Phytoplankton biodiversity and its relationship with aquatic environmental factors in Lake Uvildy, South Urals, Russia

Abstract

Kostryukova AM, Mashkova V, Krupnova TG, Egorov NO. 2018. Phytoplankton biodiversity and its relationship with aquatic environmental factors in Lake Uvildy, South Urals, Russia. Biodiversitas 19: 1422-1428. Lake Uvildy is one of the largest and the most unique of the South Ural region lakes. This mountain deep lake, which has the status of a natural monument. The purpose of this paper was to study the phytoplankton community structure and the aquatic environmental factors in Lake Uvildy. The phytoplankton samples were collected from 5 sites of Lake Uvildy, then filtered through the plankton net and were preserved in 5% formalin. Species were identified using the handbooks by Sladecek, Yarushina, and Al-Kandari. Water samples were taken for water quality analysis. The several physicochemical parameters were measured in situ by a Portable Meters (Multitest IPL-513 and Multitest KSL-111, Semico Ltd, Russia, Novosibirsk). The others parameters were measured in the laboratory of the Department of Chemistry of the South Ural State University according to the standard methods. The sampling was made during the vegetation period in June-July 2014. The water quality was evaluated using the Shannon biodiversity index. A total of 38 species (11 phyla, 31 genera), including 9 species of Chlorophyta, 13 species of Bacillariophyta, 9 species of Cyanophyta, 4 species of Euglenophyta, 2 species of Chrysophyta, 1 species of Dinophyta, were identified. The phytoplankton species in the lake were mainly represented by Cyanophyta and Bacillariophyta. There were 5 dominant species: Fragilaria crotonensis, Asterionella formosa, Dolichospermum lemmermannii, Microcystis aeruginosa, and Coenococcus planktonicus. The Shannon index value comprised 1.27-2.21. According to the saprobity index values (1.63-2.35), the water in the late is evaluated as satisfactorily clean. Physico-chemical parameters were factors driving the change in phytoplankton community composition in Lake Uvildy.

Identification of Environmental Factors Determining the Diversity and Abundance of Phytoplankton in Menjer Lake, Wonosobo, Indonesia

“…Phytoplankton diversity and abundance are related to water quality parameters. Environmental changes can cause changes in phytoplankton communities in terms of presence, abundance, diversity and dominance of species in their habitat [Kostryukova et al 2018]. Thus, observation of phytoplankton populations can be a reliable tool for assessing the pollution status of water bodies in biomonitoring studies [Parmar et al 2016;Singh et al 2013].…”

Study of the Trophic Status and Ecological State of the Coastal Zones of the Natural Monuments of the Chelyabinsk Region (Russia) of the Turgoyak and Uvildy Lakes

“…The rest is birch and alder. As a result of a decreasing water level in the lake in the 1985-1990s, the coastal part of the shallow waters was exposed to an area of about 200 hectares, and woody vegetation appeared on 10-15 % of this area [13]. Since the mid-twentieth century, Lake Uvildy has been used for recreational purposes.…”

“…The lakes of the Uvildy zone are actively used as sources of drinking water and industrial water supply, for drainage and recreation, and fishing purposes. The authors of this article have repeatedly studied the relationship between the trophic level of aquatic ecosystems of the forest zone of the Chelyabinsk region using quantitative and qualitative methods for assessing the phytoplankton community [13][14][15][16].…”

Structure Community of Phytoplankton as a Bioindicator of Water Quality in Situ Rawa Dongkal, East Jakarta, Indonesia

“…This value describes the pressure, stability, and disturbances in aquatic ecosystems (Sentosa et al, 2018;Hidayat et al, 2019). Several important components such as salinity, depth, nutrients, mixing of water masses, temperature, wind and currents have a role in differences in plankton communities in waters (Kostryukova et al, 2018). Based on the results of this study, it is known that only tourist area stations have the highest diversity (H'), Uniformity (E) and Dominance (D) values compared to the other three stations.…”