Discovery Early Career Researcher Award - Grant ID: DE190100636
Funder
Australian Research Council
Funding Amount
$401,202.00
Summary
Integrating genomics into native fish management to promote persistence. This project aims to improve predictions of the effects of environmental change on the long-term survival of wildlife, using native fish as a case study. By integrating genomics into biodiversity models, this project expects to generate fundamental knowledge of processes underpinning long-term survival and is a big advance on traditional biodiversity models that consider only occurrence or abundance. Expected outcomes inclu ....Integrating genomics into native fish management to promote persistence. This project aims to improve predictions of the effects of environmental change on the long-term survival of wildlife, using native fish as a case study. By integrating genomics into biodiversity models, this project expects to generate fundamental knowledge of processes underpinning long-term survival and is a big advance on traditional biodiversity models that consider only occurrence or abundance. Expected outcomes include insights into fish responses to environmental conditions and new tools to predict long-term survival of wildlife. These tools will guide cost-effective delivery of environmental water in the Murray-Darling Basin, and wider uptake should promote the long-term effectiveness of conservation efforts for many species.Read moreRead less
Improving stream management using ecological modelling and DNA barcodes. Rivers and streams provide invaluable ecosystem services, yet are commonly degraded by human activities: a problem likely to be exacerbated by thermal and flow regimes being altered by climate change. Stream biodiversity is both a value and an indicator of ecological health: effective stream management requires prediction of biodiversity responses to natural environmental and human-impact gradients. By compiling a dataset o ....Improving stream management using ecological modelling and DNA barcodes. Rivers and streams provide invaluable ecosystem services, yet are commonly degraded by human activities: a problem likely to be exacerbated by thermal and flow regimes being altered by climate change. Stream biodiversity is both a value and an indicator of ecological health: effective stream management requires prediction of biodiversity responses to natural environmental and human-impact gradients. By compiling a dataset of macroinvertebrate species using new DNA metabarcoding, modelling their distributions, and ranking biodiversity by reach, we will develop molecular and quantitative spatial tools to provide data-driven, landscape-scale decision support for protecting and restoring streams: an urgent need for stream managers globally.Read moreRead less