Improving stream management using ecological modelling and DNA barcodes. Rivers and streams provide invaluable ecosystem services, yet are commonly degraded by human activities: a problem likely to be exacerbated by thermal and flow regimes being altered by climate change. Stream biodiversity is both a value and an indicator of ecological health: effective stream management requires prediction of biodiversity responses to natural environmental and human-impact gradients. By compiling a dataset o ....Improving stream management using ecological modelling and DNA barcodes. Rivers and streams provide invaluable ecosystem services, yet are commonly degraded by human activities: a problem likely to be exacerbated by thermal and flow regimes being altered by climate change. Stream biodiversity is both a value and an indicator of ecological health: effective stream management requires prediction of biodiversity responses to natural environmental and human-impact gradients. By compiling a dataset of macroinvertebrate species using new DNA metabarcoding, modelling their distributions, and ranking biodiversity by reach, we will develop molecular and quantitative spatial tools to provide data-driven, landscape-scale decision support for protecting and restoring streams: an urgent need for stream managers globally.Read moreRead less
A global standard for the status of Wetlands of International Importance. The project will develop and test a new global standard for the assessment and reporting on ecological condition of internationally important wetlands, listed under the Ramsar Convention. It has four aims: establishment of a strategic adaptive management and governance framework, a meta-analysis of the 2,303 internationally listed wetlands, development of a protocol for assessment and prediction and delivering a digital re ....A global standard for the status of Wetlands of International Importance. The project will develop and test a new global standard for the assessment and reporting on ecological condition of internationally important wetlands, listed under the Ramsar Convention. It has four aims: establishment of a strategic adaptive management and governance framework, a meta-analysis of the 2,303 internationally listed wetlands, development of a protocol for assessment and prediction and delivering a digital reporting platform for effective management. The project is significant because it tackles the decline of freshwater ecosystems, by targeting the most prominent wetlands. It also assists state and national governments to meet their obligations under the Ramsar Convention and most importantly guides more effective management.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