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dc.contributor.authorKozak, Natalia
dc.contributor.authorAhonen, Salla A.
dc.contributor.authorKeva, Ossi
dc.contributor.authorØstbye, Kjartan
dc.contributor.authorTaipale, Sami J.
dc.contributor.authorHayden, Brian
dc.contributor.authorKahilainen, Kimmo K.
dc.date.accessioned2021-11-25T08:25:48Z
dc.date.available2021-11-25T08:25:48Z
dc.date.created2021-07-05T15:26:47Z
dc.date.issued2021
dc.identifier.citationScience of the Total Environment. 2021, 779 .en_US
dc.identifier.issn0048-9697
dc.identifier.urihttps://hdl.handle.net/11250/2831399
dc.description.abstractSubarctic lakes are getting warmer and more productive due to the joint effects of climate change and intensive land-use practices (e.g. forest clear-cutting and peatland ditching), processes that potentially increase leaching of peat- and soil-stored mercury into lake ecosystems. We sampled biotic communities from primary producers (algae) to top consumers (piscivorous fish), in 19 subarctic lakes situated on a latitudinal (69.0–66.5° N), climatic (+3.2 °C temperature and +30% precipitation from north to south) and catchment land-use (pristine to intensive forestry areas) gradient. We first tested how the joint effects of climate and productivity influence mercury biomagnification in food webs focusing on the trophic magnification slope (TMS) and mercury baseline (THg baseline) level, both derived from linear regression between total mercury (log10THg) and organism trophic level (TL). We examined a suite of environmental and biotic variables thought to explain THg baseline and TMS with stepwise generalized multiple regression models. Finally, we assessed how climate and lake productivity affect the THg content of top predators in subarctic lakes. We found biomagnification of mercury in all studied lakes, but with variable TMS and THg baseline values. In stepwise multiple regression models, TMS was best explained by negative relationships with food chain length, climate-productivity gradient, catchment properties, and elemental C:N ratio of the top predator (full model R2 = 0.90, p < 0.001). The model examining variation in THg baseline values included the same variables with positive relationships (R2 = 0.69, p = 0.014). Mass-standardized THg content of a common top predator (1 kg northern pike, Esox lucius) increased towards warmer and more productive lakes. Results indicate that increasing eutrophication via forestry-related land-use activities increase the THg levels at the base of the food web and in top predators, suggesting that the sources of nutrients and mercury should be considered in future bioaccumulation and biomagnification studies.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleEnvironmental and biological factors are joint drivers of mercury biomagnification in subarctic lake food webs along a climate and productivity gradienten_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber11en_US
dc.source.volume779en_US
dc.source.journalScience of the Total Environmenten_US
dc.identifier.doi10.1016/j.scitotenv.2021.146261
dc.identifier.cristin1920347
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal