New multi-scale seed dispersal models for improved regional weed management. This project will exploit recent advances in ecological and atmospheric modelling with the aim to build improved models of seed dispersal across landscapes to anticipate weed spread. Damaging invasive plants are rapidly transforming landscapes and altering ecosystem function worldwide. The speed and direction of weed spread determines the success or failure of costly containment and control actions, however we lack the ....New multi-scale seed dispersal models for improved regional weed management. This project will exploit recent advances in ecological and atmospheric modelling with the aim to build improved models of seed dispersal across landscapes to anticipate weed spread. Damaging invasive plants are rapidly transforming landscapes and altering ecosystem function worldwide. The speed and direction of weed spread determines the success or failure of costly containment and control actions, however we lack the ability to adequately predict spread. New models that combine micrometeorological measurements, within-canopy turbulence and topographic variation in wind flows will be designed to better predict where dispersal will occur. In this project, these improved predictions are planned to be combined with decision models to direct the management of invasive species across entire landscapes.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
Discovery Early Career Researcher Award - Grant ID: DE180100026
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Startle displays: a new route to resolving the aposematism paradox. This project aims to propose an empirical evaluation of startle displays as the ‘missing link’ in antipredator defences. The evolutionary origin of warning colouration is considered paradoxical in that conspicuous mutant prey should be attacked and killed as they evolve, denying predators any chance to learn to avoid them. Startle displays, however, are antipredator defences that exploit predator reflexes through a sudden transi ....Startle displays: a new route to resolving the aposematism paradox. This project aims to propose an empirical evaluation of startle displays as the ‘missing link’ in antipredator defences. The evolutionary origin of warning colouration is considered paradoxical in that conspicuous mutant prey should be attacked and killed as they evolve, denying predators any chance to learn to avoid them. Startle displays, however, are antipredator defences that exploit predator reflexes through a sudden transition from camouflage to warning colouration. This work merges theory on antipredator defences, deepens knowledge of their fitness costs and benefits, and provides a new resolution to a classic evolutionary paradox.Read moreRead less
Turning water into carbon: a synthesis of plant water-use efficiency from leaf to globe. The efficiency with which plants use water to gain carbon is a fundamental aspect of plant growth that has been frequently measured but is poorly understood. Using our new theory to draw together major datasets, the project will make a dramatic advance in our ability to understand and predict this key aspect of ecosystem function.