The Phenoweb project was set up to examine the effect of climate (spring temperature) on the timing (phenology) of key events that structure interactions in a woodland food web comprised of tree, caterpillar and blue tit. There is concern that climate change may lead to species interactions becoming mismatched, to the detriment of species higher up the food chain.
Since 2014 we have been collecting data on phenology and species interactions across 44 woodland sites (see map to left) that stretch 200km northwards from Edinburgh. This replication of woodland sites serves two purposes. First, the sites vary in temperature and this provides a window into the relationship between temperature and timings. Second, the sites vary in habitat and this allows us to examine how timings and their impacts on feeding relationships vary among habitats.
Major questions we are trying to address include:
1) How severe are the impacts of climate change driven disruption of feeding interactions on blue tits? This is a key step in establishing the risk that climate change poses to food webs, with the blue tits serving as a model for organisms occupying niches further up the food chain. There is abundant evidence that animals further up food chains may struggle to adjust their timings enough to keep up with their prey, but we still lack evidence as to whether this negatively impacts on population size.
2) How buffered and resilient are woodland food webs in the face of climate change? A major focus of our work is on understanding the resilience of food webs. 
For instance, can the loss of one feeding interaction be replaced by another? Or can a negative impact of climate change in one habitat be buffered by a more benign outcome in another? Answering these questions has the potential to inform conservation strategies in a changing climate.
3) Can we use space as a substitute for time to understand impacts of climate change? Because it is difficult to collect long-term data, many of the scientific insights into how plants and animals will be impacted by climate change come from studies replicated in space, under the assumption that responses to climate in space can serve as a proxy for those over time. With long-term data we will be able to examine when this widespread but rarely tested assumption holds and when it does not.