Research Grant
[Cite as https://purl.org/au-research/grants/arc/IN190100044]Researchers: Dr Dane Lamb (Chief Investigator) , Liang Wang (Chief Investigator) , Suzie Reichman (Chief Investigator) , Stephen McGrath (Partner Investigator)
Brief description Developing a predictive toxicity model for metallic anions in plants. This project aims to develop competitive anionic toxicity models for antimony, arsenic, molybdenum and selenium supported by detailed speciation information. Available ecotoxicological models for inorganic toxicants have exclusively focused on cations such as zinc, and ignored anionic toxicants such as arsenic and antimony. For available models on cations to be applicable to contaminated environments, it is essential for equivalent anionic toxicity models be developed. This project will develop the first such model, which will provide new insights on ecotoxicological modelling for inorganic anionic toxicants. The project will transform ecotoxicological modelling approaches for metals and metalloids in terrestrial systems and directly improve our ability to assess risks associated with environmental contamination.
Funding Amount $496,166
Funding Scheme Discovery Indigenous
- PURL : https://purl.org/au-research/grants/arc/IN190100044
- ARC : IN190100044