Document of bibliographic reference 107220

BibliographicReference record

Type
Bibliographic resource
Type of document
Book chapters
Type of document
Conference paper
BibLvlCode
AMS
Title
Database on Black Sea benthic diatoms (Bacillariophyta): its use for a comparative study of diversity pecularities under technogenic pollution impacts
Abstract
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.
Bibliographic citation
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.) 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
Topic
Marine
Access rights
open access
Is accessible for free
true

Authors

author
Identifier
https://orcid.org/0000-0002-0137-486X
author
Name
Elena Nevrova

thesaurus terms

term
Benthos (term code: 877 - defined in term set: ASFA Thesaurus List)
Diatoms (term code: 2303 - defined in term set: ASFA Thesaurus List)
MED, Black Sea (term code: 185828 - defined in term set: ASFA Geoterms)
Pollution (term code: 6383 - defined in term set: ASFA Thesaurus List)
Species diversity (term code: 7869 - defined in term set: ASFA Thesaurus List)

geographic terms

geographic terms associated with this publication
Black Sea

Document metadata

date created
2007-01-30
date modified
2008-11-26