A comparative assessment of heavy metal accumulation in soft parts and byssus of mussels from subarctic, temperate, subtropical and tropical marine environments

• Published in: Environmental Pollution
• Main Authors: Szefer, P., Fowler, S.W., Ikuta, K., Paez Osuna, F., Ali, A.A., Kim, B-S., Fernandes, H.M., Belzunce, M.J., Guterstam, B., Kunzendorf, H., Wolowicz, M., Hummel, H., Deslous-Paoli, M.
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2006
• Subjects: Subarctic
• Online Access: https://pure.knaw.nl/portal/en/publications/a86dc7a1-3c81-42df-8a93-79e2d87b3a7c; https://doi.org/10.1016/j.envpol.2005.04.031; https://hdl.handle.net/20.500.11755/a86dc7a1-3c81-42df-8a93-79e2d87b3a7c

Existing data on metal concentrations in mussels from subarctic, temperate, subtropical and tropical waters were analyzed using multivariate statistics in order to assess regional variations in metal contamination. Potential errors were reduced by only analyzing data from surveys that employed the same protocols, analytical methodologies and analysts. Factor analysis demonstrated that mussels inhabiting extremely contaminated areas (e.g. from Japanese and Swedish metallurgy sources) could be separated from mussels from other contaminated areas, and that metals such as Cd, Pb, Cu and Zn could be used to identify heavily contaminated samples while Co, Fe, Cr and Ni concentrations were good markers for exposure to inputs from different industrial sources. Furthermore byssus, like soft tissue, selectively and sensitively reflects variations of certain metal concentrations in ambient waters and thus serves as a reliable biomonitor for these contaminants in a variety of coastal and estuarine areas. Byssus of mytilids, like soft tissues can be used as efficient biomonitor for heavy metals in the marine environment. [KEYWORDS: mussel Trace metals Soft tissue Byssus Temperate Subtropical and tropical marine regions] Existing data on metal concentrations in mussels from subarctic, temperate, subtropical and tropical waters were analyzed using multivariate statistics in order to assess regional variations in metal contamination. Potential errors were reduced by only analyzing data from surveys that employed the same protocols, analytical methodologies and analysts. Factor analysis demonstrated that mussels inhabiting extremely contaminated areas (e.g. from Japanese and Swedish metallurgy sources) could be separated from mussels from other contaminated areas, and that metals such as Cd, Pb, Cu and Zn could be used to identify heavily contaminated samples while Co, Fe, Cr and Ni concentrations were good markers for exposure to inputs from different industrial sources. Furthermore byssus, like soft tissue, ...