The ultraphytoplankton composition and dynamics were assessed during a Saharan dust event occurring off the southern Tunisian coasts during the MERITE-HIPPOCAMPE Trans-Mediterranean oceanographic cruise. The composition of atmospheric dust was characterized in terms of nutriments and trace metals. Data-assimilative hydrodynamic model revealed no differences in the hydrological features along the sampling track and almost no water transport occurred during the period of atmospheric deposition. Dust deposition increased the growth rates and the productivity of the major phytoplanktonic cytometric groups, resulting in the highest surface biomass along the Mediterranean transect. One group, distinguished by low fluorescence and nanoplanktonic size, reacted to dust deposition within hours, exhibiting the highest growth rate and net productivity. The dust composition showed a substantial enrichment with organic phosphorous representing (56 % of Total phosphorus) and trace metals mainly Fe, Mn and V.
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http://dx.doi.org/10.1016/j.marpolbul.2024.116059 | DOI Listing |
Glob Chang Biol
December 2024
Stockbridge School of Agriculture, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Anthropogenic nitrogen (N) deposition is unequally distributed across space and time, with inputs to terrestrial ecosystems impacted by industry regulations and variations in human activity. Soil carbon (C) content normally controls the fraction of mineralized N that is nitrified (ƒ), affecting N bioavailability for plants and microbes. However, it is unknown whether N deposition has modified the relationships among soil C, net N mineralization, and net nitrification.
View Article and Find Full Text PDFJ Environ Radioact
December 2024
Belgian Nuclear Research Centre (SCK CEN), Boeretang 200, 2400, Mol, Belgium.
A soil-vegetation-atmospheric transfer (SVAT) model for radon and its progeny is presented to improve process-level understanding of the role of forests in taking-up radionuclides from soil radon outgassing. A dynamic system of differential equations couples soil, tree (Scots pine) and atmospheric processes, treating the trees as sources, sinks and conduits between the atmosphere and the soil. The model's compartments include a dual-layer soil column undergoing hydrological and solute transport, the tree system (comprising roots, wood, litter, and foliage) and the atmosphere, with physical processes governing the transfers of water and radon products between these compartments.
View Article and Find Full Text PDFInorg Chem
December 2024
Laboratory of Complex Heterostructures and Multifunctional Materials, National Institute of Materials Physics, Atomistilor 405A, Magurele 077125, Romania.
CuZnSnSe (CZTSe) is a promising material for thin-film solar cells due to its suitable band gap, high absorption coefficient, and composition of earth-abundant and nontoxic elements. In this study, we prepared CZTSe thin films from Cu/SnSe and ZnSe stacks using a two-step annealing process. Initially, Cu-Sn-Se (CTSe) films were synthesized by sequential deposition and annealing of Cu and SnSe precursors in either a selenium (Se) or tin-selenium (Sn+Se) atmosphere.
View Article and Find Full Text PDFEnviron Sci Technol
December 2024
Key Laboratory of Global Change and Marine Atmospheric Chemistry, MNR, Xiamen 361001, China.
Accurately assessing the dry deposition fluxes of inorganic nitrogen aerosol (aerosol-IN) is crucial for mitigating the ecological damage caused by excessive nitrogen in oceanic equilibria. We developed a dry deposition model to assess the dry deposition fluxes of aerosol-IN into Chinese offshore areas over a decade, with the range of 2.81 × 10-1.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
Shaanxi Environmental Monitoring Center, Xi'an 710006, China.
To identify the spatial distribution patterns and assess the ecological risks associated with soil heavy metal pollution in the southern region of Hunan Province, a total of 362 surface soil samples were collected from the studied area. This study employed multivariate statistics and geographic information systems (GIS) to investigate the spatial distribution pattern of soil metals (Cd, Hg, As, Pb, Zn, Ni, Mn, Tl, and Sb). Furthermore, the pollution sources and source-specific ecological risk of heavy metals were quantified by combining the positive matrix factorization (PMF) model and the comprehensive ecological risk index model.
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