Branching Out

Project Summary:

Branching Out

Branching Out explores the social and cultural values attached to urban trees, integrating these insights into urban planning and management. By capturing both general and location-specific values, the project aims to shape policies that prioritize health, wellbeing, and community connections.

Most studies on urban trees neglect wider social and cultural values that cannot easily be quantified. Consequently, we do not meaningfully account for the symbolic, heritage, spiritual, social, and cultural values of treescapes.

This problem is leading to protests arising around individual trees as a result – such as the Sheffield street trees. And pressures from business and housing developments are making the problem worse.

It is clear that local authorities need a vision of future societal needs and the forms of future trees and urban forests that might work.

“Branching Out is a very exciting project to be part of. Not only do we have the opportunity to make a real difference to the way that social and cultural values of trees are properly considered, leading to fully rounded and informed planning and policy-making. But also to integrate our research in storytelling with environmental and social science expertise, as a way of bringing additional voices and experiences into the public discourse around the future of our urban treescapes.”

– Professor Mike Wilson, Project Lead

HOW?

This study is exploring the social and cultural values of urban trees across York, Cardiff, and Milton Keynes through:

• Co-production: working with citizens and stakeholders to develop a holistic value framework
• Storytelling: capturing meaning and value of the past, present and future of tree through narrative accounts
• Mapping: linking biophysical features with social and cultural values. The team’s approach will map both values that are generalisable and those that are particular and highly situated.

The researchers are also developing detailed maps of the focal cities’ urban treescapes by combining citizen science, urban tree observatories, hyperspectral remote sensing, historic mapping, and amenity modelling – resulting in Europe’s largest, most robust urban tree dataset.