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dc.contributor.authorEide, Arne
dc.date.accessioned2011-12-02T13:41:42Z
dc.date.available2011-12-02T13:41:42Z
dc.date.issued2011
dc.description.abstractThis paper investigates possible biological and economic effects of using marine sanctuaries as a management tool, employing cellular automata techniques to model biological growth and area distribution, assuming open access to the fish stock resources outside the protected area. The cellular automata model incorporates a fish harvest model based on standard assumptions. In agreement with previous studies this study confirms that large protected areas are necessary for significant impact on stock conservation, given standard assumptions. The conclusion may however not be equally unambiguous when employing more realistic scenarios, assuming non-uniform distribution of biomass and fishing effort. This study shows that significant stock conserving effects could be obtained even when less that 10% of the total distribution area of the stock is protected from fishing activities.en
dc.descriptionThis article is a part of Arne Eides doctoral thesis. Available in Munin at <a href=http://hdl.handle.net/10037/2399>http://hdl.handle.net/10037/2399</a>en
dc.identifier.citationFisheries Research (2011), vol 13 no 1 pp 118-132en
dc.identifier.doidoi: 10.1016/j.fishres.2011.10.004
dc.identifier.urihttps://hdl.handle.net/10037/3703
dc.identifier.urnURN:NBN:no-uit_munin_3417
dc.language.isoengen
dc.rights.accessRightsopenAccess
dc.subjectVDP::Social science: 200::Economics: 210::Economics: 212en
dc.subjectVDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212en
dc.subjectVDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Other fisheries disciplines: 929en
dc.subjectVDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920::Andre fiskerifag: 929en
dc.subjectmarine protected areaen
dc.subjectcellular automata modellingen
dc.subjectFisheries managementen
dc.subjectbioeconomicsen
dc.titleA bioeconomic MPA study based on cellular automata population growth and distributionen
dc.typeJournal articleen
dc.typeTidsskriftartikkelen
dc.typePeer revieweden


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