framework that should enable optimisation of biological control practices. We limit our discussion to parasitoid natural enemies and review the factors known to influence the behaviour of these insects. The most important areas that have been studied extensively in the behavioural ecology of insect parasitoids are addressed here: (1) residence time in a host patch, (2) clutch size, (3) sex ratio, (4) host and patch marking, and (5) diet choice. We discuss the implications of the incorporation of these optimality models into efficacious biological control practices and suggest areas where a better knowledge of the behavioural ecology of these insects could improve the efficacy of parasitoid‐based pest control. |
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Bibliography: | ark:/67375/WNG-HLGQTPN4-Q istex:606A4A41FA1E527B2FA842A5913009D7EA3C12B5 ArticleID:EEA12378 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0013-8703 1570-7458 |
DOI: | 10.1111/eea.12378 |