I am interested in combining new technologies with long-term data to study variation in spring phenology across trophic levels. Drone imagery and machine learning will provide high-resolution data on tree phenology, allowing me to analyse spatial variation in producers and whether that propagates to variation in phenological optima for primary (winter moth caterpillars) and secondary (great tits) consumers and their diversity. Individual variation in trophic interactions may shape community responses to climate change more than we realise from previous work on population means, so capturing it will enable us to better understand the causes and consequences of phenological change. I graduated with an MBiol from Oxford in 2022. My project similarly quantified the consequences of phenological change in British Ophrys orchids and their pollinators, for which I earned the department’s Harley Prize.
