The value of using Bayesian Networks in Environmental Decision Support Systems to support natural resource management

dc.contributor.authorMerritt, Wendy
dc.contributor.authorTicehurst, Jenifer
dc.contributor.authorPollino, Carmel
dc.contributor.authorFu, Baihua
dc.coverage.spatialOttowa Canada
dc.date.accessioned2015-12-10T22:58:38Z
dc.date.createdJuly 5-8 2010
dc.date.issued2010
dc.date.updated2016-02-24T10:52:01Z
dc.description.abstractEnvironmental Decision Support Systems (EDSS) are one of a suite of tools that natural resource management (NRM) practitioners may use to support the development of, or help report on the success, of NRM programs. This paper outlines two DSS that are being developed for state government or NRM agencies in Australia to assist them to develop, implement and manage programs aimed at improving resource condition. IBIS is an EDSS that models ecological outcomes of environmental flows. VegBN models the effectiveness of NRM interventions on native vegetation quality on private land in northern Victoria. The underlying model base of each EDSS is comprised of Bayesian Network (BN) models linked with other BN or component models. Bayesian networks have proved to be a flexible and highly valuable approach to modelling such highly complex and uncertain environmental systems. They are an approach that can add rigour and transparency to decision-making processes and have in Australia gained considerable interest from researchers as well as government and other organisations involved in the management of natural resources.
dc.identifier.isbn9788890357411
dc.identifier.urihttp://hdl.handle.net/1885/60948
dc.publisherInternational Environmental Modelling and Software Society
dc.relation.ispartofseriesInternational Congress on Environmental Modelling and Software (iEMSs 2010)
dc.sourceProceedings of International Congress on Environmental Modelling and Software (iEMSs 2010)
dc.subjectKeywords: Australia; Component model; Decision making process; Environmental decision support systems; Environmental flow; Environmental systems; Model base; Model development; Natural resource management; Private land; Resource conditions; State governments; Artif Bayesian Networks; Environmental Decision Support Systems; Model development
dc.titleThe value of using Bayesian Networks in Environmental Decision Support Systems to support natural resource management
dc.typeConference paper
local.bibliographicCitation.lastpage2088
local.bibliographicCitation.startpage2080
local.contributor.affiliationMerritt, Wendy, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationTicehurst, Jenifer Lyn, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationPollino, Carmel, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationFu, Baihua, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidMerritt, Wendy, u9816719
local.contributor.authoruidTicehurst, Jenifer Lyn, u4004279
local.contributor.authoruidPollino, Carmel, u4363040
local.contributor.authoruidFu, Baihua, u3960453
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor050209 - Natural Resource Management
local.identifier.absfor080605 - Decision Support and Group Support Systems
local.identifier.absseo960604 - Environmental Management Systems
local.identifier.ariespublicationu4279067xPUB575
local.identifier.scopusID2-s2.0-84858691595
local.type.statusPublished Version

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