|Appears in Collections:||Biological and Environmental Sciences Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Inventory and review of quantitative models for spread of plant pests for use in pest risk assessment for the EU territory|
|Author(s):||Chapman, Daniel S|
White, Steven M
Hooftman, Danny A P
Bullock, James M
|Citation:||Chapman D, White S, Hooftman D & Bullock J (2015) Inventory and review of quantitative models for spread of plant pests for use in pest risk assessment for the EU territory. EFSA Supporting Publications, 12 (4), Art. No.: 795E. https://doi.org/10.2903/sp.efsa.2015.EN-795.|
|Abstract:||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.|
|Rights:||This article is published under the terms of the Creative Commons Attribution License (CC BY ND) (https://creativecommons.org/licenses/by-nd/4.0/) which allows users to copy, distribute and transmit an article, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author(s).|
|Chapman et al-EFSA-2015.pdf||Fulltext - Published Version||2.75 MB||Adobe PDF||View/Open|
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