New models for effective surveillance. This project will deliver new methods for generating the information that underpins sound resource management decisions, focusing on statistical techniques to deploy surveillance resources. Results will be relevant to a wide range of applications including setting realistic targets for the effectiveness of biosecurity and quarantine systems.
Behavioural variation and the success of invasive animals. This project aims to test how behavioural variation affects invasion success. Invasive species can cause economic and ecological damage. Focused preventive measures are difficult unless we know what makes invasions succeed. The role of behaviour is not yet clear – especially inter-individual behavioural variation within species. Using a known invasive reptile model, this project will determine which relevant behaviours are heritable, and ....Behavioural variation and the success of invasive animals. This project aims to test how behavioural variation affects invasion success. Invasive species can cause economic and ecological damage. Focused preventive measures are difficult unless we know what makes invasions succeed. The role of behaviour is not yet clear – especially inter-individual behavioural variation within species. Using a known invasive reptile model, this project will determine which relevant behaviours are heritable, and therefore subject to evolutionary selection during introduction, establishment, and spread into new locations. Understanding why some invasive species repeatedly succeed while others fail could improve efforts to limit or prevent the harmful effects of invasion.Read moreRead less
Drivers of the live pet trade in Australian reptiles. This project aims to understand the complex trade in live Australian reptiles. The global pet trade is a major threat to biodiversity. This project expects to generate critical new knowledge for combatting the current and future illegal trade in Australian wildlife. Using surveillance of domestic and overseas online markets, and innovative statistical and simulation-based approaches to inform conservation decision-making, the expected outcome ....Drivers of the live pet trade in Australian reptiles. This project aims to understand the complex trade in live Australian reptiles. The global pet trade is a major threat to biodiversity. This project expects to generate critical new knowledge for combatting the current and future illegal trade in Australian wildlife. Using surveillance of domestic and overseas online markets, and innovative statistical and simulation-based approaches to inform conservation decision-making, the expected outcomes of this project include an enhanced capacity to conserve native species and to monitor and disrupt the complex illegal wildlife trade. This should provide significant benefits in terms of biodiversity conservation and safeguarding Australia’s unique and ecologically important native reptile species.Read moreRead less
Predicting the ecological and economic outcomes of trade. This project aims to understand and predict the effects of global trade on land use and biodiversity.Growth in international trade increases trade-mediated land-use by increasing demand for commodities directly or indirectly derived from the land. Accurate predictions of trade effects and opportunities would allow governments to maximise ecological and economic benefits and minimise effects through judicious planning and regulation, but s ....Predicting the ecological and economic outcomes of trade. This project aims to understand and predict the effects of global trade on land use and biodiversity.Growth in international trade increases trade-mediated land-use by increasing demand for commodities directly or indirectly derived from the land. Accurate predictions of trade effects and opportunities would allow governments to maximise ecological and economic benefits and minimise effects through judicious planning and regulation, but such analyses do not exist. This project expects to advance trade policy evaluation by improving and integrating computable global equilibrium models and land-use and ecological models to better characterise consequences of trade.Read moreRead less
Comparative biosecurity informatics to anticipate invasive species threats. Invasive species cause billions in economic damages to Australia, but we do not have effective means to identify dangerous species before they arrive and cause harm. This project aims to overcome this challenge using the latest techniques in machine learning combined with genetic, ecological, and functional datasets for thousands of species. This project expects to generate a novel framework that allows us to identify an ....Comparative biosecurity informatics to anticipate invasive species threats. Invasive species cause billions in economic damages to Australia, but we do not have effective means to identify dangerous species before they arrive and cause harm. This project aims to overcome this challenge using the latest techniques in machine learning combined with genetic, ecological, and functional datasets for thousands of species. This project expects to generate a novel framework that allows us to identify and rank dangerous invasive species in an unbiased way, helping to safeguard Australia's unique biological community. Expected outcomes include improved methods for detecting ecologically and functionally similar species, providing substantial economic efficiency benefits to Australian biosecurity.Read moreRead less