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dc.creatorBaran, E.
dc.creatorJantunen T.
dc.date.accessioned2018-11-27T10:45:42Z
dc.date.available2018-11-27T10:45:42Z
dc.date.issued2005
dc.identifier632.pdf
dc.identifier.citationp. 2312-2318. In: Zerger, A. and Argent, R.M. (eds) MODSIM 2005 international congress on modelling and simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005
dc.identifier.urihttps://hdl.handle.net/20.500.12348/1939
dc.description.abstractProbabilistic Bayesian networks have been used as decision making tools mainly in medicine and economics, but recently they have also been utilized in natural resource management. In this study a Bayesian model is built as a decisionmaking tool for fisheries management in the Tonle Sap Lake in Cambodia.
dc.formatapplication/pdf
dc.languageEn
dc.publisherWorldFish
dc.titleBayFish - Tonle Sap: a Bayesian model of the fish production in the Tonle Sap Great Lake, Cambodia.
dc.typeConference Paper
dcterms.bibliographicCitationBaran, E.; Jantunen T. (2005). BayFish - Tonle Sap: a Bayesian model of the fish production in the Tonle Sap Great Lake, Cambodia.. p. 2312-2318. In: Zerger, A. and Argent, R.M. (eds) MODSIM 2005 international congress on modelling and simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005
cg.coverage.countryCambodia
cg.coverage.regionSouth East Asia
cg.identifier.worldfish632
cg.subject.agrovocfish
cg.subject.agrovocfisheries
cg.subject.agrovocfreshwater
cg.subject.worldfishfresh water
cg.identifier.statusOpen access
cg.contribution.worldfishauthorBaran, E.
cg.description.themeResilient small-scale fisheries


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