A framework for modeling payments for ecosystem services with agent-based models, Bayesian belief networks and opinion dynamics models

2013 ◽  
Vol 45 ◽  
pp. 15-28 ◽  
Author(s):  
Zhanli Sun ◽  
Daniel Müller
Keyword(s):  
Ecosystem Services ◽  
Opinion Dynamics ◽  
Bayesian Belief Networks ◽  
Payments For Ecosystem Services ◽  
Belief Networks ◽  
Agent Based Models ◽  
Agent Based ◽  
Dynamics Models

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

2011 ◽  
Vol 35 (5) ◽  
pp. 681-699 ◽  
Author(s):  
Roy Haines-Young
Keyword(s):  
Ecosystem Services ◽  
Social Values ◽  
Early Stage ◽  
Bayesian Belief Networks ◽  
Decision Makers ◽  
Belief Networks ◽  
Knowledge Domains ◽  
Study Materials ◽  
Shared Social Values

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.

Agent-Based Parsimonious Decision Support Paradigm Employing Bayesian Belief Networks

2006 ◽  
pp. 24-36
Author(s):  
Panos Louvieris ◽  
Andreas Gregoriades ◽  
Natasha Mashanovich ◽  
Gareth White ◽  
Robert O’Keefe ◽  
...  
Keyword(s):  
Decision Support ◽  
Bayesian Belief Networks ◽  
Belief Networks ◽  
Agent Based

scholarly journals Operationalizing an ecosystem services-based approach using Bayesian Belief Networks: An application to riparian buffer strips

2015 ◽  
Vol 110 ◽  
pp. 15-27 ◽  
Author(s):  
Alistair McVittie ◽  
Lisa Norton ◽  
Julia Martin-Ortega ◽  
Ioanna Siameti ◽  
Klaus Glenk ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Bayesian Belief Networks ◽  
Riparian Buffer ◽  
Belief Networks ◽  
Buffer Strips ◽  
Riparian Buffer Strips

scholarly journals Assessing the Effectiveness of Payments for Ecosystem Services: an Agent-Based Modeling Approach

2014 ◽  
Vol 19 (1) ◽  
Author(s):  
Xiaodong Chen ◽  
Andrés Viña ◽  
Ashton Shortridge ◽  
Li An ◽  
Jianguo Liu
Keyword(s):  
Ecosystem Services ◽  
Agent Based Modeling ◽  
Payments For Ecosystem Services ◽  
Agent Based ◽  
Modeling Approach

scholarly journals Integrating mixed-cell CA model and Bayesian belief networks to optimize ecosystem services for ecological restoration and conservation

2021 ◽  
Author(s):  
Shuang Zhou ◽  
Li Peng
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Ecological Restoration ◽  
Land Development ◽  
Bayesian Belief Networks ◽  
The State ◽  
Belief Networks ◽  
Mixed Cell ◽  
Development Scenarios ◽  
Ca Model

The complexity and uncertainty of land use and environmental factors pose challenges to the management decisions of ecological restoration and conservation.We integrated the mixed-cell CA model and Bayesian belief networks to develop an innovative method for optimizing ecosystem services under different land development scenarios, including consideration of the uncertainty and variability of factors.The southern region of Sichuan Province, China, was selected as an example.We first established three development scenarios between 2015 and 2035, namely, natural development scenario (NDS), ecological protection scenario (EPS), and cultivated land protection scenario (CLPS).The MCCA model was utilized to simulate the land use pattern in 2035 under different scenarios.We then construced a BBN-based model to investigate the carbon sequestration, grain supply, soil conservation, habitat quality, and water yield in 2035 under uncertain scenarios.After the sensitivity analysis and evaluation of the model, we determined the state combination of influential factors at various ecosystem service levels and the ecological restoration and conservation key areas.The obtained result showed that the key influencing factors impacting the ecosystem services level included NPP, Slope, forestland and ET, and the state combination corresponding to the highest level of ecosystem services was predominantly distributed in regions with the highest NPP, the highest Slope, the highest forestland area and low ET.Based on this finding, we proposed some suggestions for ecological restoration and conservation of key areas.This model considers uncertainties and is capable of providing scientific recommendations on restoration and conservation; therefore, it can serve as an effective tool to assist stakeholders in making decisions.

scholarly journals Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks

2016 ◽  
Vol 18 ◽  
pp. 165-174 ◽  
Author(s):  
David N. Barton ◽  
Tamara Benjamin ◽  
Carlos R. Cerdán ◽  
Fabrice DeClerck ◽  
Anders L. Madsen ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Bayesian Belief Networks ◽  
Belief Networks
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