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Correlation between physical and chemical parameters of water and biotic indices: The case study the White Drin River basin, Kosovo

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EN
Abstrakty
EN
The major impacts on aquatic ecosystems worldwide caused by land use lead to changes in their natural conditions and limitation of water use for various needs. This paper presents the results of the study of the physical and chemical parameters and macroinvertebrate assemblage in the White Drin River (or: the Drim River, Alb. the Drini i Bardhë River) basin, the largest in Kosovo. Macroinvertebrate sampled at 11 sites in the river resulted in 5946 collected benthic organisms, which in taxonomic terms belong to 12 orders and 51 families. Of the total number of organisms, 72.28% were Insects, 25.39% Amphipoda crustaceans and 2.33% were Annelide worms and Mollusk. The used biotic indices Biological Monitoring Working Party (BMWP), Ephemeroptera, Plecoptera, and Trichoptera (EPT), average score per taxon (ASPT) and Stroud Water Research Center (SWRC) classify water quality in excellent category in the sampling site S1 near the source of the White Drin River, whereas in other sampling sites, as a result of pollution, water quality varies on category II–IV. The Pearson's correlation analyses shown that the physical and chemical parameters affect the water quality and the composition of macroinvertebrates. Our results show that the parameters that adversely affect the BMWP, EPT and ASPT biotic indices as well as the Shannon–Wiener, Mergalef and Menhinik diversity indices are: pH, electrical conductivity (EC), total suspended solids (TSS), nitrates (NO3) and chlorides (Cl). We can conclude that the anthropogenic impact on White Drin basin affects the physical, chemical and biological parameters of the water therefore these parameters should be constantly included in Biomonitoring and Management plans for water resources in Kosovo.
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Rocznik
Tom
Strony
229--241
Opis fizyczny
Bibliogr. 45 poz., rys., tab.
Twórcy
  • University of Prishtina, Faculty of Mathematics and Natural Sciences, Department of Biology, street George Bush, nn. 10000 Prishtina, Kosovo
  • University for Business and Technology, Faculty of Civil Engineering, Prishtina, Kosovo
  • University of Prishtina, Faculty of Mathematics and Natural Sciences, Department of Biology, street George Bush, nn. 10000 Prishtina, Kosovo
  • University of Prishtina, Faculty of Mathematics and Natural Sciences, Department of Biology, street George Bush, nn. 10000 Prishtina, Kosovo
  • University of Prishtina, Faculty of Mathematics and Natural Sciences, Department of Biology, street George Bush, nn. 10000 Prishtina, Kosovo
autor
  • Szent István University, Faculty of Economics and Social Sciences, Climate Change Economics Research Centre, Gödöllö, Hungary
  • University of Prishtina, Faculty of Mathematics and Natural Sciences, Department of Biology, street George Bush, nn. 10000 Prishtina, Kosovo
  • University for Business and Technology, Faculty of Agricultural Engineering and Environment, Prishtina, Kosovo
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b92db1d0-e42b-4144-b833-2de749586099
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