Database on Black Sea benthic diatoms (Bacillariophyta): its use for a comparative study of diversity pecularities under technogenic pollution impacts
Petrov, A.; Nevrova, E. (2007). Database on Black Sea benthic diatoms (Bacillariophyta): its use for a comparative study of diversity pecularities under technogenic pollution impacts, in: Vanden Berghe, E. et al. (Ed.) (2007). Proceedings Ocean Biodiversity Informatics: International Conference on Marine Biodiversity Data Management, Hamburg, Germany 29 November to 1 December, 2004. VLIZ Special Publication, 37: pp. 153-165
In: Vanden Berghe, E. et al. (Ed.) (2007). Proceedings Ocean Biodiversity Informatics: International Conference on Marine Biodiversity Data Management, Hamburg, Germany 29 November to 1 December, 2004. VLIZ Special Publication, 37. IOC Workshop Report, 202. VI, 192 pp., more
In: VLIZ Special Publication. Vlaams Instituut voor de Zee (VLIZ): Oostende. ISSN 1377-0950
The taxonomic database of Black Sea benthic diatom algae was created using Microsoft Office Access software and data are based on the review of available literature from 5 coastal zones: the Caucasian, Crimean, Bulgarian and Romanian coasts and the northwestern shelf (NWBS). The results of our own sampling surveys performed along the Crimean and Caucasian coasts in the period 1984-2001 were also used. The total list of Black Sea benthic diatoms holds 553 species (705 species and intraspecific taxa), pooled in 115 genera, 59 families, 31 orders, and 3 classes of Bacillariophyta. The highest species richness of diatoms is registered near Crimea and in the NWBS, representing respectively 64.2% and 69.5% of the total number of benthic diatom species ever registered in the Black Sea. Comparative multivariate analysis of benthic diatom taxocenes from three near shore water areas of SW Crimea is done by using quantitative data on species diversity and abundance of diatoms. Those biotopes (Laspi bay, a healthy site; the open water area nearby the mouth of Sevastopol bay, a moderately polluted site and the central part of the main Sevastopol bay, a severely polluted area) differ substantially in heavy metal content (Hg, Cu, Pb, Zn, Cr and Mn) and other toxicants (DDT, PCBs, oil hydrocarbons) in the upper sediment layer (1-4 cm). Based on PCA analysis, two principal environmental components (PCs) revealed that in, through technogenically impacted locations, PC1 (55% of the total variance) is associated with the concentration gradient of several heavy metals (Pb, Cu, Mn and Cr), whereas PC2 (24%) can be associated with changes in DDT and PCB content in the upper sediment layer. In each of the investigated areas, the specific taxocenotic diatom complexes could be statistically separated based on the results from clustering and MDS ordination, using complete linking of the Bray-Curtis similarity. The most important indicator species, which are principally responsible for the similarity within each of assemblages and the most significant discriminating species were also determined. It is proposed to consider Tabularia tabulata, Amphora proteus and Navicula palpebralis as indicators of conditionally unpolluted biotopes (Laspi bay), whereas Tryblionella punctata, Nitzschia sіgma, Caloneis liber and Melosira moniliformis can be considered as indicators of water areas subject to severe technogenic impact (Sevastopol bay). Comparative analyses show that the combination of the variables depth, Pb, Mn, Cu and PCBs can have the highest impact (Spearman rank, ρ = 0.73-0.76) on structural and diversity features of a diatom taxocene subject to different extent of toxicants.