Integrated ecological quality assessment of the sea area adjacent to the Yellow River estuary under multiple pollutants

Estuaries are increasingly threatened by pollutants derived from human activities, which severely impair their water quality, biodiversity, and ecological functions. Therefore, within this context, it is essential to conduct comprehensive and scientifically rigorous assessments of estuarine ecological quality. Taking the Yellow River estuary as a case study, a composite index was here developed to evaluate the impacts of eutrophication and heavy metal pollution on estuarine ecological quality. The Trix eutrophication index and potential ecological risk index revealed significant risks of eutrophication and heavy metal pollution. Redundancy analysis identified that nutrients (NO 2 -N and NO 3 -N) and heavy metals (Cd, Hg, and Cr) were the primary pollutants affecting the composition of dominant macrofauna. Threshold Indicator Taxa Analysis was used to identify indicator species for these pollutants and, based on them, bioindicators capable of reflecting eutrophication and heavy metal pollution levels were then determined. A composite index integrating these bioindicators with other biotic indexes was constructed for comprehensive ecological quality assessment. The results showed that the ecological quality of the estuary was good, with values being even lower in the nearshore area. Structural equation modeling confirmed that estuarine ecological quality was significantly influenced, both directly and indirectly, by multiple pollutants, validating the effectiveness of the composite index as an analytical tool. We argue that integrating bioindicators of major pollutants with other benthic indexes into the developed composite index allows to effectively assess the effects of multiple pollutants on estuarine ecological quality and provide valuable insights for ecosystem management.

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Publication Details

Journal
Frontiers in Marine Science
Published
2025-02-26
DOI
https://doi.org/10.3389/fmars.2025.1542611
Citations
2
Primary Topic
Marine Biology and Ecology Research
Type
article
Field-Weighted Citation Impact
3.59
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article

Integrated ecological quality assessment of the sea area adjacent to the Yellow River estuary under multiple pollutants

Xin Gao, Hongjun Li, Jinqing Ye, Wen Li et al.
2 citations
Frontiers in Marine Science
Marine Biology and Ecology Research
3.59
article

Integrated ecological quality assessment of the sea area adjacent to the Yellow River estuary under multiple pollutants

Xin Gao, Hongjun Li, Jinqing Ye, Wen Li, Ying Li, Yunlei Zhang
article en
2 citations

Abstract

Estuaries are increasingly threatened by pollutants derived from human activities, which severely impair their water quality, biodiversity, and ecological functions. Therefore, within this context, it is essential to conduct comprehensive and scientifically rigorous assessments of estuarine ecological quality. Taking the Yellow River estuary as a case study, a composite index was here developed to evaluate the impacts of eutrophication and heavy metal pollution on estuarine ecological quality. The Trix eutrophication index and potential ecological risk index revealed significant risks of eutrophication and heavy metal pollution. Redundancy analysis identified that nutrients (NO 2 -N and NO 3 -N) and heavy metals (Cd, Hg, and Cr) were the primary pollutants affecting the composition of dominant macrofauna. Threshold Indicator Taxa Analysis was used to identify indicator species for these pollutants and, based on them, bioindicators capable of reflecting eutrophication and heavy metal pollution levels were then determined. A composite index integrating these bioindicators with other biotic indexes was constructed for comprehensive ecological quality assessment. The results showed that the ecological quality of the estuary was good, with values being even lower in the nearshore area. Structural equation modeling confirmed that estuarine ecological quality was significantly influenced, both directly and indirectly, by multiple pollutants, validating the effectiveness of the composite index as an analytical tool. We argue that integrating bioindicators of major pollutants with other benthic indexes into the developed composite index allows to effectively assess the effects of multiple pollutants on estuarine ecological quality and provide valuable insights for ecosystem management.

Frontiers in Marine ScienceVol. 12
China National Environmental Monitoring Center (CN), National Marine Environmental Monitoring Center, Shanghai Ocean University (CN)
Openalex Percentile: Top 10%
Marine Biology and Ecology Research
3.59
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