Author:
Kammann Ulrike,Pohlmann Jan-Dag,Wariaghli Fatima,Bourassi Hajar,Regelsberger Klara,Yahyaoui Ahmed,Hanel Reinhold
Abstract
Abstract
Background
In Morocco, fish is an important protein source especially, even not exclusively, for coastal communities and marketed fresh all along the coastline. One of the main targets of coastal artisanal fisheries is the European conger (Conger conger, Linnaeus 1758), a widely distributed benthic predatory species of a maximum weight of up to 50 kg. However, information on heavy metal contamination of conger is scarce. Therefore, concentrations of mercury, lead and cadmium were analysed in 108 European conger specimens from nine locations along the along the Atlantic and Mediterranean coasts of Morocco to describe the spatial distribution of heavy metal contamination.
Results
The average heavy metal concentration in all conger samples under investigation was 246.90 ± 216.83 µg mercury/kg wet mass, 74.14 ± 87.02 µg lead/kg wet mass and 255.12 ± 287.15 µg cadmium/kg wet mass respectively. Mercury and cadmium showed a clear site-specific bioaccumulation in European conger but lead does not. Hence, the effect of fish length bias on contamination was corrected through a generalized linear model (GLM) prior to any spatial comparison.
Conclusions
Different regional hotspots for the three analysed metals are identified and local sources are discussed. Mercury levels in big specimens of European conger exceeded the European threshold level for human consumption at some of the locations under investigation.
Funder
German Federal Ministry of Education and Research
Program of Moroccan-German scientific research cooperation
DAAD
Johann Heinrich von Thünen-Institut, Bundesforschungsinstitut für Ländliche Räume, Wald und Fischerei
Publisher
Springer Science and Business Media LLC
Reference49 articles.
1. Afandi I, Talba S, Benhra A, Benbrahim S, Chfiri R, Labonne M, Masski H, Laë R, Tito De Morais L, Bekkali M, Bouthir FZ (2018) Trace metal distribution in pelagic fish species from the north-west African coast (Morocco). Int Aquat Res 10:191–205. https://doi.org/10.1007/s40071-018-0192-7
2. Akaike H (1973) Information theory as an extension of the maximum likelihood principle. In: Petrov BN, Csaki F (eds) Second international symposium on information theory. Budapest, Akaemiai Kiado, pp 267–281
3. Azizi G, Layachi M, Akodad M, Yáñez-Ruiz DR, Martín-García AI, Baghour M, Moumen A (2018) Seasonal variations of heavy metals content in mussels (Mytilus galloprovincialis) from Cala Iris offshore (Northern Morocco). Mar Pollut Bull 137:688–694. https://doi.org/10.1016/j.marpolbul.2018.06.052
4. Baali A, Kammann U, Hanel R, El Qoraychy I, Yahyaoui A (2016) Bile metabolites of polycyclic aromatic hydrocarbons (PAHs) in three species of fish from Morocco. Environ Sci Eur. https://doi.org/10.1186/s12302-016-0093-6
5. Bates D, Maechler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. J Stat Softw 67(1):1–48. https://doi.org/10.18637/jss.v067.i01
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献