Reducing uncertainty in prediction of leaf respiration in a changing world. This project aims to advance our understanding of responses of carbon dioxide (CO2) release by leaf (leaf respiration) to su

Description

Reducing uncertainty in prediction of leaf respiration in a changing world. This project aims to advance our understanding of responses of carbon dioxide (CO2) release by leaf (leaf respiration) to sustained changes in CO2 and temperature. Leaf respiration in terrestrial forests releases yearly CO2 that is two to four times higher than CO2 emitted by human activities, but its response to climate change is not well understood. The project expects to generate new knowledge on mechanisms underlying responses of leaf respiration to these climate change variables, separately and combined. Expected outcome is to deliver criteria that enable dynamic changes in leaf respiration to be predicted in climate models. Results should benefit improved forecast of feedback between Australian forests' carbon cycling and climate.. Scheme: Discovery Early Career Researcher Award. Field: 3102 - Bioinformatics and Computational Biology. Lead: Dr Mirindi Eric Dusenge