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dc.contributor.authorBreivik, Olav Nikolai Risdal
dc.contributor.authorZimmermann, Fabian
dc.contributor.authorJohannesen, Edda
dc.contributor.authorOno, Kotaro
dc.contributor.authorFall, Johanna Jennifer Elisabeth
dc.contributor.authorHowell, Daniel
dc.contributor.authorNielsen, Anders
dc.date.accessioned2025-01-06T09:18:24Z
dc.date.available2025-01-06T09:18:24Z
dc.date.created2024-06-26T16:34:45Z
dc.date.issued2024
dc.identifier.citationICES Journal of Marine Science. 2024, 81 (7), 1195-1208.
dc.identifier.issn1054-3139
dc.identifier.urihttps://hdl.handle.net/11250/3171055
dc.description.abstractSpatio-temporal models are essential tools for estimating abundance indices and quantifying the associated uncertainty. Time series of index uncertainties can be used to objectively determine the influence each index has on the assessment. This can involve reducing the influence of indices in years with limited data. However, incorporating uncertainty in age-length conversion into assessment models has remained a challenge. In this research, we propose an index estimation approach that combines an abundance-at-length model with a model for age-at-length to generate age-specific abundance indices. By jointly modeling abundance-at-length and age-at-length, we address uncertainties in both components of the index-at-age. Using North East Arctic haddock (Melanogrammus aeglefinus) as a case study, we validate the uncertainty of the indices by integrating them into the state space assessment model SAM. The results indicate that the uncertainty estimates are realistic, and we further demonstrate that incorporating uncertainty in age conversion has effects on the assessment results. Our case study demonstrates that incorporating the uncertainty in age-at-length data improves the characterization of uncertainty in stock assessment, and hence better accounts for risk in precautionary management.
dc.description.abstractIncorporation of observation uncertainty in stock assessment using spatio-temporal modeling of catch-at-length and age-at-length survey data
dc.language.isoeng
dc.titleIncorporation of observation uncertainty in stock assessment using spatio-temporal modeling of catch-at-length and age-at-length survey data
dc.title.alternativeIncorporation of observation uncertainty in stock assessment using spatio-temporal modeling of catch-at-length and age-at-length survey data
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber1195-1208
dc.source.volume81
dc.source.journalICES Journal of Marine Science
dc.source.issue7
dc.identifier.doi10.1093/icesjms/fsae079
dc.identifier.cristin2279194
dc.relation.projectNorges forskningsråd: 324159
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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