This research executed biomonitoring of anthropogenic changes in the fragile ecosystems of the Arctic by implementing a system of repeated observations of several coastal areas in the Barents Sea that differ in their geographical location, anthropogenic load and seawater salinity level. The level of metal pollution (Cu, Cd, Pb) was determined by their concentrations in brown algae of the genus Fucus. The data covers a period from 2010 to 2018. The results show that the average metal concentrations were much higher than the background levels at most stations for all algae compared to a reference point. In the most polluted waters, the average concentrations of Сu, Cd and Pb exceeded the background levels by 5–6, 1.5–2.5 and 3–5 times, respectively. The average metal concentrations were much lower than that in other regions of the world ocean (over 2–14 times). Seasonal variability somewhat differed by species; however, at most stations, the metal concentration showed a decreasing tendency from winter to summer for all species. MANOVA showed that the salinity level, interaction between site and season and all three factors combined had the strongest influence on the metal concentration. A decreasing series of polluted water bodies in the Murmansk coast was compiled, and the metal pollution index (MPI) calculated for the seawater and algae samples confirmed these levels of anthropogenic impact. It was demonstrated that the metal concentrations in algae correlated well with that in water. This study provides valuable background level data for the Murman Coast of the Barents Sea.

这项研究通过对巴伦支海几个不同地理位置、人为负荷和海水盐度水平的沿海地区实施重复观测系统，对北极脆弱生态系统中的人为变化进行了生物监测。金属污染的程度（铜，镉，铅）中的溶液可以通过在属的褐藻浓度确定墨角藻. 数据涵盖了 2010 年至 2018 年的时间段。结果显示，与参考点相比，所有藻类的平均金属浓度远高于大多数站点的背景水平。在污染最严重的水域中，Сu、Cd 和 Pb 的平均浓度分别超过背景水平 5-6、1.5-2.5 和 3-5 倍。平均金属浓度远低于世界海洋其他地区（超过 2-14 倍）。季节性变化因物种而异；然而，在大多数站点，所有物种的金属浓度从冬季到夏季呈现下降趋势。MANOVA 表明盐度水平、地点和季节之间的相互作用以及所有三个因素的结合对金属浓度的影响最强。编制了摩尔曼斯克海岸污染水体减少的系列，为海水和藻类样本计算的金属污染指数 (MPI) 证实了这些人为影响水平。结果表明，藻类中的金属浓度与水中的金属浓度相关。这项研究为巴伦支海的摩尔曼海岸提供了宝贵的背景水平数据。