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ORIGINAL RESEARCH article

Front. Mar. Sci.

Sec. Marine Pollution

Bio-monitoring heavy metal pollution: Insights from benthic foraminiferal assemblages and shell morphology

Provisionally accepted
Zishang  LiuZishang Liu1Minghang  HeMinghang He1Peilin  HanPeilin Han1Shuaishuai  DongShuaishuai Dong1*Xiutao  ChenXiutao Chen2*
  • 1Jiangsu Ocean University School of Marine Science and Fisheries, Lianyungang, China
  • 2Zhanhua Marine Development and Fisheriers Bureau of Binzhou City, Binzhou, Binzhou, China

The final, formatted version of the article will be published soon.

Coastal marine ecosystems are increasingly threatened by heavy metal pollution, necessitating robust biomonitoring tools. This study investigates the efficacy of benthic foraminiferal assemblages and morphology as bioindicators for heavy metal contamination in Bohai Bay, China. Sediment samples from seven stations were analyzed for six heavy metals (Cu, Pb, Cd, Zn, As, Hg) and foraminiferal parameters. A total of 24 species and 1594 benthic foraminiferal individuals were identified. Results revealed significant negative correlations between Cu/Cd concentrations and foraminiferal diversity indices (Species richness, Margalef index), indicating metal-induced ecological stress. Ammonia species and Protelphidium tuberculatum exhibited tolerance, dominating moderately polluted areas, whereas Quinqueloculina seminula showed sensitivity. Critically, test deformity rates in the dominant species Ammonia aomoriensis and Q. seminula were significantly positively correlated with Pb and Zn levels, respectively, highlighting species-specific morphological responses to metal stress. This integrated approach, combining community dynamics with morphological biomarkers, provides a powerful and sensitive framework for assessing heavy metal pollution in coastal environments, offering valuable insights for the environmental management of Bohai Bay.

Keywords: Foraminifera, heavy metal, Bioindicators, Community, Bohai Bay

Received: 30 Sep 2025; Accepted: 31 Oct 2025.

Copyright: © 2025 Liu, He, Han, Dong and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Shuaishuai Dong, sdong@jou.edu.cn
Xiutao Chen, zhchenxiutao@163.com

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