Using genomic, physiological, and landscape data to better inform predictions of biodiversity loss under climate change

Event type: 
12 October 2018
3pm - 4pm

Mathews Building, Theatre D

Dr. Renee Catullo
Associate Professor Lisa Schwanz

Spatial models of biodiversity loss under climate change often assume that species must track their thermal niche across the landscape. However, many species’ ranges are limited by biological, not thermal interactions, and some species have the capacity to evolve in response to the selection pressure of climate change. This means that species have physiological, plastic, and evolutionary capacity to adapt to novel conditions, and these data can increase the accuracy of biodiversity loss prediction. I will talk about the information needed for improved models, new spatial modelling software, and how to estimate the parameters of adaptation from genomic and spatial data.

Bio: I always wanted to be a biologist, but spent most of my 20s accidently sucked into the finance game. After a few years at General Electric, I made a big change and did a PhD at the ANU with Prof. Scott Keogh on the monsoonal biogeography of Toadlets (Uperoleia). I completed a Postdoctoral Fellowship at CSIRO on the incorporating adaptation into spatial models of biodiversity loss under climate change.  This was followed by a short stint as an Associate Lecturer at Macquarie University, and a couple of years as a Lecturer at Western Sydney University. I’m now a Postdoctoral fellow with Prof. Craig Moritz at the Australian National University/CSIRO, working on improving use of biodiversity informatics for conservation decision making and evolutionary research.