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This project will develop a multi-criteria assessment framework to evaluate the benefits, constraints and risks of productive tree species, and collaborate with stakeholders to prioritise species for national deployment to drive diversification and increase resilience.

This project aims to make better use of existing data on timber and related topics to improve the evidence base on current use and future availability of timber.

This project aims to improve the inter-annual monitoring of tree growth across England by developing the foundations for a cost-effective, robust and representative national network.

This project will use remote sensing to map structural diversity across English woodlands, complement locally derived woodland condition assessments, and test the impacts of forest management on structural diversity and carbon sequestration. We will also engage with private woodland owners through a Forest Lab project called ‘Living Layers’.

PEATFLUX+ will provide essential GHG balance quantification for forest-to-bog conversion, allowing the 2nd year of GHG flux measurements for model calibration, LCA analysis, and adding important new evidence on hydrology and soil biodiversity.

This project aims to identify future temperate rainforest zones and understand species colonisation through modelling and field data collection, to support the expansion and resilience of TRFs in the UK under climate change.

The CARBINE model was first developed in 1988 by the Research Division of the Forestry Commission, now Forest Research. The development of CARBINE represented one of the first attempts to systematically model the exchanges of carbon between the atmosphere, various types of forests and other long-term reservoirs of carbon such...

Project quantifying changes in soil carbon and tree biomass caused by different ground preparation practices during woodland creation.

Project measuring the soil carbon changes in the first 2 to 20 years of forest establishment of Woodland Carbon Code (WCC) sites.

Project producing, improving and developing statistics for woodland creation and change in England.