Operationalising ecosystem service assessment in Bayesian Belief Netwoks: Experiences within the OpenNESS project

Autores
Smith, Ron I.; Barton, David N.; Dick, Jan; Haines-Young, Roy; Madsen, Anders L.; Rusch, Graciela M.; Termansen, Mette; Woods, Helen; Carvalho, Lawrence; Giuca, Relu Constantin; Luque, Sandra; Odee, David; Rusch, Veronica Elena; Saarikoski, Heli; Adamescu, Cristian; Dunford, Rob; Ochieng, John; Gonzalez-Redin, Julen; Stange, Erik; Vadineanu, Angheluta; Verweij, Peter; Vikström, Suvi
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
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.
EEA Bariloche
Fil: Smith, Ron I. Center for Ecology and Hydrology; Gran Bretaña
Fil: Barton, David N. Norwegian Institute for Nature Research NINA; Noruega
Fil: Dick, Jan. Center for Ecology and Hydrology; Gran Bretaña
Fil: Haines-Young, Roy. Fabis Consulting Ltd,; Gran Bretaña
Fil: Madsen, Anders L. Hugin Expert A/S; Dinamarca. Aalborg University. Department of Computer Science; Dinamarca
Fil: Rusch, Graciela M. Norwegian Institute for Nature Research NINA; Noruega
Fil: Termansen, Mette. Aarhus University. Department Environmental Science; Dinamarca
Fil: Woods, Helen. Center for Ecology and Hydrology; Gran Bretaña
Fil: Carvalho, Lawrence. Center for Ecology and Hydrology; Gran Bretaña
Fil: Giuca, Relu Constantin. University of Bucharest. Research Center in Systems Ecology and Sustainability; Rumania
Fil: Luque, Sandra. National Research Institute of Science and Technology for Environment and Agriculture; Francia
Fil: Odee, David. Kenya Forestry Research Institute; Kenia
Fil: Rusch, Veronica Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Saarikoski, Heli. Finnish Environment Institute; Finlandia
Fil: Adamescu, Cristian. University of Bucharest. Research Center in Systems Ecology and Sustainability; Rumania
Fil: Dunford, Rob. Environmental Change Institute. Gran Bretaña. Centre for Ecology & Hydrology Maclean Building; Gran Bretaña
Fil: Ochieng, John. Kenya Forestry Research Institute; Kenia
Fil: Gonzalez-Redin, Julen. James Hutton Institute; Gran Bretaña
Fil: Stange, Erik. Norwegian Institute for Nature Research NINA; Noruega
Fil: Vadineanu, Angheluta. University of Bucharest. Research Center in Systems Ecology and Sustainability; Rumania
Fil: Verweij, Peter. Wageningen University & Research – Environmental Research; Holanda
Fil: Vikström, Suvi. Finnish Environment Institute; Finlandia
Fuente
Ecosystem services 29, Part C, : 452-464. (February 2018)
Materia
Agroecosistemas
Agentes Interesados
Agroecosystems
Stakeholders
Servicios Ecosistémicos
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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oai_identifier_str oai:localhost:20.500.12123/1924
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network_name_str INTA Digital (INTA)
spelling Operationalising ecosystem service assessment in Bayesian Belief Netwoks: Experiences within the OpenNESS projectSmith, Ron I.Barton, David N.Dick, JanHaines-Young, RoyMadsen, Anders L.Rusch, Graciela M.Termansen, MetteWoods, HelenCarvalho, LawrenceGiuca, Relu ConstantinLuque, SandraOdee, DavidRusch, Veronica ElenaSaarikoski, HeliAdamescu, CristianDunford, RobOchieng, JohnGonzalez-Redin, JulenStange, ErikVadineanu, AnghelutaVerweij, PeterVikström, SuviAgroecosistemasAgentes InteresadosAgroecosystemsStakeholdersServicios EcosistémicosNine 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.EEA BarilocheFil: Smith, Ron I. Center for Ecology and Hydrology; Gran BretañaFil: Barton, David N. Norwegian Institute for Nature Research NINA; NoruegaFil: Dick, Jan. Center for Ecology and