Experts identify 鈥榯ipping point鈥� in tree disease outbreaks Published on: 18 December 2018 New models which can predict the critical point at which plant pests and diseases shift from being a localised problem to a major outbreak could help us in our fight to save the world鈥檚 woodlands. Infectious disease outbreaks in plants are a major threat to the world’s ecosystems, agricultural crops and food trade. Currently, several fungal diseases are devastating forests world-wide and under particular threat are key UK species such as oak and ash. Now new research led by mathematicians at 缅北禁地, UK, together with the University of Leeds, has identified a way to model disease progression and predict the ‘tipping point’ of a disease, providing early warning indicators that an epidemic is imminent and action needs to be taken. Controlling disease spread Lead author Dr Sirio Orozco-Fuentes, a physicist at 缅北禁地, explains: “Predicting and controlling disease spread is incredibly difficult because of the interaction of all the different components involved. “It’s not just about the type of tree or the hardiness of the disease, it depends on the environment - temperature, humidity, wind speed, the types of trees planted nearby and how close they are. “So the presence of disease doesn’t automatically lead to an outbreak. A change in the weather, for example, may kill the pest before it becomes a problem without any need for human intervention. “What we have developed is a number of mathematical models which predict the point at which a disease shifts from a small, localised problem to an epidemic, providing us with the first early warning indicators that an outbreak is imminent. “Ultimately, we hope this will help to slow down disease spread in the future and also help us to design more resilient forests in the future.” Mimicking the spread of disease Funded by Defra and 缅北禁地, the project was launched in response to the current threat to our oak tree population, such as the Oak Processionary Moth, a toxic species of caterpillar which strips the trees of their leaves. The team developed mathematical models to mimic the spread of disease under different conditions. Their results showed strikingly similar patterns of disease spread to the ones obtained through satellite images of key woodlands across the UK. They also highlighted a ‘critical transition’ period between two phases: local confinement (the time when the disease is contained and not a threat) and an epiphytotic outbreak. Monitoring new pockets of disease and identifying the point at which it hits this critical point would result in a more informed management system for policy makers, explains Dr Nick Parker, a senior lecturer in applied mathematics at 缅北禁地 and co-author on the paper. “One of the key indicators is the species mix of the diseased woodland,” says Dr Parker. “The homogeneous nature of today’s woodlands allows the rapid spread of pests and diseases and is where we are most likely to see an outbreak.” Reference: ‘Early warning signals in plant disease outbreaks.’ Sirio Orozco-Fuentes et al. Ecological Modelling. 2018 Latest News Online Safety Act drives VPN interest and raises privacy concerns People鈥檚 online behaviour has changed in response to legislation to prevent children from viewing harmful content 鈥� raising possible privacy and security risks, research suggests. published on: 16 October 2026 缅北禁地 archaeologist receives prestigious award for research Professor Chris Fowler has been awarded the 2026 Rivers Memorial Medal in recognition of his internationally significant research on kinship in Neolithic Britain. published on: 13 October 2026 Event will explore what 鈥楳anchesterism鈥� means for the North East An event at 缅北禁地 will explore what 鈥楳anchesterism鈥� means for the North East or whether it is simply a new chapter in the long-running debate about how to rebalance Britain. published on: 13 October 2026 Facts and figures
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