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Modelling economic impact and strategies to increase resilience against tree disease outbreaks

ReferenceBB/L01243X/1
Principal Investigator / Supervisor Professor Christopher Gilligan
Co-Investigators /
Co-Supervisors
Institution University of Cambridge
DepartmentPlant Sciences
Funding typeResearch
Value (£) 273,611
StatusCompleted
TypeResearch Grant
Start date 30/06/2014
End date 23/12/2017
Duration42 months

Abstract

Our proposal aims to construct a new generation of models built upon an integration of epidemiological, ecological and economic factors that together determine the resilience of forest systems to incursions by infectious agents, and the supply of forest ecosystem services. It will allow the economic costs and benefits of disease response strategies to be evaluated from the perspectives of both private landowners and public policy choice. A key underlying idea behind the modelling is to characterise forest management options in terms of resistance and resilience to disease. Our starting point is a combination of an optimal control model and a form of discounted net benefit tailored towards multiple outcomes of forestry (timber, C sequestration and biodiversity). The model will be extended to include multiple forest types and multiple outcomes. A decision maker will have a choice of different forest types to be established in different locations. Subsequently we will develop a model incorporating multiple forest owners, where each agent is a land manager who controls a number of patches. A combination of multiple objectives and management strategies with spatial interactions across a potentially heterogeneous landscape results in an analytically intractable model and we will therefore use an agent-based model. We will also develop a real-options approach to explore how the inclusion of uncertainty and options changes the management strategies emerging from the optimal control and agent-based models described above. In order to fully parameterise the model particularly for non-market environmental costs and benefits, we will undertake a choice modelling exercise to measure the public's willingness to pay for disease mitigation and the value of avoided damages. Finally, we will use the modelling framework developed in the project to rank the policy options available to both the individual manager and to the government organisations.

Summary

Context Forests in the United Kingdom are facing increasing pressures from pests and pathogens. An increase in the volume and global scale of trade, coupled with the evolution and adaptation of pests in the context of global change, has led to new diseases and pests appearing in the UK at an increasing rate. Thus, the issue is not so much whether a new epidemic will emerge in the next years, but when and how it will happen. Tree diseases result in economic costs in terms both of losses in timber values and environmental costs such as impacts on forest landscapes. However, measures to reduce the likelihood of occurrence or speed and extent of spreading the UK are also costly to forest managers. There is thus an important balance to be struck. Understanding the costs and benefits of management options to reduce disease risk requires the researcher to jointly consider both environmental and economic drivers. The characteristics of the physical and biological environment affect the spread of plant diseases, but the response of forest managers also determines this spread. Moreover, the outcomes for a given forest manager of their own actions depends on the actions of others in the landscape, since it is the overall spatial pattern of land management which determines disease spread. Forests in the UK provide a range of important ecosystem services. Forests are used for the production of timber, but also have recreational and aesthetic values and play a key role in the carbon cycle. Land management policies which maximize the non-monetary (e.g. conservation) or monetary (e.g. timber) value of output do not necessarily lead to a forest landscape structure, tree species composition or forestry practices that are best for disease risk minimization. There is a potential conflict between enhancing the carbon sequestration and provisioning and cultural ecosystem services of forests on one hand, and increasing the resistance and resilience of forest ecosystems with regard to outbreaks of pests and pathogens on the other. Aims and objectives In this project, an interdisciplinary team of mathematicians, forest ecologists and economists will work together to build a series of models to allow us to study the ways in which different management options can reduce risks and expected damages from a range of forest diseases. Besides considering the effects of disease management options on the spread of diseases, the models will generate information on the effects of these options on the supply of other ecosystem services from forests, such as carbon sequestration and storage, and recreation opportunities, as well as on an indicator of forest biodiversity. Combined with a "Choice Experiment" implemented with members of the general public, these models will allow us to measure the benefits and costs of these management options, and to study which policy options offer best value for public money. An important aspect of the modelling work will be to show the spatial interactions between forests which are key to understanding disease spread. We will also study the implications of uncertainty on the part of forest managers over the effects of their actions on the best choice of option, using a real options approach. Potential applications and benefits The project will provide results that will be of use to forest managers and to government agencies and departments which are concerned with tree and plant diseases and forest management. A risk ranking of forest management options, and a cost-benefit ranking of management options will help improve the quality of forest disease management and policy design. A wide range of stakeholders will be included in the project's knowledge exchange activities to ensure the widest application of these insights. The project will also advance scientific methods in the study of invasive diseases which are linked to land management.

Impact Summary

Who will benefit? We anticipate that the following groups will benefit from our work: (i) The private forestry sector, including both large international firms such as UPM Tilhill, and smaller scale forest owners and managers, along with the tree nursery sector and private estates; (ii) The voluntary forestry sector, including the Woodland Trust and forest-owning charities such as RSPB and National Trust, and county Wildlife Trusts; (iii) Government policy makers such as DEFRA, FERA, the Scottish Government and the Welsh Government; (iv) The Forestry Commission, Natural Resources Wales, Scottish Natural Heritage, and Forest Research; (v) The scientific and economics research communities internationally; (vi) Members of the public who care about woodlands and forests. How will they benefit? The high current profile of tree diseases in the UK and internationally has created an unprecedented level of attention from a wide range of stakeholders in government, agencies and the private sector. We will early disseminate the message that inter-disciplinary ecological and economic research has the potential to provide a significant advance in the evidence required to improve the management of forest systems for disease prevention, control and mitigation. We will use key contacts as well as more open media to actively engage with these sectors at the start of the project and invite broad participation at the project stakeholder workshops. For the private forestry sector, the main benefits will be in terms of new knowledge about the effectiveness of management options at the level of individual forests and the landscape. The voluntary forestry sector also faces similar problems with regard to disease risk and the need for spatially-coordinated management. Provision of a ranking of management options according to their impact on resistance and resilience will also be of use to private forest managers in terms of which kinds of forest they prioritise for investments. Governments will potentially benefit from new evidence of the spatial- and cost-effectiveness of policy options, along with information on how the public prioritises? and values government interventions in disease control and mitigation. Government can use the ranking of management options in deciding details of advisory and funding schemes for changes in forestry practice. The Forestry Commission, Natural Resources Wales, Scottish Natural Heritage, and Forest Research will benefit through the generation of insights into the social benefits and costs of alternative management interventions and from improved knowledge of new research and modelling methods acquired through their close participation in the project work. The spatial modelling work will also assist these bodies in understanding how economic incentives combine with environmental and epidemiological factors to determine the spread of disease. The generic modelling approach will have impact on understanding of diseases in other land-use sectors. The international research community will benefit from our fundamental research, development of models, and provision of novel data. We will share our data primarily via EIDC. We will engage with the international research community via publications in high profile journals and contributions at international conferences and workshops; we will organise an international conference to communicate the results to a wide interdisciplinary audience. Serious forest dieback, and control through tree felling will have a direct impact on wider society through reduced provision of ecosystem services and some control measures may necessitate severe restrictions on public access to forest landscapes. Members of the public will therefore gain in that our research will facilitate more effective interventions for tree diseases, which could reduce the significant losses in ecosystem services, and restrict the geographical areas that need to be subjected to drastic control measures.
Committee Not funded via Committee
Research TopicsCrop Science, Microbiology, Plant Science
Research PriorityX – Research Priority information not available
Research Initiative Tree Health and Plant Biosecurity Initiative (THAPBI) [2013-2015]
Funding SchemeX – not Funded via a specific Funding Scheme
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