Hydrology; Gran BretañaFil: Haines-Young, Roy. Fabis Consulting Ltd,; Gran BretañaFil: Madsen, Anders L. Hugin Expert A/S; Dinamarca. Aalborg University. Department of Computer Science; DinamarcaFil: Rusch, Graciela M. Norwegian Institute for Nature Research NINA; NoruegaFil: Termansen, Mette. Aarhus University. Department Environmental Science; DinamarcaFil: Woods, Helen. Center for Ecology and Hydrology; Gran BretañaFil: Carvalho, Lawrence. Center for Ecology and Hydrology; Gran BretañaFil: Giuca, Relu Constantin. University of Bucharest. Research Center in Systems Ecology and Sustainability; RumaniaFil: Luque, Sandra. National Research Institute of Science and Technology for Environment and Agriculture; FranciaFil: Odee, David. Kenya Forestry Research Institute; KeniaFil: Rusch, Veronica Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; ArgentinaFil: Saarikoski, Heli. Finnish Environment Institute; FinlandiaFil: Adamescu, Cristian. University of Bucharest. Research Center in Systems Ecology and Sustainability; RumaniaFil: Dunford, Rob. Environmental Change Institute. Gran Bretaña. Centre for Ecology & Hydrology Maclean Building; Gran BretañaFil: Ochieng, John. Kenya Forestry Research Institute; KeniaFil: Gonzalez-Redin, Julen. James Hutton Institute; Gran BretañaFil: Stange, Erik. Norwegian Institute for Nature Research NINA; NoruegaFil: Vadineanu, Angheluta. University of Bucharest. Research Center in Systems Ecology and Sustainability; RumaniaFil: Verweij, Peter. Wageningen University & Research – Environmental Research; HolandaFil: Vikström, Suvi. Finnish Environment Institute; Finlandia2018-03-01T14:17:26Z2018-03-01T14:17:26Z2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/1924https://www.sciencedirect.com/science/article/pii/S2212041617306587#!https://doi.org/10.1016/j.ecoser.2017.11.004Ecosystem services 29, Part C, : 452-464. (February 2018)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-04T09:47:09Zoai:localhost:20.500.12123/1924instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:47:09.926INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Operationalising ecosystem service assessment in Bayesian Belief Netwoks: Experiences within the OpenNESS project
title Operationalising ecosystem service assessment in Bayesian Belief Netwoks: Experiences within the OpenNESS project
spellingShingle Operationalising ecosystem service assessment in Bayesian Belief Netwoks: Experiences within the OpenNESS project
Smith, Ron I.
Agroecosistemas
Agentes Interesados
Agroecosystems
Stakeholders
Servicios Ecosistémicos
title_short Operationalising ecosystem service assessment in Bayesian Belief Netwoks: Experiences within the OpenNESS project
title_full Operationalising ecosystem service assessment in Bayesian Belief Netwoks: Experiences within the OpenNESS project
title_fullStr Operationalising ecosystem service assessment in Bayesian Belief Netwoks: Experiences within the OpenNESS project
title_full_unstemmed Operationalising ecosystem service assessment in Bayesian Belief Netwoks: Experiences within the OpenNESS project
title_sort Operationalising ecosystem service assessment in Bayesian Belief Netwoks: Experiences within the OpenNESS project
dc.creator.none.fl_str_mv Smith, Ron I.
Barton, David N.
Dick, Jan
Haines-Young, Roy
Madsen, Anders L.
Rusch, Graciela M.
Termansen, Mette
Woods, Helen
Carvalho, Lawrence
Giuca, Relu Constantin
Luque, Sandra
Odee, David
Rusch, Veronica Elena
Saarikoski, Heli
Adamescu, Cristian
Dunford, Rob
Ochieng, John
Gonzalez-Redin, Julen
Stange, Erik
Vadineanu, Angheluta
Verweij, Peter
Vikström, Suvi
author Smith, Ron I.
author_facet Smith, Ron I.
