Log in

Development of fish age normalization technique for pollution assessment of marine ecosystem, based on concentrations of mercury, copper, and zinc in dorsal muscles of fish

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

Correlation between metal concentrations in fish tissues and fish body size poses certain challenge when comparing concentration levels encountered at different locations or time periods by degrading performance of statistical tests due to variable age composition of fish sample pool. In order to overcome this, the concentrations of Hg, Cu, and Zn, measured in tissues of five fish species, were normalized to selected age group. Computed species-specific equations, based on empirically obtained exponential relationship, provided accurate estimates of the normalized concentrations under the conditions of substantial metal and fish age covariation. Obtained normalized and measured concentrations were then compared among sampling stations by means of commonly used analysis of variance (ANOVA) in combination with Tuckey’s HSD test, where 11 out of 18 considered cases showed significant smoothing of the observed differences. The applied method worked well in the case of locally distributed coastal species populations where transformed data allowed clearer separation of spatial areas exhibiting different levels of pollution. At the same time, application of the method on pelagic fish species was less successful due to high mobility of specimens and mixed impact on the population originating from variable pollution levels at different areas of the entire migration region; therefore, attribution of a sample pool to a specific catchment area can cause a bias in assessment results.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Åkerblom, S., Nilsson, M. B., Yu, J., Ranneby, B., & Johansson, K. (2012). Temporal change estimation of mercury concentrations in northern pike (Esox Iucius L.). in Swedish lakes. Chemosphere, 86, 439–445.

    Article  Google Scholar 

  • Åkerblom, S., Bignert, A., Meili, M., Sonesten, L., & Sundbom, M. (2014). Half a century of changing mercury levels in Swedish freshwater fish. AMBIO, 43, 91–103.

    Article  Google Scholar 

  • Boalt, E., Miller, A., & Dahlgren, H. (2014). Distribution of cadmium, mercury, and lead in different body parts of Baltic herring (Clupea harengus) and perch (Perca fluviatilis,): Implications for environmental status assessments. Marine Pollution Bulletin, 78, 1330–1136.

    Article  Google Scholar 

  • Brown, M. T., & Depledge, M. H. (1998). Determinants of trace metal concentrations in marine organisms. In W. L. Langston & M. J. Bebianno (Eds.), Metal metabolism in aquatic environments (pp. 185–271). Boston: Springer.

    Chapter  Google Scholar 

  • Conti, M. E., & Iacobucci, M. (2008). Marine organisms as biomonitors. In M. E. Conti (Ed.), Biological monitoring: Theory and applications (pp. 81–110). Southampton: WIT press.

    Chapter  Google Scholar 

  • EC. (2000). EU water framework directive 2000/60/EC. Official Journal of the European Communities. http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32000L0060. Accessed 7 December 2017.

  • EC. (2008). Marine strategy framework directive 2008/56/EC. Official Journal of the European Communities. http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32008L0056. Accessed 7 December 2017.

  • El-Moselhy, K. M., Othman, A. I., El-Azem, H. A., & El-Metwally, M. E. A. (2014). Bioaccumulation of heavy metals in some tissues of fish in Red Sea, Egypt. Egyptian Journal of Basic and Applied Sciences, 1, 97–105.

    Article  Google Scholar 

  • Everaarts, J. M., Heesters, R., & Fischer, C. V. (1993). Heavy metals (Cu, Zn, Pb, Cd) in sediment, zooplankton and epibenthic invertebrates from the area of the continental slope of the Banc d'Arguin (Mauritania). Hydrobiologia, 258, 41–58.

    Article  CAS  Google Scholar 

  • Evers, D. C., Savoy, L. J., DeSorbo, C. R., Yates, D. E., Hanson, W., Taylor, K. M., Siegel, L. S., Cooley Jr., J. H., Bank, M.S., Major, A., Munney, K., Mower, B. F., Vogel, H. S., Schoch, N., Pokras, M., Goodale, M. W., & Fair, J. (2008). Adverse effects from environmental mercury loads on breeding common loons. Ecotoxicology, 17, 69–81.

