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BayFish - Tonle Sap: a Bayesian model of the fish production in the Tonle Sap Great Lake, Cambodia.

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-Eastern 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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