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Detection and Prediction of Toxic Aluminum Concentrations in High-Priority Salmon Rivers in Nova Scotia.
Hart, Kristin A; Trueman, Benjamin; Halfyard, Edmund A; Sterling, Shannon M.
Afiliación
  • Hart KA; Hydrology and Climate Change Research Group, Department of Earth and Environmental Sciences, Dalhousie University, Halifax, Nova Scotia, Canada.
  • Trueman B; Department of Civil and Resource Engineering, Centre for Water Resources Studies, Dalhousie University, Halifax, Nova Scotia, Canada.
  • Halfyard EA; Nova Scotia Salmon Association, Bedford, Nova Scotia, Canada.
  • Sterling SM; Hydrology and Climate Change Research Group, Department of Earth and Environmental Sciences, Dalhousie University, Halifax, Nova Scotia, Canada.
Environ Toxicol Chem ; 2024 Oct 01.
Article en En | MEDLINE | ID: mdl-39352312
ABSTRACT
Elevated concentrations of toxic cationic aluminum (Ali) are symptomatic of terrestrial and freshwater acidification and are particularly toxic to salmonid fish species such as Atlantic salmon (Salmo salar). Speciated metal samples are rarely included in standard water monitoring protocols, and therefore the processes affecting Ali dynamics in freshwater remain poorly understood. Previous analysis of Ali concentrations in Nova Scotia (Canada) rivers found that the majority of study rivers had concentrations exceeding the threshold for aquatic health, but a wide-scale survey of Ali in Nova Scotia has not taken place since 2006 (Dennis, I. F., & Clair, T. A., 2012, Canadian Journal of Fisheries and Aquatic Sciences, 69(7), 1174-1183). The observed levels of dissolved aluminum in Atlantic salmon (Salmo salar) rivers of Atlantic Canada have potential serious and harmful effects for aquatic populations. We present the findings of the first large-scale assessment of the Ali status of Nova Scotia rivers in 17 years; we measured Ali concentrations and other water chemistry parameters at 150 sites throughout the Southern Uplands region of Nova Scotia from 2015 to 2022. We found that Ali concentrations exceeded toxic thresholds at least once during the study period at 80% of the study sites and that Ali concentrations increased during the study period at all four large-sample study sites. Modeling of relationships between Ali concentrations and other water chemistry parameters showed that the most important predictors of Ali are concentrations of the dissolved fractions of Al, iron, titanium, and calcium, as well as dissolved organic carbon and fluoride. We developed a fully Bayesian linear mixed model to predict Ali concentrations from a test data set within 15 µg/L. This model may be a valuable tool to predict Ali concentrations in rivers and to prioritize areas where Ali should be monitored. Environ Toxicol Chem 2024;001-12. © 2024 The Author(s). Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Environ Toxicol Chem Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Environ Toxicol Chem Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos