Environmental and biological factors are joint drivers of mercury biomagnification in subarctic lake food webs along a climate and productivity gradient

• Published in: Science of The Total Environment
• Main Authors: Kozak, Natalia, Ahonen, Salla A., Keva, Ossi, ostbye, Kjartan, Taipale, Sami J., Hayden, Brian, Kahilainen, Kimmo K.
• Other Authors: Biological stations, Lammi Biological Station, Kilpisjärvi Biological Station
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier Scientific Publ. Co 2021
• Subjects: Climate change; Fish; Food chain length; Invertebrates; Land-use; Stable isotopes; CHARR SALVELINUS-ALPINUS; FRESH-WATER; TROPHIC POSITION; CHAIN STRUCTURE; ONTARIO LAKES; BIOACCUMULATION; METHYLMERCURY; WHITEFISH; MARINE; 1172 Environmental sciences; Salvelinus alpinus; Subarctic
• Online Access: http://hdl.handle.net/10138/330949

Subarctic 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 degrees N), climatic (+3.2 degrees 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 ...