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Adaptation of the PESTonFARM Model to Support Decision-Making and Planning of Local Implementation of the Sterile Insect Technique in the Control of Ceratitis capitata Flies (Diptera: Tephritidae)

Authors: Slawomir Antoni Lux; Marco Colacci;

Adaptation of the PESTonFARM Model to Support Decision-Making and Planning of Local Implementation of the Sterile Insect Technique in the Control of Ceratitis capitata Flies (Diptera: Tephritidae)

Abstract

The Sterile Insect Technique (SIT) is most effective at large regional scales when applied within an area-wide framework. However, there is a need to investigate its feasibility at smaller scales, e.g., for emergency responses to local fruit fly invasions or planning for preventive release of sterile males in local high-risk zones. Available decision support tools and SIT implementation models are effective for large-scale interventions but tend to ignore the influences of fine-grained terrain structures and therefore offer little guidance for small-scale SIT operations in locally diverse landscapes. This study addresses this issue by adapting a site-specific individual-based PESTonFARM model to simulate both the behaviour and fate of individual members of ultra-small invasive medfly propagules and the post-release dispersal and mating performance of sterile males in heterogeneous and mosaic landscapes. To illustrate model operation, several SIT implementation scenarios were simulated to reveal the influence of local landscape structure on the behaviour of wild and released sterile males and to quantitatively assess the effectiveness of different SIT scenarios. Our results demonstrate the sensitivity of the model and showed that the influence of the spatiotemporal structure of local resources should not be ignored when planning local SIT operations.

Keywords

Technology, QH301-705.5, medfly, T, Physics, QC1-999, Sterile Insect Technique, local implementation, simulation, Engineering (General). Civil engineering (General), Chemistry, Sterile Insect Technique; local implementation; medfly; simulation; individual-based model; IPM, IPM, TA1-2040, Biology (General), individual-based model, QD1-999

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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