Discovery Early Career Researcher Award - Grant ID: DE210101440
Funder
Australian Research Council
Funding Amount
$431,015.00
Summary
Using big data to untangle ecological cascades in tropical forests. This project aims to develop a suite of innovative analysis techniques to study wildlife communities with remarkable resolution. This project expects to generate new knowledge in the fields of ecology and conservation biology by leveraging the unprecedented quantity and quality of data captured through a large network of camera traps in Australian and Southeast Asian forests. Expected outcomes include developing novel approaches ....Using big data to untangle ecological cascades in tropical forests. This project aims to develop a suite of innovative analysis techniques to study wildlife communities with remarkable resolution. This project expects to generate new knowledge in the fields of ecology and conservation biology by leveraging the unprecedented quantity and quality of data captured through a large network of camera traps in Australian and Southeast Asian forests. Expected outcomes include developing novel approaches to analysing wildlife data (meta-structural equation modelling) and delivering management guidance to Australian land-owning agencies that may vastly cut costs by identifying efficient interventions and improve conservation outcomes. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120102221
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Investigating the susceptibility of native vegetation edges to alien plant invasion: a quantitative study to help prevent and control invasive species. Alien plant invasion is a major threat to biodiversity in national parks and nature reserves. Determining the relative influence of plant characteristics, number of alien plant seeds and availability of light, water and nutrients on weed invasion will indicate what prevention and control strategies should be used to combat invasive plants.