National Forest Inventory
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Information on the importance and use of greenspace planning to ensure adaptation to climate change
The use of greenspace to alter environmental carbon dynamics, including carbon sequestration using urban trees to allow climate change adaptation and mitigation
The main focus of this area is to support the Welsh Government’s ‘Woodlands for Wales’ policy and produce evidence and demonstrate alternative methods of forest management to clearfelling
Summary of the use of urban greenspace to reduce flood risk, through riparian woodland on floodplains
Project measuring the soil carbon changes in the first 2 to 20 years of forest establishment of Woodland Carbon Code (WCC) sites.
Analysis of 22 years of water chemistry data from afforested Welsh catchments revealed trends indicative of recovery from acidification
Forest Research, working with Forestry and Land Scotland, is leading a forest restoration Demo for the EU Horizon2020 “SUPERB” project. This demonstrates conversion to continuous cover forestry, establishment of high-elevation forests, and riparian woodlands with natural flood management measures, and will work with stakeholders to examine potential for upscaling.
The British forestry sector lacks reliable dynamic growth models for stands of improved Sitka spruce, the most important commercial forest type in Great Britain. The aim of this study is to fill this gap by trialling a new modelling framework and to lay the foundations of a future dynamic growth...
Thinning control in British woodlands
This Field Guide provides guidance on the control of volume to be removed when marking a thinning and a guide to thinning yields. There are four sections: the first describes the yield class system and how yield class is assessed in a stand. The second covers thinning practice, including the...
We provide a sequential framework for improved multi-scale habitat suitability modelling or species distribution modelling. We apply it to the lesser horseshoe bat in Britain to demonstrate its improved accuracy and ecological inference.
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