This study evaluated the physiological responses of four marine fish species (Lateolabrax japonicus, Sebastes schlegelii, Platichthys stellatus, and Paralichthys olivaceus) to suspended sediments (SS) generated by marine sand mining. Using oxygen consumption rate (OCR), osmolality, and mortality as endpoints, the effects of SS concentrations ranging from 0 to 10,000 mg L were assessed. L. japonicus exhibited the highest sensitive in OCR, with an EC50 of 15,812 mg L responding more rapidly to SS exposure. In contrast, S. schlegelii demonstrated the highest mortality, with an LC50 of 340,921 mg L. SS exposure caused diel variations in OCR across species, highlighting the necessity of accounting for such differences. Based on the results of this study and review, species sensitivity to SS is influenced by habitat type, activity patterns, and developmental stage, emphasizing the importance of incorporating species-specific traits to accurately evaluate the ecological impacts of SS on marine ecosystems.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.marpolbul.2025.117578 | DOI Listing |
Chemosphere
January 2025
GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstraße 1-3, 24148, Kiel, Germany; Christian-Albrechts University Kiel, Institute of Geosciences, Ludewig-Meyn-Str, 24118, Kiel, Germany.
Relic munitions from warfare and intentional dumping contaminate coastal waters worldwide, with an estimated 300,000 tons in the German Baltic Sea alone. These contain toxic conventional explosive chemicals, including 2,4,6-trinitrotoluene (TNT), 1,3,5-trinitro-1,3,5-triazinane (RDX), and 1,3-dinitrobenzene (DNB). Corrosion of metal munition housings in seawater releases these munition chemicals (MCs) to the marine environment.
View Article and Find Full Text PDFMar Pollut Bull
January 2025
School of Earth and Environmental Sciences & Research Institute of Oceanography, 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:
This study evaluated the physiological responses of four marine fish species (Lateolabrax japonicus, Sebastes schlegelii, Platichthys stellatus, and Paralichthys olivaceus) to suspended sediments (SS) generated by marine sand mining. Using oxygen consumption rate (OCR), osmolality, and mortality as endpoints, the effects of SS concentrations ranging from 0 to 10,000 mg L were assessed. L.
View Article and Find Full Text PDFEnviron Pollut
January 2025
Cardiff University, School of Engineering, Hydro-Environmental Research Centre, Cardiff, Wales, UK.
Microplastics (MPs) are ubiquitous in river and freshwater ecosystems. However, the hydraulic and hydrological mechanisms that regulate the activation and emissions of MPs from both the land surface and subsurface into rivers are not well understood. This study aims to quantify the instream MP concentration and MP load in a remote headwater catchment river (Taff Bargoed, Wales UK), which drains the UK's largest opencast coal mine (Ffos-y-fran), over a two-year period.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
Polish Academy of Sciences, Institute of Oceanology, Department of Marine Chemistry and Biochemistry, Powstańców Warszawy 55, Sopot 81-712, Poland.
Marine sediments are major sources of legacy pollution, capable of releasing toxic mercury (Hg) into the water column when disturbed. This study evaluated Hg remobilization from surface sediments during resuspension events by examining sediment properties, Hg concentrations, and speciation. Research was conducted in the southern Baltic Sea, representing diverse environmental conditions and human impacts.
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.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!