Ocean acidification and warming significantly affect coastal eutrophication and organic pollution: A case study in the Bohai Sea

Wei, Yuqiu; Ding, Dong; Gu, Ting; Xu, Yong; Sun, Xuemei; Qu, Kun; Sun, Jun; Cui, Zhengguo

doi:10.1016/j.marpolbul.2022.114380

Cited by 12 publications

(5 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results show that COD, DIN (p < 0.05), and DIP (p < 0.05) showed a significant positive correlation. In addition, it can be concluded that in the relationship discussed in this paper, COD, DIN, and DIP all increase with the increase of nitrogen content in the environment and decrease with the increase of salinity content [78,79]. All kinds of environmental factors are related to nutrients because water affects the reproduction rate of primary producers by changing the water temperature, salinity, and pH, and the number of primary producers determines the amount of nutrients.…”

Section: Key Environmental Factors Affecting Nutrients In Tieshan Baymentioning

confidence: 64%

Spatiotemporal Nutrient Patterns, Stoichiometry, and Eutrophication Assessment in the Tieshan Bay Coastal Water, China

Zhang

et al. 2023

JMSE

View full text Add to dashboard Cite

Land-source inputs into coastal water have increased remarkably in recent years, resulting in the deterioration of water quality, eutrophication, and algae blooms. However, we have limited understanding of spatiotemporal nutrient patterns, stoichiometry, and eutrophication assessment in Tieshan Bay coastal water at present. To investigate the rapid development of the coastal areas in Tieshan Bay in the South China Sea, nutrients and other physicochemical parameters were observed in Tieshan Bay during the normal season (April), wet season (July), and dry season (October) in 2021. The results showed that the average concentrations of dissolved inorganic nitrogen (DIN), dissolved inorganic phosphorus (DIP), and chemical oxygen demand (COD) in Tieshan Bay are 0.071 ± 0.115 mg/L, 0.008 ± 0.013 mg/L, and 0.71 ± 0.219 mg/L, respectively. DIN/DIP ratio ranges from 9.1–69.3, with an average value of 19.9 ± 19.2, which exceeds the Redfield value, behaving P limitations. In addition, the mean eutrophication index (EI) was low in Tieshan Bay, with an average value of 0.5 ± 1.5. Moreover, the hotspot coastal water with high DIN, DIP, and COD concentrations was located in the upper half of Tieshan Bay in all seasons. In addition to the DIN, DIP, and COD contributions to EI, the average contribution rates of DIN, DIP, and COD are 26.6%, 8.8%, and 64.6%, respectively, which leads to the largest contribution of COD to EI. Furthermore, the average comprehensive index (CI) of organic pollution in Tieshan Bay surface seawater ranged from −1 to 5.6. The seawater near Hepu in S8 station has organic pollution in wet and dry seasons, and Tieshan Bay’s middle region also has slight organic pollution. Additionally, the DIN, DIP, and COD had significant relationships with salinity (p < 0.05), suggesting that coastal water quality is affected by land-based sources input. To achieve the seawater quality target and mitigate regional eutrophication, it is critical to implement land-based source management across the river-bay-coastal water continuum.

show abstract

Section: Key Environmental Factors Affecting Nutrients In Tieshan Baymentioning

confidence: 64%

Spatiotemporal Nutrient Patterns, Stoichiometry, and Eutrophication Assessment in the Tieshan Bay Coastal Water, China

Zhang

et al. 2023

JMSE

View full text Add to dashboard Cite

show abstract

“…Harmful algal blooms have become one of the major marine disasters in the Bohai Sea [10]. Additionally, climate change and human activities have caused increased water temperature, sea-level rise, ocean acidification, and disruption of ecological balance, directly affecting the survival and reproductive capacity of marine organisms and having profound impacts on species distribution and migration patterns in the Bohai Sea [11,12].…”

Section: Introductionmentioning

confidence: 99%

Composition and Distribution of Microeukaryotic Communities in the Surface Sediments of Five Geographic Regions of Bohai Sea Based on 18S rDNA Amplicon Sequencing

