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Developing the Regional Indicator Indexes of Zooplankton for Water Quality Class Determination of Water Bodies in Siberia

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Novel Methods for Monitoring and Managing Land and Water Resources in Siberia

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Abstract

It is shown that the characteristics of individual species of zooplankton used to determine the water quality class in Western Siberia differ from those in Europe. To define a class of water quality in the saprobic indexes, the lists of indicator organisms were used based on the presence or absence of relevant taxa and their quantitative ratio. This allowed a water body or its area to be rated in an appropriate class of water quality. Usually the indicator significance and saprobic valence of indicator species were found in the tables developed through long-term research and literature data. These data were evaluated for European water bodies. However, the values of the indicator significance of individual species depend substantially on the number of regional factors, which can produce an essential error in the calculation of the index and saprobity and in the definition of the water quality class, respectively. In this paper the values of the indicator significance (s) and indicator weight (J) for 111 species of zooplankton were calculated taking into account the regional peculiarities of the South of Western Siberia. The examples of calculation according to Pantle and Buck’s saprobity index using indexes from the literature on one hand and calculated for the specific region on the other hand were discussed. It is shown that, using indexes obtained from regional features of the hydrochemical background of reservoirs and rivers, one can define the water quality class more exactly. Thus, the use of regional indexes is appropriate because it provides a more objective assessment of the state of the ecosystem.

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References

  • Andrushaitis GP, Tsimdin’ PA, Parele EA, Daksh LV (1981) Ecological indication of water quality of small rivers. Scientific foundation of surface water quality monitoring on hydrobiological parameters. (Экoлoгичecкaя индикaция кaчecтвa вoд мaлыx peк // Hayчныe ocнoвы кoнтpoля кaчecтвa пoвepxнocтныx вoд пo гидpoбиoлoгичecким пoкaзaтeлям). Hydrometeoizdat, Leningrad, pp 59–65 (in Russian)

    Google Scholar 

  • Balykin SN, Balykin DN, Saltykov AV, Puzanov AV (2011) The dynamics of soluble iron compounds in altai surface water. Basic and innovation aspects of biogeochemistry (Динaмикa coдepжaния pacтвopимыx фopм жeлeзa в пoвepxнocтныx вoдax Aлтaя. / Фyндaмeнтaльныe и иннoвaциoнныe acпeкты биoгeoxимии) Proceedings of Int. Biogeochem. School. GEOKHI RAS, Moscow, 365 p (in Russian)

    Google Scholar 

  • Chertoprud MV, Chertoprud ES (2010) A short guide to freshwater invertebrates for Center of European Russia (Кpaткий oпpeдeлитeль бecпoзвoнoчныx пpecныx вoд цeнтpa Eвpoпeйcкoй Poccии). Moscow, 184 p (in Russian)

    Google Scholar 

  • Ermolaeva NI, Dvurechenskaya SYa (2013) Regional indices of the indicator significance of zooplanktonic organisms in water bodies of southern Western Siberia. Russ J Ecol 44(6):527–531

    Article  Google Scholar 

  • Finogenova NP, Alimov AF (1976) Assessment of the degree of pollution on the composition of benthic. Methods of biological analyses of fresh water (Oцeнкa cтeпeни зaгpязнeния вoд пo cocтaвy дoнныx живoтныx // Meтoды биoлoгичecкoгo aнaлизa пpecныx вoд) Zool Inst Akad. Nauk SSSR, Leningrad, pp 95–106 (in Russian)

    Google Scholar 

  • GOST (State Standard) 17.1.2.04-77 (1977) Nature conservation. Hydrosphere. Indicators of status and rules for taxation of fishery water bodies. (ГOCT 17.1.2.04-77 Oxpaнa пpиpoды. Гидpocфepa. Пoкaзaтeли cocтoяния и пpaвилa тaкcaции pыбoxoзяйcтвeнныx вoдныx oбъeктoв) (in Russian)

