Supporting Information: Bioavailability and toxicity models of copper to freshwater life: the state of the science and alternatives for water quality criteria
Creators: name: Mebane, Christopher
Publisher: name: figshare
Year: 2022
Subjects: Toxicology

description: The interpreted data and calculation tools made available here support the figures and analyses presented in the manuscript of the same title. The datasets include: <strong>SI-1.</strong> Detailed toxicity test data: This sheet contains summary records for toxicity test results with waterborne copper (Cu) with multiple species and endpoints from tests that were relied upon in the graphs and other analyses presented in the referenced manuscript. All the tests had sufficient information reported to enable calculation of the multiple linear regression (MLR) model outputs that were developed by Brix et al. (2017; 2021). Selected tests also needed to have been from studies that conducted tests across different water types, allowing evaluation of MLR toxicity predictions. When available, also presented are data necessary to calculate the USEPA (2007) aquatic life criteria using an acute copper biotic ligand model (Santore and Croteau 2017). The columns are organized so that they can easily be copied and pasted into MLR and biotic ligand model (BLM) input fields, and thus some columns are duplicated. <strong>SI-2. </strong>Species and genus sensitivity rankings and detailed calculation of MLR-based acute and chronic criteria. SI-3. Ambient Cu, dissolved organic carbon (DOC), and pH data from surface waters in California obtained from the “Water Quality Portal” (waterqualitydata.us), the vast majority of which are from U.S. Geological Survey monitoring. <strong>SI-4.</strong> Ambient Cu, dissolved organic carbon (DOC), and pH data from surface waters in California obtained from the California Environmental Data Exchange Network (ceden.org) which are from multiple original sources. <strong>SI-5.</strong> Time-series data from six California streams, with matched “BLM parameters (temperature, pH, DOC, calcium, magnesium, sodium, chloride, sulfate, and alkalinity For more information about specific data, please consult the primary sources. <strong>References</strong> Brix, K.V., D.K. DeForest, L.M. Tear, M. Grosell, and W.J. Adams. 2017. Use of multiple linear regression models for setting water quality criteria for copper: A complementary approach to the Biotic Ligand Model. <em>Environmental Science &amp; Technology</em>. 51(9): 5182–5192. <sub>https://doi.org/10.1021/acs.est.6b05533</sub> Brix, K.V., L. Tear, R.C. Santore, K. Croteau, and D.K. DeForest. 2021. Comparative performance of multiple linear regression and biotic ligand models for estimating the bioavailability of copper in freshwater. <em>Environmental Toxicology and Chemistry</em>. 40(6): 1649-1661. <sub>https://doi.org/10.1002/etc.5012</sub> Santore, R.C. and K. Croteau. 2017. Biotic Ligand Model Windows Interface, Research Version 3.1.2.41 (November 2017): User’s Guide and Reference Manual. Windward Environmental, LLC, Syracuse, NY. 46 pp. <sub>http://www.windwardenv.com/biotic-ligand-model</sub> [Accessed May 2018]. USEPA. 2007. Aquatic life ambient freshwater quality criteria - copper, 2007 revision. U.S. Environmental Protection Agency, EPA-822-R-07-001 (March 2, 2007), Washington, DC. 208 pp. [Accessed 30 March 2008].