    Article  CAS  Google Scholar 

  • Feistel, R., Weinreben, S., Wolf, H., Seitz, S., Spitzer, P., Adel, B., Nausch, G., Schneider, B., & Wright, D. G. (2010). Density and absolute salinity of the Baltic Sea 2006–2009. Ocean Science, 6, 3–24.

    Article  CAS  Google Scholar 

  • Gibb, H., & O’Leary, K. G. (2014). Mercury exposure and health impacts among individuals in the artisanal and small-scale gold mining community: A comprehensive review. Environmental Health Perspect. https://doi.org/10.1289/ehp.1307864.

    Article  CAS  Google Scholar 

  • Harris, R. C., & Bodaly, R. A. (1998). Temperature, growth and dietary effects on fish mercury dynamics in two Ontario lakes. Biogeochemistry, 40, 175–187.

    Article  CAS  Google Scholar 

  • HELCOM. (2002). Environment of the Baltic Sea area 1994-1998. Baltic Sea Environment Proceedings No. 82A. http://helcom.fi/Lists/Publications/BSEP82a.pdf. Accessed 7 December 2017.

  • HELCOM. (2010). Hazardous substances in the Baltic Sea – An integrated thematic assessment of hazardous substances in the Baltic Sea. Baltic Sea Environment Proceedings 120B. http://www.helcom.fi/Lists/Publications/BSEP120B.pdf. Accessed 7 December 2017.

  • ISO/IEC stage ISO17025. (2017). General requirements for the competence of testing and calibration laboratories, 2017–11. Geneva: International Organization for Standardization.

    Google Scholar 

  • Lavoie, R. A., Jardine, T. D., Chumchal, M. M., Kidd, K. A., & Campbell, L. M. (2013). Biomagnification of mercury in aquatic food webs: A worldwide meta-analysis. Environmental Science and Technology, 47, 13385–13394.

    Article  CAS  Google Scholar 

  • Lindqvist, O. K., Johansson, M., Aastrup, A., Andersson, L., Bringmark, G., Hovsenius, L., Håkanson, A., Iverfeldt, Å., & Meili, M. (1991). Mercury in the Swedish environment – Recent research on causes, consequences and corrective methods. Water, Air and Soil Pollution. https://doi.org/10.1007/BF00542429.

  • Luczynska, J., & Tonska, E. (2006). The effect of fish size on the content of zinc, iron, copper, and manganese in the muscles of perch (Perca Fluviatilis L) and pike (Esox Lucius L). Archives of Polish Fisheries, 14, 5–13.

    Google Scholar 

  • Magalhães, M. C., Costa, V., Menezes, G. M., Pinho, M. R., Santos, R. S., & Monteiro, L. R. (2007). Intra- and inter-specific variability in total and methylmercury bioaccumulation by eight marine fish species from the Azores. Marine Pollution Bulletin. https://doi.org/10.1016/j.marpolbul.2007.07.006.

    Article  Google Scholar 

  • Magnusson, B., Näykki, T., Hovind, H., & Krysell, M. (2012). Handbook for calculation of measurement uncertainty in environmental laboratories. Oslo: Nordic Innovation.

    Google Scholar 

  • Moriarty, F. (1988). Ecotoxicology:The study of pollutants in ecosystems (2nd ed.). London: Academic Press.

    Google Scholar 

  • NFA. (2012). Market basket 2010 – Chemical analysis, exposure estimation and health related assessment of nutrients and toxic compounds in Swedish food baskets. Reports/risk assessments – Risk benefits/report no. 7–2012. Sweden: National Food Agency https://www.livsmedelsverket.se/globalassets/rapporter/2010/2012_livsmedelsverket_7_market_basket_2010.pdf. Accessed 7 December 2017.

    Google Scholar 

  • Olsson, M. (1976). Mercury level as a function of size and age in northern pike 1 and 5 years after the mercury ban in Sweden. AMBIO, 5, 73–76.