    Google Scholar 

  • Il’in VB (1973) Biochemistry and agrochemistry of microelements (Manganese, copper, molybdenum, boron) in Southern Part of Western Siberia. (Биoгeoxимия и aгpoxимия микpoэлeмeнтoв (мapгaнeц, мeдь, мoлибдeн, бop) в южнoй чacти Зaпaднoй Cибиpи). Science, Novosibirsk, 392 p (in Russian)

    Google Scholar 

  • Il’in VB, Syso AI (2004) Microelements and heavy metals in soils and plants of Novosibirsk Region (Mикpoэлeмeнты и тяжeлыe мeтaллы в пoчвax и pacтeнияx Hoвocибиpcкoй oблacти) SB RAS, Novosibirsk, 229 p (in Russian)

    Google Scholar 

  • Lischeid G (2014) Non-linear approaches to assess water and soil quality. In: Mueller L, Saparov A, Lischeid G (eds) Novel measurement and assessment tools for monitoring and management of land and water resources in agricultural landscapes of Central Asia. Springer International Publishing, Cham, pp 356–378

    Google Scholar 

  • Makrushin AV (1974a) Biological analysis of water quality (Биoлoгичecкий aнaлиз кaчecтвa вoд) Zool Inst Akad. Nauk SSSR, Leningrad, 60 p (in Russian)

    Google Scholar 

  • Makrushin AV (1974b) Bibliographic index for biological analysis of waler quality, with a list of indicator organisms of water pollution (Библиoгpaфичecкий yкaзaтeль пo тeмe «Биoлoгичecкий aнaлиз кaчecтвa вoд» c пpилoжeниeм cпиcкa opгaнизмoв-индикaтopoв зaгpязнeния) Zool Inst Akad. Nauk SSSR, Leningrad, 53 p (in Russian)

    Google Scholar 

  • Naberezhnyiy AI (2010) Ecological certificates of rotifers for reservoirs of Moldova (Экoлoгичecкиe пacпopтa кoлoвpaтoк вoдoeмoв Moлдoвы). Herald Hydrobiology (in Russian). http://hydrobiologist.wordpress.com/. Accessed 10 Nov 2014

  • Nechaeva EG (2001) Landscape and geochemical system of Asian Russia. Geogr Nat Res (Лaндшaфтнo-гeoxимичecкoe paйoниpoвaниe Aзиaтcкoй Poccии // Гeoгpaфия и пpиpoдныe pecypcы)(1): 12–18 (in Russian)

    Google Scholar 

  • Oksiyuk OP, Zhukinskii VN, Braginskii LP (1993) A complex ecological classification of the quality of land surface waters (Кoмплeкcнaя экoлoгичecкaя клaccификaция кaчecтвa пoвepxнocтныx вoд cyши) Gidrobiol Zhu. 29(3): 42–76 (in Russian)

    Google Scholar 

  • Pantle R, Buck H (1955) Die biologische Ueberwachung der Gewaesser und die Darstellung der Ergebnisse. Gas–und Wasserfach 96(18):604–618

    Google Scholar 

  • Shitikov VK, Zinchenko TD, Golovatyuk LV (2003) A method for assessing the quality of surface waters by macrobenthos based on species indicator valences (Meтoд oцeнки кaчecтвa пoвepxнocтныx вoд пo мaкpoбeнтocy нa ocнoвe видoвыx индикaтopныx вaлeнтнocтeй). In: Proceedings of the 2nd international conference on lake ecosystems: biological processes anthropogenic transformation and water quality, Minsk–Naroch, pp 537–540 (in Russian)

    Google Scholar 

  • Sladeček V (1973) System of water quality from the biological point of view. Arch Hydrobiol Ergeb Limnol (3):218

    Google Scholar 

  • Tsimdin’ PA (1979) Rotifers as indicators ot saprobity (Кoлoвpaтки кaк биoиндикaтopы caпpoбнocти). Gidrobiol Zh 15(4):63–67 (in Russian)

