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
Improving prediction of rocky reef ecosystem responses to human impacts. This project aims to improve our understanding of inshore ecosystems to facilitate better management of our living marine heritage. The project first aims to extend field datasets on the density and distribution of thousands of marine fishes, invertebrates and macro-algae. These will then be combined using recent advances in quantitative ecological modelling to describe transfer of biomass between species at hundreds of sit ....Improving prediction of rocky reef ecosystem responses to human impacts. This project aims to improve our understanding of inshore ecosystems to facilitate better management of our living marine heritage. The project first aims to extend field datasets on the density and distribution of thousands of marine fishes, invertebrates and macro-algae. These will then be combined using recent advances in quantitative ecological modelling to describe transfer of biomass between species at hundreds of sites, with a primary focus on southern Australia. It is anticipated that this will provide site-level indices of major food web processes that, when combined with ‘before, after, control, impact’ data, will improve prediction of ecological consequences of fishing, climate change, pest outbreaks and pollution.Read moreRead less