Special Research Initiatives - Grant ID: SR0354582
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Australia-NZ Network for Vegetation Function and Futures. Plants shape our landscapes and drive ecosystem processes from local to global scale. Plant species vary widely in quantitative functional traits. Global datasets about functional variation are emerging, with Australian and NZ leadership. A network would be supported in both Australia and NZ and with strong links elsewhere. It would target seven ambitious but achievable research developments. Each of them demands intensive conversation be ....Australia-NZ Network for Vegetation Function and Futures. Plants shape our landscapes and drive ecosystem processes from local to global scale. Plant species vary widely in quantitative functional traits. Global datasets about functional variation are emerging, with Australian and NZ leadership. A network would be supported in both Australia and NZ and with strong links elsewhere. It would target seven ambitious but achievable research developments. Each of them demands intensive conversation between separate disciplines. Networking across all seven strands will create a broader linkage, spanning across palaeobiology, ecosystem function, vegetation structure, global change, ecophysiology, phylogeny, genomics, ecoinformatics and evolutionary theory.Read moreRead less
How effective are environmental flows? Novel approaches for monitoring and assessing ecological responses to large-scale flow alteration. Australia has begun a multi-billion dollar program to return water to stressed rivers as environmental flows. However, during times of unprecedented water scarcity, such an investment in the environment can be controversial because the ecological benefits of released water are mostly poorly understood. This project will demonstrate the effectiveness of environ ....How effective are environmental flows? Novel approaches for monitoring and assessing ecological responses to large-scale flow alteration. Australia has begun a multi-billion dollar program to return water to stressed rivers as environmental flows. However, during times of unprecedented water scarcity, such an investment in the environment can be controversial because the ecological benefits of released water are mostly poorly understood. This project will demonstrate the effectiveness of environmental flows, and promote greater understanding of the links between flow patterns and river health. The project will build upon existing knowledge to create a sound framework for planning, monitoring, and evaluation of environmental watering decisions across regional Australia, greatly improving our ability to sustainably manage rivers into the future.Read moreRead less
ARC Australia-New Zealand Research Network for Vegetation Function. Plant species vary widely in quantitative functional traits, and in their relations to climate, soils and geography. Global generalizations are emerging. Vegetation Function network will reach from plant function into genomics and crop breeding, into palaeoecology and vegetation history, into landscape management for carbon, water and salinity outcomes, into forecasting future ecosystems under global change, and into phylogeny, ....ARC Australia-New Zealand Research Network for Vegetation Function. Plant species vary widely in quantitative functional traits, and in their relations to climate, soils and geography. Global generalizations are emerging. Vegetation Function network will reach from plant function into genomics and crop breeding, into palaeoecology and vegetation history, into landscape management for carbon, water and salinity outcomes, into forecasting future ecosystems under global change, and into phylogeny, ecoinformatics and evolutionary theory. Across this span, working groups will target nine identified opportunities for breakthrough research. Each research target needs input from two or more disciplines. Together, the nine targets link across disciplines, as a network that spans from genomic to planetary scales.Read moreRead less