Mining and urbanization affect river chemical water quality and macroinvertebrate communities in the upper Selenga River basin, Mongolia (revised version)
- 1Department of Biology, National University of Mongolia, Ulaanbaatar, Mongolia.
- 2Department of Environmental and Forest Engineering, National University of Mongolia, Ulaanbaatar, Mongolia.
- 3College of Environmental Studies, National Dong Hwa University, Shoufeng, Taiwan.
- 4Department of Aquatic Ecosystem Analysis and Management (ASAM), Helmholtz Centre for Environmental Research-UFZ, Magdeburg, Germany.
- 5ADAPT Project, Ulaanbaatar, Mongolia.
- 6Department of Botany, Senckenberg Museum of Natural History Görlitz, Görlitz, Germany.
- 7Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan.
- 8Department of Biogeography, University of Bayreuth, Universitätsstraße 30, 95447, Bayreuth, Germany. martin.pfeiffer@uni-bayreuth.de.
- 0Department of Biology, National University of Mongolia, Ulaanbaatar, Mongolia.
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Summary
This summary is machine-generated.Mongolia
Area Of Science
- Environmental Science
- Ecology
- Water Quality Assessment
Background
- Mongolia's economy relies heavily on mining, leading to significant water quality impacts in the Selenga River basin.
- Previous pollution studies were limited to chemical analyses, lacking biological indicators.
- Aquatic invertebrate communities are understudied in relation to pollution in Mongolia.
Purpose Of The Study
- To integrate biomonitoring with water quality data for a comprehensive assessment of pollution in Mongolian rivers.
- To evaluate the effectiveness of aquatic invertebrates as bioindicators of water quality.
- To identify key environmental factors influencing macroinvertebrate communities.
Main Methods
- Collected water samples, environmental data, and macroinvertebrates from 36 sites across the Tuul, Kharaa, and Orkhon river systems.
- Utilized Principal Component Analysis (PCA) to categorize water quality based on pollutant types (nutrients, salt ions, metals).
- Employed Redundancy Analysis (RDA) to determine relationships between environmental factors and macroinvertebrate community structure.
Main Results
- Three distinct pollutant groups were identified: nutrients, salt ions/mining by-products, and heavy metals, with metals frequently exceeding standards.
- Macroinvertebrate species diversity decreased significantly with increasing pollution impact.
- Macroinvertebrate composition was structured by elevation, total nitrogen, dissolved oxygen, electrical conductivity, and water chemistry.
Conclusions
- Aquatic macroinvertebrates are effective and cost-efficient bioindicators for monitoring water quality in Mongolia.
- The study highlights the need for integrated chemical and biological monitoring programs.
- Recommendations include establishing a long-term water quality monitoring program by the Mongolian government.
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