Zhang,

Ge,

Song

et al. 2024

JMSE

View full text Add to dashboard Cite

The Bohai Sea is a semi-enclosed shallow water that is influenced by both natural and anthropogenic stressors. However, the microeukaryotic communities and environmental factors that affect them in different regions remain largely unclear. We investigated microeukaryotic communities in surface sediments from five geographic regions using high-throughput sequencing of the 18S rDNA gene. The Miaodao Archipelago, Yellow River Estuary, and Central Bohai Sea had the highest Shannon and Simpson indices of the eukaryotic communities, while the Yellow River Estuary exhibited the highest Chao1 index. The microeukaryotic communities in surface sediments were mainly composed of Dinoflagellata, Bacillariophyta, Ciliophora, Cercozoa, and Protalveolata. Thalassiosira has a relatively high abundance at the Liaodong Bay and Central Bohai Sea, possessing the proportion of 41.70% and 38.10%, respectively, while Gonyaulax was the most abundant taxa in the Bohai Bay, occupying a proportion of 57.77%. Moreover, a negative correlation between diatoms and dinoflagellates was observed. Phosphorus, nitrogen, salinity, temperature, and silicate were major environmental determinants of microeukaryotic composition. Microeukaryotic communities in the surface sediments, especially for the composition and ratio of diatoms to dinoflagellates, reflected the environmental quality of marine ecosystems. Overall, these microeukaryotic community compositions provide a reliable indicator for monitoring the level of marine eutrophication in the Bohai Sea.

show abstract

“…However, its strong presence in surface waters contributes to ecological scourges and the consequences are serious health risks [1,2]. In general, excessive organic matter in aquatic ecosystems generates an important quantity of nitrogenous and phosphorus nutrients, the main cause of eutrophication [3]. Excessive organic matter in these entities could be also an additional source of their metal pollution under some biogeochemical and physical conditions [1].…”

Section: Introductionmentioning

confidence: 99%

Untitled

2024

Sci. Lett.

View full text Add to dashboard Cite

This work aimed to study the modeling of the organic pollution of the waters of the Déganobo Lake system by three models: Multiple Linear Regression model (MLR model), Mutilayer Perceptron model (MLP model) and Multiple Linear Regression/ Mutilayer Perceptron hybrid model (MLR/MLP hybrid model). In its implementation, the chemical oxygen demand (COD) of these waters, obtained from August 2021 to July 2022, was used. Two approaches were done in the case of the modeling of their COD by the MLP model and the MLR/MLP hybrid model: static modeling and dynamic modeling. The results have highlighted the low predictions of the COD of these waters by the MLR model (36.2 %) and the MLP models (6-8-1 for the static modeling and 7-3-1 for the dynamic modeling, both predicting less than 35% of the experimental values with high error (RMSE upper than 1.30 and relative error upper than 0.750). However, the MLR/MLP hybrid models (MLR/6-3-1 for the static modeling and MLR/7-3-1 for the dynamic modeling) both well predicted the COD of these waters, around 99% with very low errors (RMSE less than 0.0001 and relative error less than 0.006 in both cases). So, the MLR/MLP hybrid model was the most efficient to predict the COD of these waters. The accuracy of this hybrid model for ecological modeling was again provided during this study.

show abstract

Ocean acidification and warming significantly affect coastal eutrophication and organic pollution: A case study in the Bohai Sea

Cited by 12 publications

References 58 publications

Spatiotemporal Nutrient Patterns, Stoichiometry, and Eutrophication Assessment in the Tieshan Bay Coastal Water, China

Spatiotemporal Nutrient Patterns, Stoichiometry, and Eutrophication Assessment in the Tieshan Bay Coastal Water, China

Composition and Distribution of Microeukaryotic Communities in the Surface Sediments of Five Geographic Regions of Bohai Sea Based on 18S rDNA Amplicon Sequencing

Untitled

Contact Info

Product

Resources

About