Extending a Bayesian Belief Network for ecosystem evaluation

Smith, Rognvald; Dick, Jan; Trench, Hamish; Van Oijen, Marcel. 2012 Extending a Bayesian Belief Network for ecosystem evaluation. In: 2012 Berlin Conference of the Human Dimensions of Global Environmental Change on “Evidence for Sustainable Development", Berlin, Germany, 5-6 October 2012.

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This paper explores the use of a Bayesian Belief Network (BBN) to model ecosystem services valuation. It links the stages of the process from the functioning of the natural ecosystems through the delivery of service to the human stakeholders to the valuation stakeholders put on the service delivery. The BBN is a graphical decision tool with nodes representing the states of the system and links encapsulating the evidence for dependence between parent and child nodes. A BBN differs from other decision tools because it uses probabilistic reasoning throughout, and so these networks can propagate uncertainty and can adjust for differing spatial and temporal scale dependences. The framework has been developed through application to case studies and through consideration of the requirements of one of Scotland’s National Parks. Further developments to improve the use of the tool for ecosystem services and environmental impact assessment are discussed.

Item Type: Publication - Conference Item (Paper)
Programmes: CEH Topics & Objectives 2009 - 2012 > Biodiversity > BD Topic 3 - Managing Biodiversity and Ecosystem Services in a Changing Environment
CEH Topics & Objectives 2009 - 2012 > Biogeochemistry > BGC Topic 3 - Managing Threats to Environment and Health > BGC - 3.1 - Develop temporally and spatially explicit risk assessment tools ...
UKCEH and CEH Sections/Science Areas: Billett (to November 2013)
Additional Information. Not used in RCUK Gateway to Research.: To access full text, please click on the Official URL link
Additional Keywords: integrated framework, environment, ecosystem services valuation
NORA Subject Terms: Ecology and Environment
General > Science Policy
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Date made live: 24 Apr 2013 14:14 +0 (UTC)

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