Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP190101848
Funding Status
Active
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Funded Activity Summary
Next-generation models to predict cyanobacteria harmful algal blooms. This project aims to address the need for improved predictions of cyanobacteria (blue-green algae) harmful algal blooms. Accurate predictions of blooms with computer models are important to support management strategies to prevent their occurrence. This project is expected to generate new knowledge of strain-level variation in cyanobacteria that leads to toxic blooms. This project will lead to new knowledge of the significance of strain-level variation in cyanobacteria harmful algal blooms, how strains influence toxin production and models for prediction of bloom and toxins. The project will generate significant benefits for water security for the purposes human consumption and recreation, and ecosystem health.Funded Activity Details
Start Date: 04-2019
End Date: 04-2023
Funding Scheme: Discovery Projects
Funding Amount: $475,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Water Quality Engineering | Ecology | Population, Ecological and Evolutionary Genetics | Freshwater Ecology
ANZSRC Socio-Economic Objective (SEO)
Ecosystem Assessment and Management of Fresh, Ground and Surface Water Environments | Water Services and Utilities | Fresh, Ground and Surface Water Flora, Fauna and Biodiversity |
