Find out about our latest news and events.

News

Monday, 19 Sep 2022

Spring isn't all it's quacked up to be. Pollen levels are high, magpies are terrorising cyclists and pedestrians alike, and protective duck parents are in attack mode.

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Saturday, 03 Sep 2022

Our new research unites genomic sequencing and museum collections to reconstruct the evolutionary tale of native rodents, including many extinct and elusive species – and they have a fascinating origin story.

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Thursday, 01 Sep 2022

If swooping season strikes fear into your heart, you're not alone. Fortunately, Dr Chaminda Ratnayake from the ANU Research School of Biology has the intel you need to navigate the great outdoors this spring.

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Magpie-lark pair duetting. Image: Pawel Rek
Thursday, 14 Jul 2022

A new study shows Australian magpie-larks may use a ventriloquial illusion to make their vocal duets more threatening.

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Friday, 27 May 2022

To measure the speed of adaptive evolution in the wild, we studied 19 populations of birds and mammals over several decades. We found they were evolving at twice to four times the speed suggested by earlier work.

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Friday, 27 May 2022

The raw material for evolution is much more abundant in wild animals than we previously believed, according to new research.

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Events

1 Apr 2021 | 9 - 10am
18 Mar 2021 | 10am

Ecology and Evolution Discussions Down Under

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4 Mar 2021 | 9am

I’ll share some of the latest data on animal movement around the planet. I will highlight how this helps us to preserve biodiversity, to secure our global food supplies, to anticipate pandemics and potentially to predict natural disasters.

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19 Feb 2021 | 4 - 5pm

The study of animal ‘personality’, or consistent individual differences in behaviour, has received much attention in the last two decades, but several important questions remain unclear.

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11 Dec 2020 | 4 - 5pm

Animals live in an ever-changing world, but environmental perturbations are occurring at an alarming rate - threatening biodiversity and population persistence.

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8 Dec 2020 | 4 - 5pm

I examine how some established population genetic models can be extended to accommodate insights from newer data and analytic methods.

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