Multitrophic interactions drive diversity-ecosystem function relationships. Soil communities, among the most abundant and diverse in nature are responsible for many critical ecosystem functions, including nutrient cycling and climate regulation. This project will determine whether consideration and quantification of interactions between different biotic communities – specifically among plants, soil microbes and animals, within and across trophic levels - can address underlying shortcomings in pr ....Multitrophic interactions drive diversity-ecosystem function relationships. Soil communities, among the most abundant and diverse in nature are responsible for many critical ecosystem functions, including nutrient cycling and climate regulation. This project will determine whether consideration and quantification of interactions between different biotic communities – specifically among plants, soil microbes and animals, within and across trophic levels - can address underlying shortcomings in predictions from classical biodiversity-ecosystem function theory. By advancing understanding of biological complexity and its impacts on ecosystem functions, the project will provide a unifying framework for understanding variation in ecosystem functions across scales, ecosystem types and multiple environmental disturbances.Read moreRead less
Rhizosphere mediation of soil greenhouse gas fluxes with climate change. Increasingly extreme heat waves, droughts and floods contribute major uncertainties in predicting natural land-based climate change mitigation. This project will quantify current and future greenhouse gas absorption in a managed grassland ecosystem, and the new knowledge will contribute to carbon emissions offsets in climate change accounting schemes. We will conduct this research using a manipulative field experiment, cont ....Rhizosphere mediation of soil greenhouse gas fluxes with climate change. Increasingly extreme heat waves, droughts and floods contribute major uncertainties in predicting natural land-based climate change mitigation. This project will quantify current and future greenhouse gas absorption in a managed grassland ecosystem, and the new knowledge will contribute to carbon emissions offsets in climate change accounting schemes. We will conduct this research using a manipulative field experiment, controlled laboratory incubations, microbial gene analysis and mechanistic modelling to provide new insights into future potential climate change mitigation by soils.Read moreRead less
Understanding snow gum dieback for effective and integrated management. The project leverages recent research and infrastructure investments and our determined and collaborative team as it aims to: 1) assess the future geography of snow gum dieback in the high country and identify priority locations for pro-active management, 2) quantify the impact of snow gums on high country water and carbon budgets and thus the socio- economic and biodiversity values, and 3) determine options for mitigation. ....Understanding snow gum dieback for effective and integrated management. The project leverages recent research and infrastructure investments and our determined and collaborative team as it aims to: 1) assess the future geography of snow gum dieback in the high country and identify priority locations for pro-active management, 2) quantify the impact of snow gums on high country water and carbon budgets and thus the socio- economic and biodiversity values, and 3) determine options for mitigation. Dieback of our iconic snow gum forests is diminishing the ecological, hydrological and cultural values of the Australian Alps and will impact state and national water-supply and power-generation systems. Our research will inform Alps-wide management efforts designed for long-term success.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