Exploring ecosystem service issues across diverse knowledge domains using Bayesian Belief Networks

The analysis of the relationships between people and nature is complex, because it involves bringing together insights from a range of disciplines, and, when stakeholders are involved, the perspectives and values of different interest groups. Although it has been suggested that analytical-deliberate...

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Bibliographic Details
Published in:Progress in physical geography Vol. 35; no. 5; pp. 681 - 699
Main Author: Haines-Young, Roy
Format: Journal Article
Language:English
Published: London, England SAGE Publications 01.10.2011
Sage Publications Ltd
Subjects:
Attitudes
Bayesian analysis
Case studies
Decision makers
Ecosystem services
Ecosystems
Geographic information systems
Human-environment relationship
Interest groups
Mapping
Social values
Stakeholders
multicriteria methods
mapping ecosystem services
analytical deliberative techniques
Bayesian Belief Networks
scenarios
non-monetary valuation
BBN
ISSN:0309-1333, 1477-0296
Online Access:Get full text
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Summary:The analysis of the relationships between people and nature is complex, because it involves bringing together insights from a range of disciplines, and, when stakeholders are involved, the perspectives and values of different interest groups. Although it has been suggested that analytical-deliberate approaches may be useful in dealing with some of this complexity, the development of methods is still at an early stage. This is particularly so in relation to debates around the concept of ecosystem services where biophysical, social and economic insights need to be integrated in ways that can be accessed by decision-makers. The paper draws on case studies to examine the use of Bayesian Belief Networks (BBNs) as a means of implementing analytical-deliberative approaches in relation to mapping ecosystem services and modelling scenario outcomes. It also explores their use as a tool for representing individual and group values. It is argued that when linked with GIS techniques BBNs allow mapping and modelling approaches rapidly to be developed and tested in an efficient and transparent way, and that they are a valuable scenario-building tool. The case-study materials also show that BBNs can support multicriteria forms of deliberative analysis that can be used to capture stakeholder opinions so that different perspectives can be compared and shared social values identified.
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ISSN:0309-1333
1477-0296
DOI:10.1177/0309133311422977