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Archives of Biological Sciences 2013 Volume 65, Issue 1, Pages: 151-159
https://doi.org/10.2298/ABS1301151S
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Biological indication of heavy metal pollution in the areas of Donje Vlase and Cerje (southeastern Serbia) using epiphytic lichens

Stamenković S.S. (Faculty of Sciences and Mathematics, Department of Biology and Ecology, Niš)
Mitrović Tatjana Lj. (Faculty of Sciences and Mathematics, Department of Biology and Ecology, Niš)
Cvetković V.J. (Faculty of Sciences and Mathematics, Department of Biology and Ecology, Niš)
Krstić N.S. ORCID iD icon (Faculty of Sciences and Mathematics, Department of Chemistry, Niš)
Baošić Rada M. ORCID iD icon (Faculty of Chemistry, Belgrade)
Marković Marija S. ORCID iD icon (Faculty of Sciences and Mathematics, Department of Biology and Ecology, Niš)
Nikolić N.D. (Faculty of Sciences and Mathematics, Department of Chemistry, Niš)
Marković V.Lj. (Faculty of Sciences and Mathematics, Department of Physics, Niš)
Cvijan M.V. (Faculty of Biology, Belgrade)

The performance of two epiphytic lichen species (Evernia prunastri (L.) Ach. and Parmelia sulcata Taylor) as bioindicators of heavy metal pollution in natural areas around the city of Niš (southeastern Serbia) were evaluated. The concentration of 19 heavy metals in lichen samples was measured by inductively coupled plasma-optical emission spectroscopy. For the majority of the elements the concentrations found in Parmelia sulcata Taylor were higher than in Evernia prunastri (L.) Ach. In addition, interspecific differences in heavy metal accumulation between Evernia prunastri (L.) Ach. and Parmelia sulcata Taylor are observed. Parmelia sulcata Taylor showed a tendency to accumulate Fe, Mn, Ni and Ti while Evernia prunastri (L.) Ach. preferentially concentrated Cu on both locations. A clear distinction between lithogenic (Mn-Cu-Ti) and atmospheric elements (Ni-Co-Cr-Ag-Pb-Hg) was achieved by cluster analysis.

Keywords: Lichens, Evernia prunastri (L.) Ach., Parmelia sulcata Taylor, bioindication, air pollution, bioaccumulation, heavy metals, ICP OES, hierarchical cluster analysis

Projekat Ministarstva nauke Republike Srbije, br. III41018, br. OI 171025, br. 172017 and br. III41017