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Ecological river health assessments, based on fish ordination analysis of ecological indicator entities and the biological integrity metrics, responding to the chemical water pollution.
Jargal, Namsrai; Kim, Jeong-Eun; Ariunbold, Bilguun; An, Kwang-Guk.
Affiliation
  • Jargal N; Department of Bioscience and Biotechnology, Chungnam National University, Daejeon, 34134, Republic of Korea.
  • Kim JE; Department of Bioscience and Biotechnology, Chungnam National University, Daejeon, 34134, Republic of Korea.
  • Ariunbold B; Ecological Research Division, Korea National Park Research Institute, Wonju, 26411, Republic of Korea.
  • An KG; Department of Bioscience and Biotechnology, Chungnam National University, Daejeon, 34134, Republic of Korea.
Environ Sci Pollut Res Int ; 31(19): 28306-28320, 2024 Apr.
Article in En | MEDLINE | ID: mdl-38536572
ABSTRACT
Evaluation of the ecological health of rivers requires a focused examination of how biological indicators respond to chemical stressors to offer key insights for effective conservation strategies. We examined the influence of stressors on aquatic ecosystems by analyzing various ecological entities and biotic integrity metrics of fish communities. A nonmetric multidimensional scaling (NMDS) approach was applied to determine scores based on 19 fish ecological entities (FEs) and a fish-based multi-metric index of biotic integrity (mIBI-F). The composition of fish communities in reference clusters differed from the disturbed clusters due to instream chemical stressors. These chemical stressors, including high levels of nutrients, organic matter, and ionic/suspended solids, were linked to variation in the key indicator FEs, whose guild identities were closely associated with instream chemical degradation. The scores of FEs (abundance weighted) and mIBI-F metrics in the first NMDS axis (NMDS1) were significantly linked with chemical health indicators (p < 0.001), such as total phosphorus (R2 = 0.67 and 0.47), electrical conductivity (R2 = 0.59 and 0.49), and chlorophyll-a (R2 = 0.48 and 0.25). These NMDS1 scores showed better accuracy than the conventional mIBI-F score in capturing river ecological health linked with chemical health status as determined by a multi-metric index of water pollution. Our study suggests that based on the ordination approach, the biological integrity of these systems reflected the chemical health.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Environmental Monitoring / Rivers / Fishes Limits: Animals Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2024 Document type: Article Country of publication: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Environmental Monitoring / Rivers / Fishes Limits: Animals Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2024 Document type: Article Country of publication: Germany