Extinction of turtles in the River Murray: Consequences and Solutions. Turtles are a major ecological component of the Murray-Darling, Australia’s major river system. They are declining alarmingly with potential dire consequences for water quality, biodiversity, and river health. This project unites a world-class research team with diverse industry partners, indigenous groups, and non-government organisations from three states to address a problem of national significance. This project aims to i ....Extinction of turtles in the River Murray: Consequences and Solutions. Turtles are a major ecological component of the Murray-Darling, Australia’s major river system. They are declining alarmingly with potential dire consequences for water quality, biodiversity, and river health. This project unites a world-class research team with diverse industry partners, indigenous groups, and non-government organisations from three states to address a problem of national significance. This project aims to identify and quantify causes of declines in turtles along the whole system, with the aim of developing practical management options to overcome it. This will be the first river-wide study of turtles, achieved by combining cutting-edge genetic and ecological techniques with a citizen science program.Read moreRead less
Sex and the generation gap: seasonal changes in sex allocation. Answering the question 'When is it better to produce more sons than daughters?' has shed important insights into fundamental questions in biology and led to theory that can be applied to problems in agriculture, fisheries and conservation. The project will extend the current theory to increase its applicability, and test it using an introduced pest fish.
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