    CAS  Google Scholar 

  • Pohl, C., Löffler, A., Schmidt, M., & Seifert, T. (2006). A trace metal (Pb, Cd, Zn, Cu) balance for surface waters in the eastern Gotland Basin, Baltic Sea. Journal of Marine Systems, 60, 381–395.

    Article  Google Scholar 

  • Polak-Juszczak, L. (2009). Temporal trends in the bioaccumulation of trace metals in herring, sprat, and cod from the southern Baltic Sea in the 1994-2003 period. Chemosphere, 76, 1334–1339.

    Article  CAS  Google Scholar 

  • Polak-Juszczak, L. (2012). Bioaccumulation of mercury in the trophic chain of flatfish from the Baltic Sea. Chemosphere, 89, 585–591.

    Article  CAS  Google Scholar 

  • Sonesten, L. (2003). Fish mercury levels in lakes – Adjusting for Hg and fish-size covariation. Environmental Pollution, 125, 255–265.

    Article  CAS  Google Scholar 

  • Tomczak, M. T., Müller-Karulis, B., Järv, L., Kotta, J., Martin, G., Minde, A., Põllumäe, A., Razinkovas, A., Strake, S., Bucas, M., & Blenckner, T. (2009). Analysis of trophic networks and carbon flows in South-Eastern Baltic coastal ecosystems. Progress in Oceanography. https://doi.org/10.1016/j.pocean.2009.04.017.

    Article  Google Scholar 

  • Turaga, R. M. R., Howarth, R. B., & Borsuk, M. E. (2013). Perception of mercury risk and its management. Human and Ecological Risk Assessment: An International Journal. https://doi.org/10.1080/10807039.2013.858526.

    Article  CAS  Google Scholar 

  • U.S. EPA. (1991). Method 245.6. Determination of Mercury in Tissues by Cold Vapor Atomic Absorption Spectrometry, Revision 2.3. U.S. EPA. https://www.epa.gov/nscep. Accessed 7 December 2017.

  • U.S. EPA (1996). Method 3052. Microwave assisted acid digestion of silicieous and organically based matrices, revision 0. U.S. EPA. https://www.epa.gov/sites/production/files/2015-12/documents/3052.pdf. Accessed 7 December 2017.

  • U.S. EPA (2007). Method 7000B. Flame atomic absorption spectrophotometry, revision 2. U.S. EPA. https://www.epa.gov/sites/production/files/2015-12/documents/7000b.pdf. Accessed 7 December 2017.

  • Velusamy, A., Kumar, P. S., Ram, A., & Chinnadurai, S. (2014). Bioaccumulation of heavy metals in commercially important marine fishes from Mumbai Harbor, India. Marine Pollution Bulletin, 81, 218–224.

    Article  CAS  Google Scholar 

  • Vuorinen, P. J., Haahti, H., Leivuori, M., & Miettinen, V. (1998). Comparisons and temporal trends of organochlorines and heavy metals in fish from the Gulf of Bothnia. Marine Pollution Bulletin, 36, 236–240.

    Article  Google Scholar 

  • Yurkovskis, A., Wulff, F., Rahm, L., Andrushaitis, A., & Rodrigues-Medina, M. (1993). A nutrient budget of the Gulf of Riga, Baltic Sea. Estuarine, Coastal and Shelf Science, 37, 113–127.

    Article  CAS  Google Scholar 

Download references

Funding

The study was supported by the Latvian Environmental Protection Fund project – “Development of indicators of priority substances for the Marine Strategy Framework Directive – Heavy metals” (Project nr. 1-08/554/2014) and the State Research Program EVIDEnT – “The value and dynamic of Latvia’s ecosystems under changing climate.”

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Natalija Suhareva.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(PDF 166 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Suhareva, N., Aigars, J., Poikane, R. et al. Development of fish age normalization technique for pollution assessment of marine ecosystem, based on concentrations of mercury, copper, and zinc in dorsal muscles of fish. Environ Monit Assess 192, 279 (2020). https://doi.org/10.1007/s10661-020-08261-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-020-08261-x

Keywords

Navigation