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dc.contributor.authorMoe, S. Jannicke
dc.contributor.authorNater, Chloé Rebecca
dc.contributor.authorRustadbakken, Atle
dc.contributor.authorVøllestad, Leif Asbjørn
dc.contributor.authorLund, Espen
dc.contributor.authorQvenild, Tore
dc.contributor.authorHegge, Ola
dc.contributor.authorAass, Per
dc.date.accessioned2020-11-25T12:28:53Z
dc.date.available2020-11-25T12:28:53Z
dc.date.created2020-11-17T11:33:08Z
dc.date.issued2020
dc.identifier.citationBiodiversity Data Journal. 2020, 8, e52157.en_US
dc.identifier.issn1314-2836
dc.identifier.urihttps://hdl.handle.net/11250/2689565
dc.description.abstractLong-term data from marked animals provide a wealth of opportunities for studies with high relevance to both basic ecological understanding and successful management in a changing world. The key strength of such data is that they allow us to quantify individual variation in vital rates (e.g. survival, growth, reproduction) and then link it mechanistically to dynamics at the population level. However, maintaining the collection of individual-based data over long time periods comes with large logistic efforts and costs and studies spanning over decades are therefore rare. This is the case particularly for migratory aquatic species, many of which are in decline despite their high ecological, cultural and economical value.en_US
dc.language.isoengen_US
dc.publisherPensoften_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleLong-term mark-recapture and growth data for large-sized migratory brown trout (Salmo trutta) from Lake Mjøsa, Norwayen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© Moe S et al.en_US
dc.source.pagenumber24en_US
dc.source.volume8en_US
dc.source.journalBiodiversity Data Journalen_US
dc.identifier.doi10.3897/BDJ.8.e52157
dc.identifier.cristin1848700
dc.source.articlenumbere52157en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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