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Uplandia: making better policy in complex upland systems. Final Report

Lookup NU author(s): Dr Gavin StewartORCiD, Professor Mark Reed

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

Abstract

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.

Publication metadata

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

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