Predicting impacts of extreme weather events in UK forests

Carried out by: Stirling University

Summary Description:

This research will integrate new and existing tree-ring data on Picea and Pinus species to deliver a predictive understanding of the change in tree risk, resistance, recovery and resilience to drought, in the dominant commercial conifer species in the UK. Industry outputs will include dissemination via forest industry forums, maps, and probabilistic risk and vulnerability functions which will be integrated into the decision support systems (including the online Forest Research DSS system) available and widely used by UK forest managers. Academic outputs will include scientific articles and conference presentations.

Timescale: 2018-2021

SFT Funds Awarded: £21,563

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