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

  • Gavin Stewart
  • , Miriam Glendell
  • , Rob McMorran
  • , Mads Troldborg
  • , Zisis Gagkas
  • , Paola Ovando
  • , Michaela Roberts
  • , Carly Maynard
  • , Abigail Williams
  • , Gareth Clay
  • , Mark Reed
  • Newcastle University
  • The James Hutton Institute
  • Scotland Rural College (SRUC)

Research output: Book/ReportCommissioned report

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.
Original languageEnglish
Number of pages68
Publication statusPublished - 2021

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