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

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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