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Does coevolution drive speciation? This project aims to connect micro-evolutionary processes with macro-evolutionary patterns to test the extent to which tightly coupled co-evolutionary interactions between species drive evolutionary diversification. The project will use techniques including the most recent phylogenetic modelling methods, field experiments and molecular genetics. Expected outcomes include advancing understanding of the mechanisms that generate biodiversity and developing new tec ....Does coevolution drive speciation? This project aims to connect micro-evolutionary processes with macro-evolutionary patterns to test the extent to which tightly coupled co-evolutionary interactions between species drive evolutionary diversification. The project will use techniques including the most recent phylogenetic modelling methods, field experiments and molecular genetics. Expected outcomes include advancing understanding of the mechanisms that generate biodiversity and developing new techniques for acquisition of DNA from museum specimens. The project is expected to provide significant benefits, such as insights into the processes that promote new species in nature.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120101470
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Using social network models to understand the factors driving parasite transmission in bettong populations. Parasitic diseases pose a significant threat to Australia's biodiversity. This project will apply the use of social networks models to understanding how different parasites are spread through endangered bettong populations.
What drives parasite spread through social networks: lessons from lizards. Australia's biodiversity is continually threatened by new epidemics of local and foreign diseases and parasites. This project will enhance our understanding of how these diseases spread, allowing more effective controls to be developed to protect wildlife species, animal populations and, ultimately, Australian ecosystems.
Threshold evolution: conceptualising decisions as traits. All organisms make decisions, yet the diversity of decision rules across the spectrum of life can be understood through a few key evolutionary models. This project will test these models and then apply them to understanding topics as diverse as pest outbreaks, human twinning, sex ratio evolution and disease spread as a consequence of climate change.