Increased urea is one of the common nitrogen forms polluting coastal waters and affecting nutrient dynamics. To investigate the effects of urea on sediment phosphorus (P) release, we carried out a 2-month mesocosm experiment with six targeted loadings of urea (0-0.6 mg N L d). Results showed that: i) urea was rapidly transformed into ammonium and then nitrate (NO). ii) When nitrogen occurred as urea or ammonium, minor P release was observed. iii) After urea were mostly converted to NO, P release became clearer. iv) NO had a dual effect by promoting P release through decreasing sediment pH and increasing alkaline phosphatase activity or by inhibiting P release through improving sediment oxidation. v) The overall effects of urea on P release depended on the ultimate NO concentrations, being prominent when NO ≥ 11 mg N L. Our findings are of relevance when determining nitrogen reduction targets needed for combating eutrophication.
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http://dx.doi.org/10.1016/j.marpolbul.2021.113203 | DOI Listing |
Environ Res
January 2025
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.
Estuarine ecosystems have been threatened by increasing anthropogenic and natural pressures, yet the integral understanding of their stability characteristics of microbial communities at taxonomic, habitat, and spatial scales remains limited. In this study, the Mulan River estuary in southeastern China was selected to compare the stability characteristics of bacterial and protistan communities in water and sediments over three hydrological periods, and to explore their spatial variations along the estuarine continuum from river to ocean. The potential driving mechanisms of stability characteristics were also explored.
View Article and Find Full Text PDFSci Total Environ
January 2025
School of Earth and Environmental Sciences, Seoul National University, Seoul 08826, Republic of Korea; Research Institute of Oceanography, Seoul National University, Seoul 08826, Republic of Korea; Center for Convergence Coastal Research, Seoul National University, Siheung-si, Gyeonggi-do 15011, Republic of Korea. Electronic address:
The ecosystem regulating services from tidal flats, such as removal of organic pollutants, provided by natural tidal flats are being increasingly recognized, yet quantitative evaluation remains limited. Here we evaluated a nationwide capacity of natural purification in tidal flats. Using in situ sediments from five along the Korean coast (Incheon, Gunsan, Sinan, Gwangyang, and Busan), we applied a mesocosm system informed by 18 years of riverine monitoring data from national surveys.
View Article and Find Full Text PDFGlufosinate (GLUF) and glyphosate (GLY) are nonselective phosphorus-containing amino acid herbicides that are widely used in agricultural gardens and noncultivated areas. These herbicides give rise to a number of key metabolites, with 3-methyl phosphinicopropionic acid (MPPA), -acetyl glufosinate (-acetyl GLUF), aminomethyl phosphonic acid (AMPA), -acetyl aminomethyl phosphonic acid (-acetyl AMPA), -acetyl glyphosate (-acetyl GLY), -methyl glyphosate (-methyl GLY) as the major metabolites obtained from GLUF and GLY. Extensive use of these herbicides may lead to their increased presence in the environment, especially aquatic ecosystems.
View Article and Find Full Text PDFEnviron Res
January 2025
Humboldt-Universität zu Berlin, Institute of Biology, Ecology, 10115, Berlin, Germany.
Microbial communities, which are crucial for ecosystem function and sustainability, are under environmental pressure. Using phospholipid fatty acids (PLFAs) as a measure of microbial biomass and community structure, the responses of microorganisms to environmental drivers were studied in bank soil and sediment alongside the Yangtze River in China. Thirty-eight sites were investigated over a length of 5500 kilometers, ranging from the plateau to the estuary.
View Article and Find Full Text PDFSci Total Environ
January 2025
Office of Research and Development, United States Environmental Protection Agency, Athens, GA, USA.
Estimating constituent loads in streams and rivers is a crucial but challenging task due to low-frequency sampling in most watersheds. While predictive modeling can augment sparsely sampled water quality data, it can be challenging due to the complex and multifaceted interactions between several sub-watershed eco-hydrological processes. Traditional water quality prediction models, typically calibrated for individual sites, struggle to fully capture these interactions.
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