International Journal of Ecotoxicology and Ecobiology

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New Statistical Approach to Spatial Analysis of Ecosystem of the Sasyk Reservoir, Ukraine

Received: 30 October 2016    Accepted: 30 November 2016    Published: 21 December 2016
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Abstract

This study represents a new statistical mapping approach in surface ecological mapping on the basis of environmental and phytoplankton data of the Sasyk Reservoir, formerly an estuary of the Black Sea coast. Ecological maps were constructed with the help of new tools in Statistica 12.0 Program. Bioindication groups and environmental variables in data mapping helped us to characterize the studied reservoir in summer 2013 as moderate temperature, fresh water, low acid and low alkaline, standing – low-streaming water, with medium amounts of oxygen, medium pollution, Class III of water quality, eutrophic, mainly with moderate concentrations of organic bounded nitrogen. The impact of coming elements affecting the reservoir ecosystem were revealed as the Sarata and Kogylnik rivers for water pH and organic pollution, and the Danube canal as the source of water salinity and available nitrogen. The central part of the reservoir was indicated as having the most unstable community with a large phytoplankton biomass and the lowest Shannon index. A new approach to surface mapping is so easy that we can recommend it for monitoring the Sasyk Reservoir ecosystem in combination with bioindication.

DOI 10.11648/j.ijee.20160103.19
Published in International Journal of Ecotoxicology and Ecobiology (Volume 1, Issue 3, December 2016)
Page(s) 118-126
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Phytoplankton, Environment, Bioindication, Water Quality, Pollution, Statistics, Estuarine Reservoir

References
[1] L. P. Braginsky, Ed., Bioproductivity and water quality conditions in the Sasyk reservoir on its desalination, Kiev, Nauk. Dumka, 1990, 276 pp. (in Russian).
[2] Z. G. Meteletskaya, “Saprobiotic characterization of water quality in the Sasyk reservoir based on the analysis of macrozoobenthos,” Hydrob. Journ., vol. 35 (1), pp. 122–129, 1999. (in Russian).
[3] G. N. Oleynik, V. N. Belokon' and T. N. Kabakova, “Bacteriobenthos and Heavy Metal Content in Benthic Sediment of the Sasyk Reservoir,” Hydrob. Journ., vol. 35 (1), pp. 20–31, 1999. (in Russian).
[4] A. V. Lyashenko, E. E. Zorina–Sacharova, V. V. Makovskyy, Ju. Ju. Sanjak and V. N. Procepova, “Structural and functional characteristics of macrozoobenthos communities and fish capacity of the Sasyk Reservoir,” Rybogospodars’ka nauka Ukrainy, vol. 2, pp. 60–66, 2010. (in Russian).
[5] O. P. Bilous, S. S. Barinova, N. O. Ivanova and O. A. Huliaieva, “The use of phytoplankton as an indicator of internal hydrodynamics of a large seaside reservoir-case of the Sasyk Reservoir, Ukraine,” Ecohydrol. Hydrobiol., vol. 16, pp. 160-174, 2016.
[6] G. I. Shvebs, Ed., Liman and Estuarine complexes Black Sea, Leningrad, Nauka, 1988, 303 pp. (in Russian).
[7] Ju. D. Shuyskyy and G. V. Vykhovanets, Nature of the Black Sea estuaries, Оdessa, Аstroprint, 2011, 275 pp. (in Russian).
[8] V. M. Timchenko, Ecologicaland hydrological studies of reservoirs northwest of the Black Sea, Kiev, Nauk. Dumka, 1990, 240 pp. (in Russian).
[9] N. O. Ivanova and О. О. Huliaieva, “Water balance of Sasyk as a factor of functioning in its ecosystem,” In: Proceedings of Ukrainian scientific conference with the international participation: Problems hydrology, hydrochemistry, hydroecology, pp. 122–124, Dnepropetrovsk, LLC "Accent PE", 2014. (in Russian).
[10] S. S. Barinova, P. D. Klochenko and Ye. P. Belous, “Algae as Indicators of the ecological state of water bodies: methods and prospects,” Hydrob. J., vol. 51 (6), pp. 3-21, 2015. DOI: 10.1615/HydrobJ.v51.i6
[11] S. Barinova and R. Sivaci, “Experimental approach to a lake ecosystem assessment in the Great Lota, Turkey,” The Experiment, vol. 9 (4), pp. 566-586, 2013.
[12] S. S. Barinova, T. M. Bragina and E. Nevo, “Algal species diversity of arid region lakes in Kazakhstan and Israel,” Commun. Ecol., vol. 10 (1), pp. 7-16, 2009.
[13] E. Krupa, G. Slyvinskiy and S. Barinova, “The effect of climatic factors on the long-term dynamics of aquatic ecosystem of the Balkhash Lake (Kazakhstan, Central Asia),” Adv. Stud. Biol., vol. 6 (3), pp. 115-136, 2014.
[14] E. G. Krupa and S. S. Barinova, “Environmental variables regulating the phytoplankton structure in high mountain lakes,” Res. J. Pharm., Biol. Chem. Sci., vol. 7 (4), pp. 1251-1261, 2016.
[15] S. Ghosh, S. Barinova and J. P. Keshri, “Diversity and seasonal variation of phytoplankton community in the Santragachi Lake, West Bengal, India,” QScinece Connect, vol. 3, pp. 1-19, 2012.
[16] S. Barinova, J. P. Keshri, S. Ghosh and J. Sikdar, “The influence of the monsoon climate on phytoplankton in the Shibpukur pool of Shiva temple in Burdwan, West Bengal, India,” Limnol. Rev., vol. 2 (2), pp. 47-63, 2012. DOI 10.2478/v10194-011-0044-y
[17] S. S. Barinova, E. Nevo and T. M. Bragina, “Ecological assessment of wetland ecosystems of northern Kazakhstan on the basis of hydrochemistry and algal biodiversity,” Acta Bot. Croat., vol. 70 (2), pp. 215–244, 2011. DOI 10.2478/v10184-010-0020-7.
[18] V. Klymiuk, S. Barinova and A. Fatiukha, “Algal bio-indication in assessment of hydrological impact on ecosystem in wetlands of “Slavyansky Resort”,” Transylv. Rev. Syst. Ecol. Res. "The Wetlands Diversity", vol. 17 (1), pp. 63-70, 2015.
[19] S. Barinova, and R. Romanov, “Charophyte community in the lowermost locality in the world near the Dead Sea, Israel,” Int. J. Plant Soil Sci., vol. 6 (4), pp. 229-243, 2015.
[20] P. Klochenko, T. Shevchenko, S. Barinova and O. Tarashchuk, “Assessment of the ecological state of the Kiev Reservoir by the bioindication method,” Oceanol. Hydrobiol. Stud., vol. 43 (3), pp. 228-236, 2014. DOI: 10.2478/s13545-014-0137-8.
Author Information
  • Institute of Evolution, University of Haifa, Haifa, Israel

