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Lookup NU author(s): Dr Gavin StewartORCiD, Professor Mark Reed
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
This project developed a Bayesian Belief Network for English uplands, representing key system components and relationships on the basis of the best available evidence. Given the policy relevance of managed and wild fire, a rapid evidence synthesis was conducted to assess factors influencing the behaviour of peatland users and managers in relation to wildfire, which informed a wildfire sub-model. By considering four scenarios, it was possible to consider how changes in the availability of public funding and/or carbon finance might alter the overall utility of uplands and provision of ecosystem services. users and managers in relation to wildfire, which informed a wildfire sub- model. By considering four scenarios (below), it was possible to consider how changes in the availability of public funding and/or carbon finance might alter the overall utility of uplands and provision of specific ecosystem services. users and managers in relation to wildfire, which informed a wildfire sub- model. By considering four scenarios (below), it was possible to consider how changes in the availability of public funding and/or carbon finance might alter the overall utility of uplands and provision of specific ecosystem services. users and managers in relation to wildfire, which informed a wildfire sub- model. By considering four scenarios (below), it was possible to consider how changes in the availability of public funding and/or carbon finance might alter the overall utility of uplands and provision of specific ecosystem services.
Author(s): Stewart GB, Glendell M, McMorran R, Troldborg M, Gagkas Z, Ovando P, Roberts M, Maynard C, Williams A, Clay G, Reed MS
Publication type: Report
Publication status: Published
Series Title:
Year: 2021
Pages: 68
Print publication date: 07/05/2021
Acceptance date: 02/05/2021
Institution: Defra and Natural England
