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 ....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.Read moreRead less
A paradigm shift for predictions of freshwater harmful cyanobacteria blooms. This project aims to advance model predictions to generate novel insights into the triggers of freshwater harmful cyanobacteria blooms. Current models are poorly adapted for this purpose because they fail to account for antecedent environmental forcing. The project is expected to create new knowledge of cyanobacteria dynamics from simulating the adaptive responses of individual cyanobacteria cells, colonies or filaments ....A paradigm shift for predictions of freshwater harmful cyanobacteria blooms. This project aims to advance model predictions to generate novel insights into the triggers of freshwater harmful cyanobacteria blooms. Current models are poorly adapted for this purpose because they fail to account for antecedent environmental forcing. The project is expected to create new knowledge of cyanobacteria dynamics from simulating the adaptive responses of individual cyanobacteria cells, colonies or filaments to temperature, light and nutrient history. Three field studies will be used to validate a new individual based model. The outcomes of this project will be valuable for managing freshwater ecosystems that are increasingly subject to blooms in a warming climate, and for testing suitable mitigation and control strategies.Read moreRead less