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dc.contributor.authorAdeva Bustos, Ana
dc.contributor.authorHedger, Richard David
dc.contributor.authorFjeldstad, Hans-Petter
dc.contributor.authorStickler, Morten
dc.contributor.authorAlfredsen, Knut
dc.date.accessioned2019-08-12T09:27:39Z
dc.date.available2019-08-12T09:27:39Z
dc.date.created2019-08-04T09:30:15Z
dc.date.issued2019
dc.identifier.citationEnvironmental Modelling & Software. 2019, 120 .nb_NO
dc.identifier.issn1364-8152
dc.identifier.urihttp://hdl.handle.net/11250/2607869
dc.description.abstractFlow regime alterations from hydropower regulation may impact fish populations. Impacts can be characterized using methods for mapping bottlenecks for different species life stages. Improving the understanding of such bottlenecks could provide a basis for mitigation measures. An integrated modelling approach coupling a salmon population model (IB-salmon), a hydraulic 1D model (HEC-RAS) and a temperature model (Air2Stream) was used to identify the bottlenecks constraining the salmon population in a hydro-regulated river (Ljungan River, Sweden). This integrated approach evaluated changes in the salmon population under different low flow scenarios, involving potential dewatering of spawning sites, and the effect of restored spawning sites. Model results demonstrated that low discharges in winter and summer were potential hydrological bottlenecks for the salmon population, particularly in winter due to potential dewatering of spawning sites. Restoration of spawning sites increased salmon production under all scenarios, posing a potential counter measure against low flows.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleIdentification of salmon population bottlenecks from low flows in a hydro-regulated rivernb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber11nb_NO
dc.source.volume120nb_NO
dc.source.journalEnvironmental Modelling & Softwarenb_NO
dc.identifier.doi10.1016/j.envsoft.2019.104494
dc.identifier.cristin1713901
dc.relation.projectNorges forskningsråd: 193818nb_NO
dc.description.localcode© 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)nb_NO
cristin.unitcode194,64,91,0
cristin.unitnameInstitutt for bygg- og miljøteknikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal