Applicability of Chronic Multiple Linear Regression Models for Predicting Zinc Toxicity in Australian and New Zealand Freshwaters

Author:

Stauber Jennifer L.12,Gadd Jennifer3,Price Gwilym A. V.14,Evans Anthony2,Holland Aleicia2,Albert Anathea3,Batley Graeme E.1,Binet Monique T.1ORCID,Golding Lisa A.1,Hickey Chris5,Harford Andrew6,Jolley Dianne7,Koppel Darren8,McKnight Kitty S.9ORCID,Morais Lucas G.2,Ryan Adam10,Thompson Karen3,Van Genderen Eric11,Van Dam Rick A.12,Warne Michael St. J.13

Affiliation:

1. Commonwealth Scientific and Industrial Research Organisation Environment Sydney New South Wales Australia

2. Science, Engineering and Technology La Trobe University Wodonga Victoria Australia

3. National Institute for Water Research Auckland New Zealand

4. Faculty of Science University of Technology Sydney New South Wales Australia

5. RMA Science Hamilton New Zealand

6. Environmental Institute of the Supervising Scientist Darwin Northern Territory Australia

7. Wollongong Resources Wollongong New South Wales Australia

8. Australian Institute of Marine Science Perth Western Australia Australia

9. School of Natural Science Macquarie University Sydney New South Wales Australia

10. International Zinc Association Syracuse New York USA

11. International Zinc Association San Francisco California USA

12. Water Quality Advice Adelaide SA Australia

13. Faculty of Science University of Queensland Brisbane Qld Australia

Abstract

AbstractBioavailability models, for example, multiple linear regressions (MLRs) of water quality parameters, are increasingly being used to develop bioavailability‐based water quality criteria for metals. However, models developed for the Northern Hemisphere cannot be adopted for Australia and New Zealand without first validating them against local species and local water chemistry characteristics. We investigated the applicability of zinc chronic bioavailability models to predict toxicity in a range of uncontaminated natural waters in Australia and New Zealand. Water chemistry data were compiled to guide a selection of waters with different zinc toxicity‐modifying factors. Predicted toxicities using several bioavailability models were compared with observed chronic toxicities for the green alga Raphidocelis subcapitata and the native cladocerans Ceriodaphnia cf. dubia and Daphnia thomsoni. The most sensitive species to zinc in five New Zealand freshwaters was R. subcapitata (72‐h growth rate), with toxicity ameliorated by high dissolved organic carbon (DOC) or low pH, and hardness having a minimal influence. Zinc toxicity to D. thomsoni (reproduction) was ameliorated by both high DOC and hardness in these same waters. No single trophic level–specific effect concentration, 10% (EC10) MLR was the best predictor of chronic toxicity to the cladocerans, and MLRs based on EC10 values both over‐ and under‐predicted zinc toxicity. The EC50 MLRs better predicted toxicities to both the Australian and New Zealand cladocerans to within a factor of 2 of the observed toxicities in most waters. These findings suggest that existing MLRs may be useful for normalizing local ecotoxicity data to derive water quality criteria for Australia and New Zealand. The final choice of models will depend on their predictive ability, level of protection, and ease of use. Environ Toxicol Chem 2023;00:1–16. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

Funder

International Zinc Association

Australian Research Council

Publisher

Wiley

Subject

Health, Toxicology and Mutagenesis,Environmental Chemistry

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