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Operationalising ecosystem service assessment in Bayesian Belief Networks : Experiences within the OpenNESS project
- Source :
- Ecosystem Services 29 (2018) pt. C, Ecosystem Services, Smith, R, Barton, D N, Dick, J, Haines-Young, R, Madsen, A L, Rusch, G M, Termansen, M, Woods, H, Carvalho, L, Giuca, R C, Luque, S, Odee, D, Rusch, V, Saarikoski, H, Adamescu, C M, Dunford, R, Ochieng, J, Gonzalez-Redin, J, Stange, E, Vadineanu, A, Verweij, P & Vikstrom, S 2018, ' Operationalising ecosystem service assessment in Bayesian Belief Networks : Experiences within the OpenNESS project ', Ecosystem Services, vol. 29, no. Part C, pp. 452-464 . https://doi.org/10.1016/j.ecoser.2017.11.004, Ecosystem Services, Elsevier, 2018, 29 (part C), pp.452-464. ⟨10.1016/j.ecoser.2017.11.004⟩, Ecosystem Services, 29(pt. C), 452-464
- Publication Year :
- 2018
-
Abstract
- International audience; Nine Bayesian Belief Networks (BBNs) were developed within the OpenNESS project specifically for modelling ecosystem services for case study applications. The novelty of the method, its ability to explore problems, to address uncertainty, and to facilitate stakeholder interaction in the process were all reasons for choosing BBNs. Most case studies had some local expertise on BBNs to assist them, and all used expert opinion as well as data to help develop the dependences in the BBNs. In terms of the decision scope of the work, all case studies were moving from explorative and informative uses towards decisive, but none were yet being used for decision-making. Three applications incorporated BBNs with GIS where the spatial component of the management was critical, but several concerns about estimating uncertainty with spatial modelling approaches are discussed. The tool proved to be very flexible and, particularly with its web interface, was an asset when working with stakeholders to facilitate exploration of outcomes, knowledge elicitation and social learning. BBNs were rated as very useful and widely applicable by the case studies that used them, but further improvements in software and more training were also deemed necessary.
- Subjects :
- Earth Observation and Environmental Informatics
Knowledge management
010504 meteorology & atmospheric sciences
Computer science
Process (engineering)
Geography, Planning and Development
ta1172
010501 environmental sciences
Management, Monitoring, Policy and Law
Asset (computer security)
01 natural sciences
Ecosystem services
Decision scope
Stakeholder participation
Aardobservatie en omgevingsinformatica
0105 earth and related environmental sciences
Nature and Landscape Conservation
Global and Planetary Change
Ecology
Scope (project management)
business.industry
Spatial modelling
Environmental resource management
Stakeholder
Uncertainty
Bayesian network
Social learning
Agricultural and Biological Sciences (miscellaneous)
Web interface
[SDE]Environmental Sciences
User interface
business
Samfunnsvitenskap: 200::Økonomi: 210 [VDP]
Subjects
Details
- Language :
- English
- ISSN :
- 22120416
- Database :
- OpenAIRE
- Journal :
- Ecosystem Services 29 (2018) pt. C, Ecosystem Services, Smith, R, Barton, D N, Dick, J, Haines-Young, R, Madsen, A L, Rusch, G M, Termansen, M, Woods, H, Carvalho, L, Giuca, R C, Luque, S, Odee, D, Rusch, V, Saarikoski, H, Adamescu, C M, Dunford, R, Ochieng, J, Gonzalez-Redin, J, Stange, E, Vadineanu, A, Verweij, P & Vikstrom, S 2018, ' Operationalising ecosystem service assessment in Bayesian Belief Networks : Experiences within the OpenNESS project ', Ecosystem Services, vol. 29, no. Part C, pp. 452-464 . https://doi.org/10.1016/j.ecoser.2017.11.004, Ecosystem Services, Elsevier, 2018, 29 (part C), pp.452-464. ⟨10.1016/j.ecoser.2017.11.004⟩, Ecosystem Services, 29(pt. C), 452-464
- Accession number :
- edsair.doi.dedup.....7b0a827bdc1cc9271286be19778e6444