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Details of Award

NERC Reference : NE/T007729/1

SMARTIES: Surveillance and Management of multiple Risks to Treescapes: Integrating Epidemiology and Stakeholder behaviour

Grant Award

Principal Investigator:
Dr AE Milne, Rothamsted Research, Net Zero and Resilient Farming
Co-Investigator:
Dr S Parnell, University of Warwick, School of Life Sciences
Co-Investigator:
Dr A Dyke, University of York, Stockholm Environment Institute
Science Area:
Terrestrial
Overall Classification:
Panel C
ENRIs:
Environmental Risks and Hazards
Global Change
Natural Resource Management
Science Topics:
Environmental modelling
Environmental protection
Earth & environmental
Trees
Plant organisms
Abstract:
Tree-species in the UK are threatened by an increasing number of pests and diseases resulting in large economic, environmental and social costs. Preventing the introduction of such threats is often difficult, therefore, early detection and successful management are key areas where science can deliver. There are over 1000 threats on the UK plant-health risk register, and many are serious pests of tree species. A tree-host may therefore face more than one threat at once. There have been previous calls for more systems approaches to managing biosecurity threats but scientific research still tends to focus on single species, ignoring possible interactions of multiple pests/ diseases and the fact that land managers focus on managing the tree, rather than managing a pest or disease. A second facet that is often neglected by science-based approaches is the ability and willingness of managers to adopt advice on the surveillance and management of pests and diseases as well as the acceptability of different approaches in wider society. In this project, we will develop a truly interdisciplinary approach to understand the key epidemiological and human behavioural factors that govern the invasion and spread of multiple threats to tree health and so determine successful surveillance and management at a whole system level, rather than on a pest specific basis. Emerging threats to UK ash trees (Fraxinus excelsior) offer an important case study for our research. This UK native tree species is currently impacted by Ash Dieback (ADB), a devastating disease which is reported to have caused an estimated loss of #15 billion to the UK economy. However, ash trees in the UK face a new threat from the potential invasion of the Emerald Ash Borer (EAB), Agrilus planipennis. Although not here yet, EAB is ranked in the top three most dangerous invasive pests by EFSA. Its presence has been confirmed in Russia and it is moving West. Surveillance for EAB in the context of the already well established ADB is likely to be much more challenging because of the uncertainties surrounding ADB and EAB interactions, Ash trees that may be impacted by both ADB and EAB will further complicate management decisions faced by landowners and policy makers. Our partnership comprises expertise in (i) modelling epidemiological processes, (ii) the design of surveillance strategies, (iii) plant pathology and entomology, (iv) the human dimensions of tree pests and diseases (v) modelling of human behaviour and forest management decision-making. We bring together the ideal combination of skills to tackle the challenge of managing new and emerging pest threats. Drawing on our experience, we will develop a model of the distribution and spread of ADB and the dispersal of EAB in a spatially explicit landscape. By analysing data on the spread of EAB from the USA and Russia we will determine the effect of both natural and anthropogenic spread that can occur. This will be used to inform and validate our epidemiological model. We will integrate this model with a novel model of stakeholder behaviour based on our social science research that captures the important attitudes and behaviours that affect decisions related to surveillance and control. Stakeholder perspectives and decision-making will be modelled dynamically allowing them to realistically change over time in response to peer and external influence. The linked models will allow us to identify how best to deploy surveillance and management resource to account for the impact of environmental conditions on risk and the sociological factors that influence biosecurity knowledge, attitudes and behaviours and identify approaches to improve social acceptability of management actions. We will use our model-based analysis to co-design surveillance and management solutions with key stakeholders including Defra EAB preparedness board, EFSA, the Forestry Commission that will inform and feed into policy development.
Period of Award:
1 Jun 2020 - 30 Nov 2023
Value:
£649,963
Authorised funds only
NERC Reference:
NE/T007729/1
Grant Stage:
Completed
Scheme:
Standard Grant FEC
Grant Status:
Closed
Programme:
Standard Grant

This grant award has a total value of £649,963  

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FDAB - Financial Details (Award breakdown by headings)

DI - Other CostsIndirect - Indirect CostsDA - InvestigatorsDA - Estate CostsDI - StaffDI - T&S
£164,738£174,605£30,365£74,690£195,513£10,052

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