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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 language | English |
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Number of pages | 68 |
Publication status | Published - 2021 |
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Dive into the research topics of 'Uplandia: Making better policy in complex upland systems. Final Report'. Together they form a unique fingerprint.Projects
- 1 Finished
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Uplandia: Systems modelling for evidence-informed peatland policy
Clay, G. (PI)
21/12/20 → 31/03/21
Project: Research