ARC Australia-New Zealand Research Network for Vegetation Function. Plant species vary widely in quantitative functional traits, and in their relations to climate, soils and geography. Global generalizations are emerging. Vegetation Function network will reach from plant function into genomics and crop breeding, into palaeoecology and vegetation history, into landscape management for carbon, water and salinity outcomes, into forecasting future ecosystems under global change, and into phylogeny, ....ARC Australia-New Zealand Research Network for Vegetation Function. Plant species vary widely in quantitative functional traits, and in their relations to climate, soils and geography. Global generalizations are emerging. Vegetation Function network will reach from plant function into genomics and crop breeding, into palaeoecology and vegetation history, into landscape management for carbon, water and salinity outcomes, into forecasting future ecosystems under global change, and into phylogeny, ecoinformatics and evolutionary theory. Across this span, working groups will target nine identified opportunities for breakthrough research. Each research target needs input from two or more disciplines. Together, the nine targets link across disciplines, as a network that spans from genomic to planetary scales.Read moreRead less
Early warning of cyanobacteria blooms in drinking water reservoirs by means of evolutionary algorithms. Estimated economic cost of cyanobacteria blooms to Australia are at $150 million p.a. Early warning for cyanobacteria blooms will inform water managers to conduct preventive and operational control in reservoirs and water works, and significantly lower risks for public health and costs for monitoring and treatment. Resulting early warning systems will be novel prototypes for cyanobacteria bloo ....Early warning of cyanobacteria blooms in drinking water reservoirs by means of evolutionary algorithms. Estimated economic cost of cyanobacteria blooms to Australia are at $150 million p.a. Early warning for cyanobacteria blooms will inform water managers to conduct preventive and operational control in reservoirs and water works, and significantly lower risks for public health and costs for monitoring and treatment. Resulting early warning systems will be novel prototypes for cyanobacteria blooms in drinking water reservoirs based on forecasting models adaptable to environmental and climate change. Model-based scenario analysis will also assist in informed decisions on effects of drought, injection of recycled water and global warming to cyanobacteria growth.Read moreRead less