A modelling framework to assess multiple metals impacts on marine food webs: relevance for assessing the ecological implications of deep-sea mining based on a …

I Martins, A Guerra, A Azevedo, O Harasse… - Marine Pollution …, 2023 - Elsevier
Industrial deep-sea mining will release plumes containing metals that may disperse over
long distances; however, there is no general understanding of metal effects on marine …

Updating the chronic freshwater ecotoxicity database and biotic ligand model for nickel for regulatory applications in Europe

A Peters, C Nys, D Leverett, I Wilson… - Environmental …, 2023 - Wiley Online Library
Bioavailability has been taken into account in the regulation of nickel in freshwater
ecosystems in Europe for over a decade; during that time a significant amount of new …

An often-overestimated ecological risk of copper in Chinese surface water: bioavailable fraction determined by multiple linear regression of water quality parameters

W Liao, Y Zheng, C Feng, W Zhong, Z Zhu… - Environmental Sciences …, 2023 - Springer
Background Risks of adverse ecological effects of copper (Cu) consider of water quality
parameters were not fully understood in China. Here, a national-scale exposure of Cu in …

Application of bioavailability models to derive chronic guideline values for nickel in freshwaters of Australia and New Zealand

J Stauber, L Golding, A Peters… - Environmental …, 2021 - Wiley Online Library
There has been an increased emphasis on incorporating bioavailability‐based approaches
into freshwater guideline value derivations for metals in the Australian and New Zealand …

Comparison of multiple linear regression and biotic ligand models for predicting acute and chronic zinc toxicity to freshwater organisms

DK DeForest, AC Ryan, LM Tear… - … toxicology and chemistry, 2023 - Wiley Online Library
Multiple linear regression (MLR) models for predicting zinc (Zn) toxicity to freshwater
organisms were developed based on three toxicity‐modifying factors: dissolved organic …

Development and validation of multiple linear regression models for predicting chronic zinc toxicity to freshwater microalgae

GAV Price, JL Stauber, DF Jolley… - Environmental …, 2023 - Wiley Online Library
Multiple linear regression (MLR) models were developed for predicting chronic zinc toxicity
to a freshwater microalga, Chlorella sp., using three toxicity‐modifying factors (TMFs): pH …

Does toxicity test variability support bioavailability model predictions being within a factor of 2?

GAV Price, JL Stauber, S Stone, DJ Koppel… - Environmental …, 2022 - CSIRO Publishing
Environmental context Having appropriate and robust models used for developing water
quality guidelines is critical for sound environmental management. Methods used to validate …

Comparison of multiple linear regression and biotic ligand models to predict the toxicity of nickel to aquatic freshwater organisms

K Croteau, AC Ryan, R Santore… - Environmental …, 2021 - Wiley Online Library
Toxicity‐modifying factors can be modeled either empirically with linear regression models
or mechanistically, such as with the biotic ligand model (BLM). The primary factors affecting …

The influence of hardness at varying pH on zinc toxicity and lability to a freshwater microalga, Chlorella sp.

GAV Price, JL Stauber, A Holland, DJ Koppel… - … Science: Processes & …, 2022 - pubs.rsc.org
Zinc is an essential element for aquatic organisms, however, activities such as mining and
refining, as well as zinc's ubiquitous role in modern society can contribute to elevated …

Applicability of chronic multiple linear regression models for predicting zinc toxicity in Australian and New Zealand freshwaters

JL Stauber, J Gadd, GAV Price, A Evans… - Environmental …, 2023 - Wiley Online Library
Bioavailability models, for example, multiple linear regressions (MLRs) of water quality
parameters, are increasingly being used to develop bioavailability‐based water quality …