Forestry Facts & Figures 2019

A summary of statistics about woodland and forestry in the UK.

Exploring changes in ecosystem services under varying scenarios

Exploration of the resilience of woodlands to future change by assessing how ecosystem service values and natural capital stocks of woodlands may be affected by change through the application of the UK National Ecosystem Assessment (UK NEA) scenarios and different management approaches, e.g. forest diversification through the application of forest management alternatives

Detecting young trees from space

FR have established how to detect young trees from space using synthetic aperture RADAR and machine learning techniques. This will support the monitoring of the planting of tens of thousands of restock sites and new woodland across Britain. In searching for a solution researchers hypothesised that even if the trees are too small to see, maybe we could ‘feel’ them using Synthetic Aperture Radar (SAR). A different technique to utilising optical data, SAR provides ‘fuzzy’ data on the presence of objects, their size, orientation and texture. The research found that this was possible and data on whether sites had tree cover or not has been derived for extensive areas of Britain and NFI are working to operationalise the process.

Assessing the resilience of UK forests to extreme climatic events

This project aims to quantify the historic impact and legacy of extreme climatic events on UK forests using tree-ring chronologies, climate and soil data. It focuses on species of major importance to UK forestry in order to provide the information basis for building adaptive capacity into future forest planning and decision-making.

Trends in surface water chemistry in afforested Welsh catchments

Analysis of 22 years of water chemistry data from afforested Welsh catchments revealed trends indicative of recovery from acidification

BRIGIT – A consortium for enhancing UK surveillance and response to Xylella fastidiosa

A multi-partner GB wide transdisciplinary project that takes a holistic approach to enhance diagnostics, identify factors that could lead to spread and formulate response strategies to mitigate the devastating effects of X. fastidiosa.

FOSPREF-Wind

A project within the EFI Network Fund, developing a FOSS GIS modelling platform for stand growth and risk of wind damage.

Forestry Facts & Figures 2018

This booklet contains a summary of statistics about woodland and forestry. The complete statistics for 2017 are available on our forestry statistics web page.Please note – the printed version of this document is an A2 sheet folded to A6. The PDF of the document is set to print at A3 therefore some of the pages […]

Urban Forests in a European Perspective: what can the National Forest Inventory tell us?

This pilot project demonstrates that the NFI data, in combination with the DEGURBA approach, provides existing data on European urban forests. Now that we know what we have, there is potential to quantify and qualify the state and trends of European urban forests. Moving forward we can draw on existing policies and concepts such as […]

Forestry Facts & Figure 2017

This booklet contains a summary of statistics about woodland and forestry. The complete statistics for 2017 are available on our forestry statistics web page.Please note – the printed version of this document is an A2 sheet folded to A6. The PDF of the document is set to print at A3 therefore some of the pages […]

Assessing the stem straightness of trees

Stem straightness is important in determining tree and log value. The ability to make an effective assessment before harvesting is useful for forest managers and practitioners to improve forecasting, planning, marketing and resource use. This Technical Note describes three methods for assessing stem straightness in standing trees: visual assessment, photogrammetric measurement and terrestrial lidar. It […]

SCALEFORES: Scaling Rules For Ecosystem Service Mapping

We are working with Southampton University and the Centre for Ecology and Hydrology to develop and test novel modelling frameworks to explore the drivers of ecosystem services at different spatial scales in order to predict and map their delivery.