Understanding the importance of lianas for forest health and management. This project aims to assess the impact of lianas (woody vines) and their removal on forest health and value. New field infrastructure, removal experiments and global datasets will be used to compare forest health under varying liana dominance, determine whether lianas are preventing recovery, and to predict regional and global impacts. The project expects to generate new knowledge regarding ecosystem function and global cha ....Understanding the importance of lianas for forest health and management. This project aims to assess the impact of lianas (woody vines) and their removal on forest health and value. New field infrastructure, removal experiments and global datasets will be used to compare forest health under varying liana dominance, determine whether lianas are preventing recovery, and to predict regional and global impacts. The project expects to generate new knowledge regarding ecosystem function and global change biology, building collaboration between ecologists, economists and forest managers. The project expects to have significant implications for forest health and the global economy. The expected benefit will be implementation of restoration methods in priority areas and subsequently improved forest health.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL190100003
Funder
Australian Research Council
Funding Amount
$3,108,997.00
Summary
A unified dynamic vegetation model for Australia. This project aims to synthesise current theory and data to develop a predictive, process-based model for Australian vegetation dynamics in response to environmental change. The existing theory and data are extensive, but fragmented. This project will deliver a crucial missing link in Australian ecosystem science, unifying these data in an integrative quantitative framework that can identify the critical limiting factors for different vegetation t ....A unified dynamic vegetation model for Australia. This project aims to synthesise current theory and data to develop a predictive, process-based model for Australian vegetation dynamics in response to environmental change. The existing theory and data are extensive, but fragmented. This project will deliver a crucial missing link in Australian ecosystem science, unifying these data in an integrative quantitative framework that can identify the critical limiting factors for different vegetation types, and predict their dynamics and resilience. It will transform our understanding of Australian vegetation form and function, and place it in a global context, with significant ongoing benefits for land management, fire management, agriculture and conservation.Read moreRead less