Assessing the ecosystem-wide risks of threatened species translocation. Assessing the ecosystem-wide risks of threatened species translocation. This project aims to develop the first quantitative risk assessment framework to improve decisions about moving threatened species to new places. Moving threatened plants and animals to new environments, or reintroducing them where they previously persisted, is a growing focus of conservation. Moving species can have unanticipated effects on other specie ....Assessing the ecosystem-wide risks of threatened species translocation. Assessing the ecosystem-wide risks of threatened species translocation. This project aims to develop the first quantitative risk assessment framework to improve decisions about moving threatened species to new places. Moving threatened plants and animals to new environments, or reintroducing them where they previously persisted, is a growing focus of conservation. Moving species can have unanticipated effects on other species in the ecosystem. Although the International Union for Conservation of Nature deems ecosystem-wide risk assessments essential for conservation translocations, no framework exists to assess these risks and inform these decisions. New tools for assessing the risks of conservation translocations are expected to improve global and local conservation outcomes.Read moreRead less
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