Federal Research Centre the Subtropical Scientific Center of the Russian Academy of Sciences, 2/28 Jānis Fabriciuss, Krasnodar Krai, Sochi 354002, Russian Federation.
Federal Research Centre the Subtropical Scientific Center of the Russian Academy of Sciences, 2/28 Jānis Fabriciuss, Krasnodar Krai, Sochi 354002, Russian Federation.
Mar Pollut Bull. 2024 Oct;207:116831. doi: 10.1016/j.marpolbul.2024.116831. Epub 2024 Aug 11.
Macroalgae have long served as bioindicators of pollution in coastal marine environments. However, conventional pollution assessment methods often take a compartmentalized approach, either focusing on macrophyte biological parameters or independently analyzing heavy metal and oil product bioaccumulation within them. This study establishes connections between: (1) the characteristics of chemical pollution in brown, green, and red macroalgae, (2) organic pollution in the nutrient medium, and (3) the resulting changes in phytocenosis composition and macrophyte morphological characteristics. The research was conducted in the coastal zone near the Sochi River mouth on the Black Sea coast of Russia, encompassing the urban center of the Sochi metropolitan area. Inductively Coupled Plasma (ICP) analysis quantified the accumulation levels of 60 chemical elements within macrophyte algae. The novel aspect of this study is the development of a quantitative metric for assessing the overall chemical pollution impacting the ecologically crucial macroalgae Cystoseira. This systematic approach represents a significant advancement in the comprehensive evaluation and management of coastal water quality. The study identified two contrasting accumulation patterns: (1) pollution-tolerant annual algae exhibited an exclusion mechanism for chemical elements, while (2) Cystoseira displayed a non-exclusion accumulation pattern, potentially explaining its absence in the most heavily polluted zone. This approach paves the way for establishing a standardized scale for algal chemical pollution, reflecting a range from permissible to highly hazardous levels in seawater. This will enable rapid acquisition of both qualitative and quantitative pollution data, streamline monitoring efforts, and expedite the implementation of control measures.
大型藻类长期以来一直被用作沿海海洋环境中污染的生物指标。然而,传统的污染评估方法通常采取分区方法,要么关注大型植物的生物参数,要么独立分析它们内部的重金属和石油产品的生物积累。本研究建立了以下方面之间的联系:(1)棕色、绿色和红色大型藻类中化学污染的特征,(2)营养介质中的有机污染,以及(3)由此导致的植物群落组成和大型植物形态特征的变化。该研究在俄罗斯黑海沿岸的索契河口附近的沿海地区进行,涵盖了索契大都市地区的城市中心。电感耦合等离子体(ICP)分析定量了大型藻类中 60 种化学元素的积累水平。本研究的新颖之处在于开发了一种定量指标来评估对生态至关重要的大型藻类 Cystoseira 的整体化学污染。这种系统方法代表了对沿海水质进行全面评估和管理的重大进展。该研究确定了两种截然不同的积累模式:(1)耐污染的一年生藻类对化学元素表现出排斥机制,而(2)Cystoseira 表现出非排斥积累模式,这可能解释了它在污染最严重的区域不存在的原因。这种方法为建立藻类化学污染的标准化尺度铺平了道路,反映了海水中从允许到高度危险水平的范围。这将能够快速获取定性和定量的污染数据,简化监测工作,并加快实施控制措施。