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.
Preparing to search
(Aerial photo left: Patricia & Angus MacDonald/Aerographica)
The concept of green space (for example see – www.greenspacescotland.org.uk), or urban greening, has received considerable attention. It is seen as a means of attracting people into their local natural environment by improving community access, recreation opportunities and environmental and ecological quality close to, and within, communities.
The development of habitat networks is widely seen as a key mechanism for reversing the effects of fragmentation on biodiversity while delivering a range of other social and environmental benefits such as enhancement of local landscape character and greater opportunities for public access and recreational use.
This research, under the Scotland and Northern Ireland Forum For Environmental Research (SNIFFER) Urban Environment programme, aims to clarify and propose a direction for the implementation of networks in urban environments.
The project objectives are to:
Edinburgh study area:
Identification of the biodiversity networks was undertaken through:
Determination of the social networks was undertaken through:
|Type of user||Description||Possible characteristics||Friction score|
|Low dispersal||Nervous/reluctant user;
Mobility impaired (disabled, unfit, burdened – e.g. parent with child);
Unaccompanied children (travel up to 300 metres)
|Young, elderly, disabled, ethnic minority, women;
Limited mobility (elderly, disabled, people with children);
Children unaccompanied by an adult
|Medium dispersal||Average user (travel up to 500 metres)||Average mobility||Medium|
|High dispersal||Confident/keen user;
Highly mobile (fit) (travel up to 1000 metres)
|Highly mobile (strong walkers, cyclists)||Low|
The biodiversity and social networks were combined with other social and environmental datasets to identify opportunities for improving the extent and usability of urban green networks for biodiversity and people.
The example (Figure 1) demonstrates how the networks indicating accessibility and use of greenspace can be combined with the networks for high biodiversity greenspace.
The red box highlights an area where, although there is greenspace, not all is accessible for the nervous user and many of those areas that are accessible are not of high biodiversity. The greenspace may be improved by improving the biodiversity quality and accessibility of existing greenspace.
Analysis of the networks in this way can be used to suggest where such areas can be improved to benefit both people and a range of species.
The networks can also be used in conjunction with other datasets to target areas most in need of improvement.
Figure 2 indicates areas where homes do not currently have access to greenspace within low, medium and high levels of deprivation.
The red box indicates an area containing housing within a high level of deprivation which may be a priority for greenspace network improvement.
It is envisaged that multifunctional urban green networks are used to inform planning, including Structure plans and Local Biodiversity Action Plans, forming an integral part of green space planning to improve urban ecosystems and public health.
The research was funded through SNIFFER by:
Northern Research Station
Midlothian EH25 9SY
Tel: 0300 067 5965
Cookies are files saved on your phone, tablet or computer when you visit a website.
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.