    Google Scholar 

  • Unified Methods (1977) Unified methods for water assessment, part 3 (Methods for biological analysis of waters), Appendix 2. (Atlas of saprobic organisms). (Унифициpoвaнныe мeтoды иccлeдoвaния кaчecтвa вoд (1977). Ч. Ш. Meтoды биoлoгичecкoгo aнaлизa вoд. Пpилoжeниe 2. Aтлac caпpoбныx opгaнизмoв). SEV 1977, Moscow, 227 p (in Russian)

    Google Scholar 

  • Yermolaeva NI, Dvurechenskaya SYA (2007) Indicator significance of the various groups of zooplankton of limnological systems in Western Siberia (Индикaтopнoe знaчeниe paзличныx гpyпп зooплaнктoнa лимничecкиx cиcтeм Зaпaднoй Cибиpи). In: Proceedings of the international conference (selected papers) “bioindication in freshwater ecosystems monitoring”. LEMA, St. Petersburg, pp 217–221 (in Russian)

    Google Scholar 

  • Yermolaeva NI, Dvurechenskaya SYA (2014) Determination of indicative significance of zooplankton subject to regional distinctions reservoirs in the south of Western Siberia (Oпpeдeлeниe индикaтopнoй знaчимocти зooплaнктoнa c yчeтoм peгиoнaльныx ocoбeннocтeй вoдoeмoв югa Зaпaднoй Cибиpи). Water Chem Ecol 5(71):60–67 (in Russian)

    Google Scholar 

  • Zelinka M, Marvan P (1961) Zur Präzisierung der biologischen Klassifikation der Reinheit flieβender Gewässer. Arch Hydrobiol 57:389–407

    Google Scholar 

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Correspondence to Nadezhda Yermolaeva .

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Appendix: Photographs of Some Water Bodies Sampled

Appendix: Photographs of Some Water Bodies Sampled

(see that Figs. 2, 3, 4, 5, 6 and 7)

Fig. 2
figure 2

Lake Teletskoye is located in the north-east of the Altai Mountains. It is a unique natural complex of our planet. It is one of the deepest lakes in Russia, ranking second in Russia’s natural freshwater supply. In 1998 Lake Teletskoye was included in the list of UNESCO World Heritage sites. It is an oligosaprobic lake (Photo courtesy of Evgenia Zarubina)

Fig. 3
figure 3

Katun’ is the largest river of the Altai Mountains. The Katun’ originates in the glacier on the Southern slopes of Belukha Mountain. Flowing together with Biya, the Katun’ forms the Ob River, one of the largest in Siberia. In terms of water quality, the Katun’ river is mainly o-β-mesosaprobic (Photo courtesy of Evgenia Zarubina)

Fig. 4
figure 4

Abushkan (a) and Bolshoy Kurgan (b) are lakes of the Ob-Irtysh interfluve (Barabinskaya steppe). They are small saucer-shaped lakes with depths up to 3–4 m. In terms of water quality these lakes are from o-β-mesosaprobic to α-mesosaprobic

Fig. 5
figure 5figure 5

Small lowland rivers: the Kargat river (a) and Chulym river (b). They are rivers of the closed flow region of the Ob-Irtysh interfluve. These rivers serve as the main source of Lake Chany’s water supply. In terms of water quality these rivers are mainly β-mesosaprobic

Fig. 6
figure 6

Fadikha is a running-water lake in the lower stream of the Chulym river. In terms of water quality it is β-mesosaprobic

Fig. 7
figure 7

The Novosibirsk reservoir is located on the Ob River in the South of Western Siberia. Length of the reservoir: 220 km. Water area: 1082 km2. Maximum depth: 25 m. Quality of the water: β-mesosaprobic

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Yermolaeva, N., Dvurechenskaya, S. (2016). Developing the Regional Indicator Indexes of Zooplankton for Water Quality Class Determination of Water Bodies in Siberia. In: Mueller, L., Sheudshen, A., Eulenstein, F. (eds) Novel Methods for Monitoring and Managing Land and Water Resources in Siberia. Springer Water. Springer, Cham. https://doi.org/10.1007/978-3-319-24409-9_5

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