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dc.contributor.authorBraaten, Hans Fredrik Veiteberg
dc.contributor.authorde Wit, Heleen
dc.contributor.authorFjeld, Eirik
dc.contributor.authorRognerud, Sigurd
dc.contributor.authorLydersen, Espen
dc.contributor.authorLarssen, Thorjørn
dc.date.accessioned2019-03-26T13:28:36Z
dc.date.available2019-03-26T13:28:36Z
dc.date.created2014-02-06T13:13:23Z
dc.date.issued2014
dc.identifier.citationScience of the Total Environment. 2014, 476-477 (April), 336-345.nb_NO
dc.identifier.issn0048-9697
dc.identifier.urihttp://hdl.handle.net/11250/2591828
dc.description.abstractEnvironmental drivers of total mercury (TotHg) concentrations, methylmercury (MeHg) concentrations, and MeHg fractions (a proxy for methylation potential, expressed as %MeHg) were assessed in a synoptic study of 51 lakes in southeast (Boreal) and northeast (Subarctic) Norway. Concentrations of TotHg and MeHg ranged between 0.5–6.6 ng/L and < 0.02–0.70 ng/L, respectively. The lakes span wide ranges of explanatory environmental variables, including water chemistry, catchment characteristics, climate conditions, and atmospheric deposition of Hg, sulphur and nitrogen (N). Dissolved organic matter (DOM), measured as total organic carbon (TOC), was the variable most strongly correlated with TotHg (r2 = 0.76) and MeHg (r2 = 0.64) concentrations. Lakes in the Subarctic region had significantly lower TotHg and MeHg concentrations, and %MeHg than lakes in the Boreal region (p < 0.01), implying a lower aquatic food web exposure of aqueous Hg species in Subarctic Norway than in the Boreal lakes. Statistical modelling (partial least squares) using data from the Boreal lakes produced models explaining 82%, 75% and 50% of the spatial variation of TotHg and MeHg concentrations and %MeHg, respectively. After TOC, the most significant explanatory variables were N availability, base cation status, and lake and catchment size. We conclude that a key process driving TotHg concentrations is DOM as a transport vector, while the role of DOM for MeHg and %MeHg is likely related to a combination of transport and DOM as a substrate for methylation. Also, negative correlations between MeHg, and catchment and lake size are consistent with in-lake and in-stream de-methylation processes. The statistical relationship suggests that N availability exerts a positive contribution on concentrations of MeHg and %MeHg.nb_NO
dc.language.isoengnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleEnvironmental factors influencing mercury speciation in Subarctic and Boreal lakesnb_NO
dc.title.alternativeEnvironmental factors influencing mercury speciation in Subarctic and Boreal lakesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber336-345nb_NO
dc.source.volume476-477nb_NO
dc.source.journalScience of the Total Environmentnb_NO
dc.source.issueAprilnb_NO
dc.identifier.doi10.1016/j.scitotenv.2014.01.030
dc.identifier.cristin1110293
dc.relation.projectNorges forskningsråd: 196295nb_NO
cristin.unitcode222,58,1,0
cristin.unitnameInstitutt for natur, helse og miljø
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal