A novel top-down approach to ecosystem management using multivariate foraging strategies of an iconic marine top-predator. Understanding predator aggregation patterns in relation to marine productivity is critical in designing ecosystem-level conservation plans for protecting marine habitats and species. The project aims to develop a new approach to measure prey abundance and availability in the marine ecosystem for the management of resources of top-predators. This will be of specific benefit i ....A novel top-down approach to ecosystem management using multivariate foraging strategies of an iconic marine top-predator. Understanding predator aggregation patterns in relation to marine productivity is critical in designing ecosystem-level conservation plans for protecting marine habitats and species. The project aims to develop a new approach to measure prey abundance and availability in the marine ecosystem for the management of resources of top-predators. This will be of specific benefit in areas where a strong need exists for conservation of prey species with economic importance too low to justify expensive at-sea research.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
Cellular automata model of forest stands to predict size-class distribution and survival. Existing forest growth models predict well stand level processes such as growth. However, they provide little information on forest structure and how this affects commercial forest products, risks of growing plantations and stand dynamics that determine carbon sequestration and water-use and result in age-related decline in productivity and self-thinning. By using newly developed technology to quantify in ....Cellular automata model of forest stands to predict size-class distribution and survival. Existing forest growth models predict well stand level processes such as growth. However, they provide little information on forest structure and how this affects commercial forest products, risks of growing plantations and stand dynamics that determine carbon sequestration and water-use and result in age-related decline in productivity and self-thinning. By using newly developed technology to quantify inter-tree competition, tree level resource supply, between tree genetic differences and the importance of chance events this project will draw on complexity theory to develop an innovative model that partitions stand level production to forecast the growth and size of individual trees.Read moreRead less