Modelling and control of mosquito-borne diseases in Darwin using long-term monitoring. Management of mosquito populations is a high public health priority because these insects can spread diseases such as malaria, dengue, Ross River virus, Barmah Forest virus, Murray Valley encephalitis, Japanese encephalitis and Kunjin/West Nile virus. Our research into the effectiveness of mosquito control programs in Darwin is of immediate national relevance and priority given the need to Safeguard Australia ....Modelling and control of mosquito-borne diseases in Darwin using long-term monitoring. Management of mosquito populations is a high public health priority because these insects can spread diseases such as malaria, dengue, Ross River virus, Barmah Forest virus, Murray Valley encephalitis, Japanese encephalitis and Kunjin/West Nile virus. Our research into the effectiveness of mosquito control programs in Darwin is of immediate national relevance and priority given the need to Safeguard Australia from invasive diseases. There is an urgency to undertake our research because global environmental change and increasing movements of people (particularly military personnel) from overseas regions where these diseases are endemic is increasing the vulnerability of northern Australia to the (re)establishment of mosquito borne diseases.Read moreRead less
Integrating fire and predator management to conserve threatened species. This project aims to empower land managers to better conserve Australia’s threatened native animals by developing decision-support approaches that facilitate integrated management of threatening processes. The project will use a combination of novel predictive models, field experiments and data syntheses to assist land managers to better conserve Australia’s threatened native fauna. This project will benefit biodiversity co ....Integrating fire and predator management to conserve threatened species. This project aims to empower land managers to better conserve Australia’s threatened native animals by developing decision-support approaches that facilitate integrated management of threatening processes. The project will use a combination of novel predictive models, field experiments and data syntheses to assist land managers to better conserve Australia’s threatened native fauna. This project will benefit biodiversity conservation by enabling more effective allocation of limited conservation resources.Read moreRead less