Macroecology of reptiles and frogs over latitudinal and temporal gradients. This project aims to address major macroecological concepts in reptile and frog communities through time, focusing on environmental and climatic gradients in species diversity and body-size variation. This project expects to generate a unique macroecological dataset by integrating data from Quaternary fossil sites spanning a 3000km latitudinal gradient with current ecological data. Expected outcomes include the first com ....Macroecology of reptiles and frogs over latitudinal and temporal gradients. This project aims to address major macroecological concepts in reptile and frog communities through time, focusing on environmental and climatic gradients in species diversity and body-size variation. This project expects to generate a unique macroecological dataset by integrating data from Quaternary fossil sites spanning a 3000km latitudinal gradient with current ecological data. Expected outcomes include the first comprehensive ecological assessment of Australian reptile and frog communities through Pleistocene climate oscillations, with predictions into the future. This research will benefit Australian society by providing evidence-based knowledge of faunal community composition through time in association with changing climates.Read moreRead less
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