Response of phytoplankton to heavy pollution of water bodies

Author:

Shevchenko Tatyana1,Klochenko Peter1,Nezbrytska Inna1

Affiliation:

1. Department of Ecology of Aquatic Plants and Toxicology , Institute of Hydrobiology of National Academy of Sciences of Ukraine , Geroyiv Stalingrada Ave. 12 , Kyiv , Ukraine

Abstract

Abstract Phytoplankton structure was studied in five ponds (located in the Oleksandriya Nature Park, Ukraine), which significantly differed in the level of their contamination. The concentration of ammonium (NH4 +-N) in the studied water bodies was 0.02–74.00 mg l−1, of nitrite (NO2 -N) – 0.002–1.750 mg l−1, nitrate (NO3 -N) – 0.13–58.00 mg l−1, inorganic compounds of phosphorus (Pinorg) – 0.041–0.160 mg l−1, chloride (Cl) – 35.4–560.5 mg l−1, whereas the content of organic matter (PO and DO) – 4.4–10.4 and 18.0–81.0 mg O l−1, respectively. It has been found that the response of phytoplankton to heavy pollution consisted in changes in its species richness, taxonomic structure, species composition, quantitative indices, numbers and biomass structure, dimensional structure, pigment index, dominant complex, as well as changes in its ecological spectrum. Individual divisions of algae differed in their response to heavy pollution of water bodies, which was conditioned by the specificity of algae metabolism. Bacillariophyta and Cyanoprokaryota proved to be more sensitive to contamination, whereas Chlorophyta and Euglenophyta – more tolerant. The obtained data can be used to monitor the status of water bodies and their biota and to determine the type and intensity of contamination.

Publisher

Walter de Gruyter GmbH

Subject

Oceanography

Reference70 articles.

1. Afanasyev, S.A. (2019).Problems and progress of investigations of hydroecosystems’ ecological state in view of implementation of environmental directives in Ukraine. Hydrobiol. J. 55(2): 3–18. DOI: 10.1615/HydrobJ.v55.i2.10.

2. Amengual-Morro, C., Moyà Niell, G. & Martínez-Taberner, A. (2012). Phytoplankton as bioindicator for waste stabilization ponds. J. Environ. Manag. 95: S71–S76. DOI: 10.1016/j.jenvman.2011.07.008.

3. Arsan, O.M., Davydov, O.A., Dyachenko, T.M., Yevtushenko, N.Yu., Zhukinskiy, V.M. et al. (2006 Metody gidroekologichnykh doslidzhen poverkhnevykh vod. (Methods of hydroecological investigations of surface waters) Kyiv: Logos Press.

4. Barinova, S.S., Medvedeva, L.A. & Anisimova, O.V. (2006). Bioraznoobraziye vodorosley-indikatorov okruzhayushchey sredy. (Biodiversity of algae – indicators of the environment) Tel-Aviv: Pilies Studio Press.

5. Barinova, S.S., Klochenko, P.D. & Belous, Ye.P. (2015). Algae as indicators of the ecological state of water bodies: methods and prospects. Hydrobiol. J. 51(6): 3–21. DOI: 10.1615/HydrobJ.v51.i6.10.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3