A bird study led by The Australian National University (ANU) provides new understanding of the ways birds and mammals respond to a rapidly warming world.
New Holland honeyeaters are experts at sounding the alarm when there’s danger, using a two-stage alarm call. They ‘front-load’ information about urgency into the first note of their alarm call, so other honeyeaters can respond quickly.
The clever honeyeaters follow this up with more notes to reinforce the message and signal how long to remain hidden.
As Australia's weather heats up, it could have serious consequences for some of our country's most iconic animals. The research shows marsupials like koalas, possums and gliders are forced to change their eating habits in hot weather because of the toxins found in Eucalyptus leaves.
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.