Barton, David N.
Dick, Jan
Haines-Young, Roy
Madsen, Anders L.
Rusch, Graciela M.
Termansen, Mette
Woods, Helen
Carvalho, Lawrence
Giuca, Relu Constantin
Luque, Sandra
Odee, David
Rusch, Veronica Elena
Saarikoski, Heli
Adamescu, Cristian
Dunford, Rob
Ochieng, John
Gonzalez-Redin, Julen
Stange, Erik
Vadineanu, Angheluta
Verweij, Peter
Vikström, Suvi
author_role author
author2 Barton, David N.
Dick, Jan
Haines-Young, Roy
Madsen, Anders L.
Rusch, Graciela M.
Termansen, Mette
Woods, Helen
Carvalho, Lawrence
Giuca, Relu Constantin
Luque, Sandra
Odee, David
Rusch, Veronica Elena
Saarikoski, Heli
Adamescu, Cristian
Dunford, Rob
Ochieng, John
Gonzalez-Redin, Julen
Stange, Erik
Vadineanu, Angheluta
Verweij, Peter
Vikström, Suvi
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Agroecosistemas
Agentes Interesados
Agroecosystems
Stakeholders
Servicios Ecosistémicos
topic Agroecosistemas
Agentes Interesados
Agroecosystems
Stakeholders
Servicios Ecosistémicos
dc.description.none.fl_txt_mv 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.
EEA Bariloche
Fil: Smith, Ron I. Center for Ecology and Hydrology; Gran Bretaña
Fil: Barton, David N. Norwegian Institute for Nature Research NINA; Noruega
Fil: Dick, Jan. Center for Ecology and Hydrology; Gran Bretaña
Fil: Haines-Young, Roy. Fabis Consulting Ltd,; Gran Bretaña
Fil: Madsen, Anders L. Hugin Expert A/S; Dinamarca. Aalborg University. Department of Computer Science; Dinamarca
Fil: Rusch, Graciela M. Norwegian Institute for Nature Research NINA; Noruega
Fil: Termansen, Mette. Aarhus University. Department Environmental Science; Dinamarca
Fil: Woods, Helen. Center for Ecology and Hydrology; Gran Bretaña
Fil: Carvalho, Lawrence. Center for Ecology and Hydrology; Gran Bretaña
Fil: Giuca, Relu Constantin. University of Bucharest. Research Center in Systems Ecology and Sustainability; Rumania
Fil: Luque, Sandra. National Research Institute of Science and Technology for Environment and Agriculture; Francia
Fil: Odee, David. Kenya Forestry Research Institute; Kenia
Fil: Rusch, Veronica Elena. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Saarikoski, Heli. Finnish Environment Institute; Finlandia
Fil: Adamescu, Cristian. University of Bucharest. Research Center in Systems Ecology and Sustainability; Rumania
Fil: Dunford, Rob. Environmental Change Institute. Gran Bretaña. Centre for Ecology & Hydrology Maclean Building; Gran Bretaña
Fil: Ochieng, John. Kenya Forestry Research Institute; Kenia
Fil: Gonzalez-Redin, Julen. James Hutton Institute; Gran Bretaña
Fil: Stange, Erik. Norwegian Institute for Nature Research NINA; Noruega
Fil: Vadineanu, Angheluta. University of Bucharest. Research Center in Systems Ecology and Sustainability; Rumania
Fil: Verweij, Peter. Wageningen University & Research – Environmental Research; Holanda
Fil: Vikström, Suvi. Finnish Environment Institute; Finlandia
description 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-03-01T14:17:26Z
2018-03-01T14:17:26Z
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/1924
https://www.sciencedirect.com/science/article/pii/S2212041617306587#!
https://doi.org/10.1016/j.ecoser.2017.11.004
url http://hdl.handle.net/20.500.12123/1924
https://www.sciencedirect.com/science/article/pii/S2212041617306587#!
https://doi.org/10.1016/j.ecoser.2017.11.004
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Ecosystem services 29, Part C, : 452-464. (February 2018)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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