Temporal trends of mercury in Arctic biota: 10 more years of progress in Arctic monitoring
Morris, Adam | Wilson, Simon | Fryer, Rob | Thomas, Philippe | Hudelson, Karista | Andreasen, Birgitta | Blévin, Pierre | Bustamante, Paco | Chastel, Olivier | Christensen, Guttorm | Dietz, Rune | Evans, Marlene | Evenset, Anita | Ferguson, Steven | Fort, Jérôme | Gamberg, Mary | Grémillet, David | Houde, Magali | Letcher, Robert | Loseto, Lisa | Muir, Derek | Pinzone, Marianna | Poste, Amanda | Routti, Heli | Sonne, Christian | Stern, Gary | Rigét, Frank | Northern Contaminants Program [Canada] ; Crown-Indigenous Relations and Northern Affairs Canada | Arctic Monitoring and Assessment Programme [Norway] (AMAP) | Environment and Climate Change Canada (ECCC) | Hudelson Consulting [Canada] | University of the Faroe Islands | LIttoral ENvironnement et Sociétés (LIENSs) ; Institut national des sciences de l'Univers (INSU - CNRS)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS) | Institut universitaire de France (IUF) ; Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.) | Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) ; La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Arctic Research Centre [Aarhus] (ARC) ; Aarhus University [Aarhus] | Fisheries and Oceans Canada = Pêches et Océans Canada [Ottawa] (DFO-MPO) | Gamberg Consulting [Canada] | Université de Liège = University of Liège = Universiteit van Luik = Universität Lüttich (ULiège) | Norwegian Institute for Water Research (NIVA) | Norwegian Polar Institute | Centre for Earth Observation Sciences (CEOS) ; University of Manitoba [Winnipeg] | ANR-16-CE34-0005,ILETOP,Impact des polluants historiques et émergents sur les prédateurs supérieurs marins de l'Arctique(2016) | ANR-20-CE34-0006,ARCTIC-STRESSORS,Effets combinés des stresseurs environnementaux multiples sur les oiseaux marins Arctiques(2020)
International audience
Показать больше [+] Меньше [-]Английский. Temporal trend analysis of (total) mercury (THg) concentrations in Arctic biota were assessed as part of the 2021 Arctic Monitoring and Assessment Programme (AMAP) Mercury Assessment. A mixed model including an evaluation of non-linear trends was applied to 110 time series of THg concentrations from Arctic and Subarctic biota. Temporal trends were calculated for full time series (6–46 years) and evaluated with a particular focus on recent trends over the last 20 years. Three policy-relevant questions were addressed: (1) What time series for THg concentrations in Arctic biota are currently available? (2) Are THg concentrations changing over time in biota from the Arctic? (3) Are there spatial patterns in THg trends in biota from the Arctic? Few geographical patterns of recent trends in THg concentrations were observed; however, those in marine mammals tended to be increasing at more easterly longitudes, and those of seabirds tended to be increasing in the Northeast Atlantic; these should be interpreted with caution as geographic coverage remains variable. Trends of THg in freshwater fish were equally increasing and decreasing or non-significant while those in marine fish and mussels were non-significant or increasing. The statistical power to detect trends was greatly improved compared to the 2011 AMAP Mercury Assessment; 70% of the time series could detect a 5% annual change at the 5% significance level with power ≥ 80%, while in 2011 only 19% met these criteria. Extending existing time series, and availability of new, powerful time series contributed to these improvements, highlighting the need for annual monitoring, particularly given the spatial and temporal information needed to support initiatives such as the Minamata Convention on Mercury. Collecting the same species/tissues across different locations is recommended. Extended time series from Alaska and new data from Russia are also needed to better establish circumarctic patterns of temporal trends
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