Wood, Claire
ORCID: https://orcid.org/0000-0002-0394-2998; Smart, Simon
ORCID: https://orcid.org/0000-0003-2750-7832; Bunce, Robert.
2021
The ‘Bunce’ Woodland Survey of Great Britain: latest news from
the 2019–2022 re-survey.
In: ialeUK Conference 2021: The Landscape Ecology of Forests, Woodlands and Trees, Online, 7-8 Sept 2021.
(Unpublished)
Abstract
Britain’s woods are suffering the impacts of increasing numbers of new pests and diseases, inappropriate levels
of grazing and browsing, climate change, nitrogen deposition, and improper use or management. As the natural
world faces these growing threats and challenges, the value of long-term datasets to help understand these issues
increases rapidly.
One such long-term survey is the ‘Bunce survey’ of woodlands, a ground-breaking survey, first undertaken in 1971
by Professor Bunce and colleagues at the former Nature Conservancy, using a robust methodology for surveying
soils and vegetation (understorey and canopy). This provided a baseline for tracking change in British woodland,
and the methods went on to form the basis of the wider UK Countryside Survey. The original survey focused on 103
broadleaved woods across Britain and 27 native pinewoods in Scotland.
Starting in 2019, the UK Centre for Ecology and Hydrology are managing a repeat of the survey with the support
of the Woodland Trust and a number of other organisations. The broadleaved woods have been re-surveyed once
before, in 2000–2003, whilst the pinewoods have never been re-surveyed until now. The new data set will give
us vital information about changes in light levels, soil pH and the activities of other species, which are in turn
affected by wider environmental drivers, both natural and manmade, and by the management regime adopted for
the wood itself.
An update regarding the progress of the latest re-survey will be provided, along with information concerning the
methodologies and practicalities of undertaking such a survey.
Documents
Full text not available from this repository.
(Request a copy)
Information
Library
Share
![]() |
