News & events
News
Red deer on a Scottish island are providing scientists with some of the first evidence that wild animals are evolving to give birth earlier in the year as the climate warms.
A first-of-its-kind citizen science project will put amateur butterfly-watchers at the forefront of research and conservation for the insect.
Warmer temperatures linked to climate change are having a big impact on the breeding habits of one of Australia’s most recognisable bird species, according to researchers at The Australian National University (ANU).
Five years ago, an ANU biologist proved that most female songbirds sing, but it’s a finding that many people are struggling to accept.
New research from Australia and Finland could help explain one of nature's strangest quirks - why some animals forego mating to help other animals procreate.
Events
Plants synthesize an amazing diversity of volatile organic compounds (VOCs) that facilitate interactions with their environment, ranging from attracting pollinators and seed dispersers to protecting themselves from pathogens, parasites, and herbivores.
This seminar is presented by Dr Emily Stringer and Dr Jarrod Sopniewski, Postdoctoral Research Fellows from the Centre for Conservation Ecology and Genomics at the University of Canberra.
Many flowering plants have evolved diverse strategies to communicate with and attract animal pollinators. We have discovered exciting new evidence for the role of anthocyanins and terpenes in the evolution of the highly diverse terrestrial orchid subtribe Caladeniinae (Diurideae).
Using case studies from my research on black-cockatoos and a formal partnership with Bush Heritage Australia, I will discuss how bioacoustics’ focus on machine learning and analysis over the last decade has now landed us in a place to use the technology in applied conservation settings.
Dietary shifts—particularly the inclusion of animal resources—were pivotal in human evolution, yet direct evidence of meat consumption in early hominins remains limited and debated.
By addressing key modeling challenges in mass spectrometry and tissue image analysis, this research advances the scalability, precision, and applicability of deep learning in clinical genomics, computational pathology, and personalized medicine.