  • Institute of Hydrobiology of NAS of Ukraine, Kiev, Ukraine

  • Institute of Hydrobiology of NAS of Ukraine, Kiev, Ukraine

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    Sophia Barinova, Olena Bilous, Natalia Ivanova. (2016). New Statistical Approach to Spatial Analysis of Ecosystem of the Sasyk Reservoir, Ukraine. International Journal of Ecotoxicology and Ecobiology, 1(3), 118-126. https://doi.org/10.11648/j.ijee.20160103.19

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    Sophia Barinova; Olena Bilous; Natalia Ivanova. New Statistical Approach to Spatial Analysis of Ecosystem of the Sasyk Reservoir, Ukraine. Int. J. Ecotoxicol. Ecobiol. 2016, 1(3), 118-126. doi: 10.11648/j.ijee.20160103.19

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    AMA Style

    Sophia Barinova, Olena Bilous, Natalia Ivanova. New Statistical Approach to Spatial Analysis of Ecosystem of the Sasyk Reservoir, Ukraine. Int J Ecotoxicol Ecobiol. 2016;1(3):118-126. doi: 10.11648/j.ijee.20160103.19

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  • @article{10.11648/j.ijee.20160103.19,
      author = {Sophia Barinova and Olena Bilous and Natalia Ivanova},
      title = {New Statistical Approach to Spatial Analysis of Ecosystem of the Sasyk Reservoir, Ukraine},
      journal = {International Journal of Ecotoxicology and Ecobiology},
      volume = {1},
      number = {3},
      pages = {118-126},
      doi = {10.11648/j.ijee.20160103.19},
      url = {https://doi.org/10.11648/j.ijee.20160103.19},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijee.20160103.19},
      abstract = {This study represents a new statistical mapping approach in surface ecological mapping on the basis of environmental and phytoplankton data of the Sasyk Reservoir, formerly an estuary of the Black Sea coast. Ecological maps were constructed with the help of new tools in Statistica 12.0 Program. Bioindication groups and environmental variables in data mapping helped us to characterize the studied reservoir in summer 2013 as moderate temperature, fresh water, low acid and low alkaline, standing – low-streaming water, with medium amounts of oxygen, medium pollution, Class III of water quality, eutrophic, mainly with moderate concentrations of organic bounded nitrogen. The impact of coming elements affecting the reservoir ecosystem were revealed as the Sarata and Kogylnik rivers for water pH and organic pollution, and the Danube canal as the source of water salinity and available nitrogen. The central part of the reservoir was indicated as having the most unstable community with a large phytoplankton biomass and the lowest Shannon index. A new approach to surface mapping is so easy that we can recommend it for monitoring the Sasyk Reservoir ecosystem in combination with bioindication.},
     year = {2016}
    }
    

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    AU  - Sophia Barinova
    AU  - Olena Bilous
    AU  - Natalia Ivanova
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    AB  - This study represents a new statistical mapping approach in surface ecological mapping on the basis of environmental and phytoplankton data of the Sasyk Reservoir, formerly an estuary of the Black Sea coast. Ecological maps were constructed with the help of new tools in Statistica 12.0 Program. Bioindication groups and environmental variables in data mapping helped us to characterize the studied reservoir in summer 2013 as moderate temperature, fresh water, low acid and low alkaline, standing – low-streaming water, with medium amounts of oxygen, medium pollution, Class III of water quality, eutrophic, mainly with moderate concentrations of organic bounded nitrogen. The impact of coming elements affecting the reservoir ecosystem were revealed as the Sarata and Kogylnik rivers for water pH and organic pollution, and the Danube canal as the source of water salinity and available nitrogen. The central part of the reservoir was indicated as having the most unstable community with a large phytoplankton biomass and the lowest Shannon index. A new approach to surface mapping is so easy that we can recommend it for monitoring the Sasyk Reservoir ecosystem in combination with bioindication.
    VL  - 1
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