We use some essential cookies to make this website work.
We’d like to set additional cookies to understand how you use forestresearch.gov.uk, remember your settings and improve our services.
We also use cookies set by other sites to help us deliver content from their services.
Ecosystem service assessment tools, such as the i-Tree suite of tools, use tree allometry equations to quantify and value various ecosystem services provided by an urban forest.
This work used data collected by several i-Tree Eco assessments to define the relationships between key biometric variables of urban trees (diameter at breast height – DBH, crown width and height) and investigate how those relationships change with different locations and tree species.
Future work will consider the results of this project and trees grown in rural environments.
This research started in April 2014 and is currently ongoing.
The study found that mean allometric relationships between the DBH, heights and crown widths of urban trees significantly differs from one urban area to another. The relationships are influenced as much by the complex effect of environmental and management factors specific to particular urban areas, as they are by the regional climate. Common patterns of variation were only identifiable for some of the species suggesting that external factors impact on the growth of different species in different ways. The variations in relationships were found to be greater in mature trees than in younger trees.
Vaz Monteiro, M., Doick, K.J., Handley, P. (2016). Allometric relationships for urban trees in Great Britain. Urban Forestry & Urban Greening, 19, 223-236.
Climate change represents a significant threat to urban infrastructure, environmental quality and the health of city dwellers. Green infrastructure is itself at risk through greater extremes in temperature fluctuation, consequent flourishing of tree pests and diseases, drought and perceived increased risk of subsidence leading to tree removal.
There is no clear system for determining the biophysical interactions, benefits, or managing potential trade-offs within a risk-benefit context, to optimally support the protection and sustainable regeneration of UK towns and cities. The Urban Trees and Greenspace in a Changing Climate Programme intends to develop such a system through consolidating and building upon existing work to provide the evidence base for urban trees, definition and communication of best practice guidance, and robust assessment, evaluation and dissemination tools so that the risks and benefits of urban tree placement can be more fully assessed by society, policymakers and planners.
The Programme also maintains the centre of excellence which FR has developed over several decades on land regeneration practices to establish and maintain urban greenspaces on former brownfield and contaminated sites.
Research to understand the contribution that urban trees make with respect to: the resilience of current and planned urban tree stocks to climate change, their role in regulating temperatures, and water management in urban areas
Bringing a fully functioning i-Tree Eco to the UK to support the quantification, valuation and resource management of urban trees, greenspaces and forests.
Urban Forest Scientist
Cookies are files saved on your phone, tablet or computer when you visit a website.
We use cookies to store information about how you use the dwi.gov.uk website, such as the pages you visit.
Find out more about cookies on forestresearch.gov.uk
We use 3 types of cookie. You can choose which cookies you're happy for us to use.
These essential cookies do things like remember your progress through a form. They always need to be on.
We use Google Analytics to measure how you use the website so we can improve it based on user needs. Google Analytics sets cookies that store anonymised information about: how you got to the site the pages you visit on forestresearch.gov.uk and how long you spend on each page what you click on while you're visiting the site
Some forestresearch.gov.uk pages may contain content from other sites, like YouTube or Flickr, which may set their own cookies. These sites are sometimes called ‘third party’ services. This tells us how many people are seeing the content and whether it’s useful.