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This study investigated seasonal variations in spatial distribution, mobilization kinetic and toxicity risk of arsenic (As) in sediments of three representative ecological lakes in Lake Taihu. Results suggested that the bioavailability and mobility of As in sediments depended on the lake ecological types and seasonal changes. At the algal-type zones and macrophyte-type zones, elevated As concentrations were observed in April and July, while these occurred at the transition areas in July and October. The diffusion flux of soluble As ranged from 0.03 to 3.03 ng/cm/d, indicating sediments acted as a source of As. Reductive dissolution of As-bearing iron/manganese-oxides was the key driver of sediment As remobilization. However, labile S(-II) caused by the degradations of algae and macrophytes buffered sediment As release at the algal-type and macrophyte-type zones. Furthermore, the resupply ratio was less than 1 at three ecological lakes, indicating the resupply As capacity of sediment solid phase was partially sustained case. The risk quotient values were higher than 1 at the algal-type zones and transition areas in July, thereby, the adverse effects of As should not be ignored. This suggested that it is urgently need to be specifically monitored and managed for As contamination in sediments across multi-ecological lakes.
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http://dx.doi.org/10.1016/j.jhazmat.2023.132852 | DOI Listing |
Mol Biol Rep
September 2025
Department of Biosciences, Integral University, Kursi Road, Lucknow, 226026, India.
Background: The river ecosystems provide habitats and source of water for a number of species including humans. The uncontrolled accumulation of pollutants in the aquatic environment enhances the development of antibiotic-resistant bacteria and genes.
Methods: Water samples were collected seasonally from different sites of Gomti and Ganga River.
Bull Math Biol
September 2025
Department of Mathematics, Siena University, 515 Loudon Road, Loudonville, NY, 12211, USA.
Autonomous differential equation compartmental models hold broad utility in epidemiology and public health. However, these models typically cannot account explicitly for myriad factors that affect the trajectory of infectious diseases, with seasonal variations in host behavior and environmental conditions as noteworthy examples. Fortunately, using non-autonomous differential equation compartmental models can mitigate some of these deficiencies, as the inclusion of time-varying parameters can account for temporally varying factors.
View Article and Find Full Text PDFEcology
September 2025
Smithsonian's National Zoo and Conservation Biology Institute, Front Royal, Virginia, USA.
The Earth's grasslands have experienced extensive alterations to their grazing regimes over the course of human history. We asked how native grassland herbivores (bison, prairie dogs, and grasshoppers) and a non-native herbivore that has become dominant (cattle) affect seasonal patterns of plant and soil elemental chemistry and aboveground plant biomass in a shortgrass prairie in the North American Northern Great Plains. To quantify herbivore effects, we sampled plants and soils across 4 months of the growing season in 15 grassland sites comprising five herbivore regimes with varying densities of bison, cattle, prairie dogs, and grasshoppers.
View Article and Find Full Text PDFVet World
July 2025
Department of Geography, University College London, United Kingdom.
Background And Aim: Hospital effluents are a major source of environmental contaminants, harboring pathogenic bacteria, toxic trace metals, and high organic loads. This study aimed to evaluate the bacteriological and physicochemical profiles of wastewater discharged from three coastal hospitals in Oran, Algeria, and to assess the associated public and livestock health risks under the One Health approach.
Materials And Methods: A cross-sectional study was conducted from January 2023 to February 2024, involving monthly sampling at three hospitals and one drainage collector.
Vet World
July 2025
Department of Animal Husbandry, Ruminant Animals and Animal Products Technologies, Faculty of Agriculture, Trakia University, 6000, Bulgaria.
Background And Aim: Rising global temperatures and increasing humidity levels are intensifying the risk of heat stress (HS) in high-yielding dairy cattle. The temperature-humidity index (THI) is a standard metric for evaluating thermal stress in livestock. This study aimed to assess seasonal and diurnal variations in temperature, relative humidity, and THI within a milking parlor and determine their compliance with established thermal comfort thresholds for dairy cows.
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