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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 [ver mas...]
dc.contributor.authorSmith, Ron I.
dc.contributor.authorBarton, David N.
dc.contributor.authorDick, Jan
dc.contributor.authorHaines-Young, Roy
dc.contributor.authorMadsen, Anders L.
dc.contributor.authorRusch, Graciela M.
dc.contributor.authorTermansen, Mette
dc.contributor.authorWoods, Helen
dc.contributor.authorCarvalho, Lawrence
dc.contributor.authorGiuca, Relu Constantin
dc.contributor.authorLuque, Sandra
dc.contributor.authorOdee, David
dc.contributor.authorRusch, Veronica Elena
dc.contributor.authorSaarikoski, Heli
dc.contributor.authorAdamescu, Cristian
dc.contributor.authorDunford, Rob
dc.contributor.authorOchieng, John
dc.contributor.authorGonzalez-Redin, Julen
dc.contributor.authorStange, Erik
dc.contributor.authorVadineanu, Angheluta
dc.contributor.authorVerweij, Peter
dc.contributor.authorVikström, Suvi
dc.date.accessioned2018-03-01T14:17:26Z
dc.date.available2018-03-01T14:17:26Z
dc.date.issued2018
dc.identifier.otherhttps://doi.org/10.1016/j.ecoser.2017.11.004
dc.identifier.urihttp://hdl.handle.net/20.500.12123/1924
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S2212041617306587#!
dc.description.abstractNine 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.eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceEcosystem services 29, Part C, : 452-464. (February 2018)eng
dc.subjectAgroecosistemas
dc.subjectAgroecosystemseng
dc.subjectStakeholderseng
dc.subjectAgentes Interesados
dc.subject.otherServicios Ecosistémicos
dc.titleOperationalising ecosystem service assessment in Bayesian Belief Netwoks: Experiences within the OpenNESS projecteng
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/acceptedVersioneng
dc.description.origenEEA Bariloche
dc.gic155863
dc.description.filFil: Smith, Ron I. Center for Ecology and Hydrology; Gran Bretaña
dc.description.filFil: Barton, David N. Norwegian Institute for Nature Research NINA; Noruega
dc.description.filFil: Dick, Jan. Center for Ecology and Hydrology; Gran Bretaña
dc.description.filFil: Haines-Young, Roy. Fabis Consulting Ltd,; Gran Bretaña
dc.description.filFil: Madsen, Anders L. Hugin Expert A/S; Dinamarca. Aalborg University. Department of Computer Science; Dinamarca
dc.description.filFil: Rusch, Graciela M. Norwegian Institute for Nature Research NINA; Noruega
dc.description.filFil: Termansen, Mette. Aarhus University. Department Environmental Science; Dinamarca
dc.description.filFil: Woods, Helen. Center for Ecology and Hydrology; Gran Bretaña
dc.description.filFil: Carvalho, Lawrence. Center for Ecology and Hydrology; Gran Bretaña
dc.description.filFil: Giuca, Relu Constantin. University of Bucharest. Research Center in Systems Ecology and Sustainability; Rumania
dc.description.filFil: Luque, Sandra. National Research Institute of Science and Technology for Environment and Agriculture; Francia
dc.description.filFil: Odee, David. Kenya Forestry Research Institute; Kenia
dc.description.filFil: Rusch, Veronica Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
dc.description.filFil: Saarikoski, Heli. Finnish Environment Institute; Finlandia
dc.description.filFil: Adamescu, Cristian. University of Bucharest. Research Center in Systems Ecology and Sustainability; Rumania
dc.description.filFil: Dunford, Rob. Environmental Change Institute. Gran Bretaña. Centre for Ecology & Hydrology Maclean Building; Gran Bretaña
dc.description.filFil: Ochieng, John. Kenya Forestry Research Institute; Kenia
dc.description.filFil: Gonzalez-Redin, Julen. James Hutton Institute; Gran Bretaña
dc.description.filFil: Stange, Erik. Norwegian Institute for Nature Research NINA; Noruega
dc.description.filFil: Vadineanu, Angheluta. University of Bucharest. Research Center in Systems Ecology and Sustainability; Rumania
dc.description.filFil: Verweij, Peter. Wageningen University & Research – Environmental Research; Holanda
dc.description.filFil: Vikström, Suvi. Finnish Environment Institute; Finlandia
dc.subtypecientifico


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