Vol. 14, Special Issue 1: 1st Student Workshop on Ecology and Optics of the White Sea, 1-7, 2015

Quantitative benthic distribution in Kislo-Sladkoye Lake
Ekaterina Malyshko, Elena Nesmeyanova, Stella Ilchenko, Nadezhda Volovich, Maria Mardashova, Elena Krasnova, and Larisa Menshenina

Water bodies separating from the sea have recently been an object of increasing interest among specialists in various fields. Kislo-Sladkoye Lake situated near the White Sea Biological Station of Moscow State University is one of the model separating water reservoirs. The lake is under monitoring for hydrological, hydrochemical, and microbiological characteristics. Bacterial and phytoplankton communities are also a focus of attention. However, some aspects are still poorly understood. In this work first results of a quantitative survey of macrobenthos are presented.

The work is dedicated to the quantitative evaluation of the macrobenthic community of Kislo-Sladkoye Lake. Thirty samples were taken from 16 stations at the following depths: 0.5, 1, 1.5, 2, 2.5, 3, 4 m. Ten species of macrobenthic invertebrates were found in the dredge samples: Insecta: Diptera - 4 taxa (larvae and adults); Mollusca: Gastropoda - 2 taxa; Oligochaeta - 1 taxon, there were also Nematoda, Chironomidae as well as houses of Pectinaria koreni and debris of Dynamena pumila. The largest quantities are reached by Hydrobia ulvae and Chironomus salinarius; nematodes, oligochaetes, chironomids and other beetles are sufficient, too. Benthic biomass in this lake varies from 0.59 to 202.62 g/m2 with the highest amount of Hydrobia ulvae, Chironomus salinarius, Oligochaeta (at greater depths) and Ephydridae gen. sp.

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DOI: 10.12760/02-2015-1-01

Submitted: 21 Oct 2014
Revised: 26 Jan 2015
Accepted: 10 Feb 2015
Published: 20 Feb 2015
Responsible editor: Rainer Reuter

Malyshko E, E Nesmeyanova, S Ilchenko, N Volovich, M Mardashova, E Krasnova & L Menshenina, 2015. Quantitative benthic distribution in Kislo-Sladkoye Lake. EARSeL eProceedings, 14(S1): 1-7

EARSeL European Association of Remote Sensing Laboratories, Strasbourg, France


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ISSN 1729-3782