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dc.contributor.authorNarum, Benjamin S.
dc.contributor.authorBerentsen, Geir D.
dc.date.accessioned2024-05-27T12:59:07Z
dc.date.available2024-05-27T12:59:07Z
dc.date.issued2024-05-27
dc.identifier.issn2387-3000
dc.identifier.urihttps://hdl.handle.net/11250/3131582
dc.description.abstractThe need for joint forecasting of parasitic lice and associated preventative treatments stems from large monetary losses associated with such treatments, and the distribution of potential future treatments can be used in operational planning to hedge their associated risk. We present a spatio-temporal forecasting model that accounts for the joint dynamics between lice and treatments where spatial interaction between sites is derived from hydrodynamic transportation patterns. The model-derived forecasting distributions exhibit large heterogeneity between sites at significant levels of exposure which suggests the forecasting model can provide great value in assisting operational risk management.en_US
dc.language.isoengen_US
dc.publisherFORen_US
dc.relation.ispartofseriesDiscussion paper;7/24
dc.subjectLong-term forecastingen_US
dc.subjectGARMA modelsen_US
dc.subjectdensity forecastsen_US
dc.subjectaquacultureen_US
dc.subjectsalmon liceen_US
dc.titleJoint Forecasting of Salmon Lice and Treatment Interventions in Aquaculture Operationsen_US
dc.typeWorking paperen_US
dc.source.pagenumber31en_US


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