4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Detection and Prediction of Toxic Aluminum Concentrations in High‐Priority Salmon Rivers in Nova Scotia

      research-article

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Elevated concentrations of toxic cationic aluminum (Al i) 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 Al i dynamics in freshwater remain poorly understood. Previous analysis of Al i 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 Al i 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 Al i status of Nova Scotia rivers in 17 years; we measured Al i concentrations and other water chemistry parameters at 150 sites throughout the Southern Uplands region of Nova Scotia from 2015 to 2022. We found that Al i concentrations exceeded toxic thresholds at least once during the study period at 80% of the study sites and that Al i concentrations increased during the study period at all four large‐sample study sites. Modeling of relationships between Al i concentrations and other water chemistry parameters showed that the most important predictors of Al i 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 Al i concentrations from a test data set within 15 μg/L. This model may be a valuable tool to predict Al i concentrations in rivers and to prioritize areas where Al i should be monitored. Environ Toxicol Chem 2024;43:2545–2556. © 2024 The Author(s). Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

          Related collections

          Most cited references65

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Welcome to the Tidyverse

            • Record: found
            • Abstract: not found
            • Article: not found

            brms: An R Package for Bayesian Multilevel Models Using Stan

              • Record: found
              • Abstract: not found
              • Article: not found

              Advanced Bayesian Multilevel Modeling with the R Package brms

                Author and article information

                Contributors
                shannon.sterling@dal.ca
                Journal
                Environ Toxicol Chem
                Environ Toxicol Chem
                10.1002/(ISSN)1552-8618
                ETC
                Environmental Toxicology and Chemistry
                John Wiley and Sons Inc. (Hoboken )
                0730-7268
                1552-8618
                01 October 2024
                December 2024
                : 43
                : 12 ( doiID: 10.1002/etc.v43.12 )
                : 2545-2556
                Affiliations
                [ 1 ] Hydrology and Climate Change Research Group, Department of Earth and Environmental Sciences Dalhousie University Halifax Nova Scotia Canada
                [ 2 ] Department of Civil and Resource Engineering, Centre for Water Resources Studies Dalhousie University Halifax Nova Scotia Canada
                [ 3 ] Nova Scotia Salmon Association Bedford Nova Scotia Canada
                Author notes
                [*] [* ]Address correspondence to shannon.sterling@ 123456dal.ca

                Author information
                http://orcid.org/0000-0002-5816-6244
                Article
                ETC5997
                10.1002/etc.5997
                11619745
                39352312
                1de8ba86-bd89-4b84-8eca-d7262c621fd9
                © 2024 The Author(s). Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 July 2024
                : 10 November 2023
                : 27 July 2024
                Page count
                Figures: 6, Tables: 5, Pages: 12, Words: 8452
                Funding
                Funded by: Natural Sciences and Engineering Research Council of Canada , doi 10.13039/501100000038;
                Award ID: Discovery Grant
                Award ID: (NSERC)RGPIN06958‐19
                Funded by: Fondation Pour La Conservation Du Saumon Atlantique
                Funded by: Fisheries and Oceans Canada , doi 10.13039/501100000041;
                Award ID: Canada Nature Fund
                Award ID: 2019‐NF‐MAR‐010A
                Categories
                Environmental Chemistry
                Environmental Chemistry
                Custom metadata
                2.0
                December 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.5.1 mode:remove_FC converted:05.12.2024

                Environmental chemistry
                atlantic salmon,environmental chemistry,environmental modeling,inorganic aluminum,metal speciation,metal toxicity,water quality

                Comments

                Comment on this article

                Related Documents Log