Contamination of fish populations with methylmercury is common in the region of the Laurentian Great Lakes as a result of atmospheric deposition and methylation of inorganic mercury. Using fish mercury monitoring data from natural resource agencies and information on tissue concentrations injurious to fish, we conducted a screening-level risk assessment of mercury to sexually mature female walleye (Sander vitreus), northern pike (Esox lucius), smallmouth bass (Micropterus dolomieu), and largemouth bass (Micropterus salmoides) in the Great Lakes and in interior lakes, impoundments, and rivers of the Great Lakes region. The assessment included more than 43,000 measurements of mercury in fish from more than 2000 locations. Sexually mature female fish that exceeded threshold-effect tissue concentrations of 0.20 μg g(-1) wet weight in the whole body occurred at 8% (largemouth bass) to 43% (walleye) of sites. Fish at 3% to 18% of sites were at risk of injury and exceeded 0.30 μg g(-1) where an alteration in reproduction or survival is predicted to occur. Most fish at increased risk were from interior lakes and impoundments. In the Great Lakes, no sites had sexually mature fish that exceeded threshold-effect concentrations. Results of this screening-level assessment indicate that fish at a substantive number of locations within the Great Lakes region are potentially at risk from methylmercury contamination and would benefit from reduction in mercury concentrations.
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http://dx.doi.org/10.1007/s10646-011-0712-3 | DOI Listing |
J Hazard Mater
January 2025
School of Figheries, Aquaculture, and Aquatic Sciences, College of Agriculture, Auburn University, AL 36849, USA. Electronic address:
Thirteen elements were measured in 76 surface grab sediment samples and 90 segments of four cores from Lakes Erie and Ontario. By combining the data obtained previously from Lakes Superior, Michigan, and Huron, the spatial distribution, temporal trends, major influencing factors, anthropogenic enrichments, categorization, and ecological risks of target metals in sediment were evaluated for the Great Lakes region. Regionwide, Lake Ontario had the highest median concentrations for Ag, As, Cd, Zn, and Pb, while the highest Cr concentration was found in the Western Basin of Lake Erie.
View Article and Find Full Text PDFBehav Anal Pract
December 2024
Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA.
Unlabelled: Collecting data and logging behaviors of clients who have autism spectrum disorder (ASD) during applied behavior analysis (ABA) therapy sessions can be challenging in real time, especially when the behaviors require a rapid response, like self-injury or aggression. Little information is available about the automation of data collection in ABA therapy, such as through machine learning (ML). Our survey of ABA therapists nationally revealed mixed levels of familiarity with ML and generally neutral responses to statements endorsing the benefits of ML.
View Article and Find Full Text PDFClin Infect Dis
January 2025
Veteran Affairs Portland Health Care System, Portland, OR, USA.
Background: Chronic hepatitis C virus (HCV) infection affects >1% of the U.S. population, higher among U.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Life and Allied Health Sciences, MS Ramiah University of Applied Sciences (RUAS), MSR Nagar, New BEL Road, Bangalore, 560054, India.
Background Breast cancer represents a significant public health concern in India, accounting for 28% of all cancer diagnoses and imposing a substantial economic burden. This study introduces a novel approach to forecasting the number of breast cancer cases (based on prevalence rates) and estimating the associated economic impact in India using the autoregressive integrated moving average (ARIMA) model. Methods Data on the prevalence of breast cancer in India from 2000 to 2021 were obtained from the Global Burden of Disease (GBD) database.
View Article and Find Full Text PDFJ Environ Qual
January 2025
Department of Soil Science, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Evaluating how weather, farm management, and soil conditions impact phosphorus (P) loss from agricultural sites is essential for improving our waterways in agricultural watersheds. In this study, rainfall characteristics, manure application timing, tillage, surface condition, and soil test phosphorus (STP) were analyzed to determine their effects on total phosphorus (TP) and dissolved phosphorus (DP) loss using 125 site-years of runoff data collected by the University of Wisconsin Discovery Farms and Discovery Farms Minnesota. Three linear mixed models (LMMs) were then used to evaluate the influence of those factors on TP and DP losses: (1) a model that included all runoff events, (2) manured sites only, and (3) precipitation events only.
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