Using big data to untangle ecological cascades in tropical forests (2021–2024)

Abstract:
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.
Grant type:
ARC Discovery Early Career Researcher Award
Researchers:
  • ARC Research Fellow
    School of the Environment
    Faculty of Science
    ARC Senior Research Fellow
    School of the Environment
    Faculty of Science
    Affiliate of Centre for Biodiversit
    Centre for Biodiversity and Conservation Science
    Faculty of Science
Funded by:
Australian Research Council