2020
DOI: 10.1042/etls20200069
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Modelling plant health for policy

Abstract: 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… Show more

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Cited by 3 publications
(1 citation statement)
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“…Applicability is defined as the specificity of evidence to the problem and crucially its useability for solving it. For example, if there is a mismatch between the data required by a research solution and the data collected by stakeholders, the solution is unlikely to be adopted by the intended audience (Dunn & Laing, 2017; Jones & Kleczkowski, 2020). Timing describes the alignment of research outputs with a window of opportunity for stakeholder action, for example, is knowledge transferred in time for symptoms to be visible on seasonal hosts or for annual resource allocations to be altered (Cook et al., 2017)?…”
Section: Introductionmentioning
confidence: 99%
“…Applicability is defined as the specificity of evidence to the problem and crucially its useability for solving it. For example, if there is a mismatch between the data required by a research solution and the data collected by stakeholders, the solution is unlikely to be adopted by the intended audience (Dunn & Laing, 2017; Jones & Kleczkowski, 2020). Timing describes the alignment of research outputs with a window of opportunity for stakeholder action, for example, is knowledge transferred in time for symptoms to be visible on seasonal hosts or for annual resource allocations to be altered (Cook et al., 2017)?…”
Section: Introductionmentioning
confidence: 99%