Plant health is relatively poorly funded compared with animal and human health issues. However, we contend it is at least as complex and likely more so given the number of pests and hosts and that outbreaks occur in poorly monitored open systems. Modelling is often suggested as a method to better consider the threats to plant health to aid resource and time poor decision makers in their prioritisation of responses. However, like other areas of science, the modelling community has not always provided accessible and relevant solutions. We describe some potential solutions to developing plant health models in conjunction with decision makers based upon a recent example and illustrate how an increased emphasis on plant health is slowly expanding the potential role of modelling in decision making. We place the research in the Credibility, Relevance and Legitimacy (CRELE) framework and discuss the implications for future developments in co-construction of policy-linked models.
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December 2020
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Cover Image
The cover of this Emerging Topics in Life Sciences special issue, Biosecurity: tools, behaviours and concepts is a Met Office infographic devised to highlight the role of meteorology in biosecurity as outlined in the paper “Use of meteorological data in biosecurity”. By fusing together multiple forms of science communication, the Met Office hope to expand the reach of science beyond the conventional research community.
Review Article|
December 14 2020
Modelling plant health for policy
Glyn Jones
;
1Fera Science Ltd, Sand Hutton, York YO41 1LZ, U.K.
2Institute for Agri-Food Research and Innovation, Agriculture Building, Newcastle University, Kings Road, Newcastle upon Tyne NE1 7RU, U.K.
Correspondence: Glyn Jones ([email protected])
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Adam Kleczkowski
Adam Kleczkowski
3Dept. of Mathematics and Statistics, University of Strathclyde, 26 Richmond Street, Glasgow G1 1XH, Scotland, U.K.
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Publisher: Portland Press Ltd
Received:
September 17 2020
Revision Received:
November 15 2020
Accepted:
November 16 2020
Online ISSN: 2397-8562
Print ISSN: 2397-8554
© 2020 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society and the Royal Society of Biology
2020
Emerg Top Life Sci (2020) 4 (5): 473–483.
Article history
Received:
September 17 2020
Revision Received:
November 15 2020
Accepted:
November 16 2020
Citation
Glyn Jones, Adam Kleczkowski; Modelling plant health for policy. Emerg Top Life Sci 15 December 2020; 4 (5): 473–483. doi: https://doi.org/10.1042/ETLS20200069
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