Inventory and review of quantitative models for spread of plant pests for use in pest risk assessment for the EU territory

Chapman, Daniel S.; White, Steven M. ORCID: https://orcid.org/0000-0002-3192-9969; Hooftman, Danny A.P.; Bullock, James M. ORCID: https://orcid.org/0000-0003-0529-4020. 2015 Inventory and review of quantitative models for spread of plant pests for use in pest risk assessment for the EU territory. Parma, Italy, European Food Safety Authority, 190pp. (CEH Project no. C04733)

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Abstract/Summary

This report considers the prospects for increasing the use of quantitative models for plant pest spread and dispersal in EFSA Plant Health risk assessments. The agreed major aims were to provide an overview of current modelling approaches and their strengths and weaknesses for risk assessment, and to develop and test a system for risk assessors to select appropriate models for application. First, we conducted an extensive literature review, based on protocols developed for systematic reviews. The review located 468 models for plant pest spread and dispersal and these were entered into a searchable and secure Electronic Model Inventory database. A cluster analysis on how these models were formulated allowed us to identify eight distinct major modelling strategies that were differentiated by the types of pests they were used for and the ways in which they were parameterised and analysed. These strategies varied in their strengths and weaknesses, meaning that no single approach was the most useful for all elements of risk assessment. Therefore we developed a Decision Support Scheme (DSS) to guide model selection. The DSS identifies the most appropriate strategies by weighing up the goals of risk assessment and constraints imposed by lack of data or expertise. Searching and filtering the Electronic Model Inventory then allows the assessor to locate specific models within those strategies that can be applied. This DSS was tested in seven case studies covering a range of risk assessment scenarios, pest types and dispersal mechanisms. These demonstrate the effectiveness of the DSS for selecting models that can be applied to contribute to EFSA Plant Health risk assessments. Therefore, quantitative spread and dispersal modelling has potential to improve current risk assessment protocols and contribute to reducing the serious impacts of plant pests in Europe.

Item Type:	Publication - Report
UKCEH and CEH Sections/Science Areas:	Pywell Watt
Additional Pages:	Annexes
Funders/Sponsors:	European Food Safety Authority
Additional Information. Not used in RCUK Gateway to Research.:	Full text of report and annexes available via Official URL link
Additional Keywords:	plant pest, disease, invasion, dispersal, spread, model, simulation
NORA Subject Terms:	Ecology and Environment Agriculture and Soil Science
Date made live:	20 Jul 2015 13:55 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/511332

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