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Special Research Initiatives - Grant ID: SR0354740
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
CaGaWaLo: regulation of carbon gain and water loss by woody vegetation. Trees and shrubs are widely perceived as central to solving problems of national and international significance. Seed funding is sought to facilitate establishment of a research network focused on their ability to sequester carbon and transmit water to the atmosphere. The proposed network is broadly based in plant physiology and ecology and contains a strong cross-section of leading international expertise in relevant sub- ....CaGaWaLo: regulation of carbon gain and water loss by woody vegetation. Trees and shrubs are widely perceived as central to solving problems of national and international significance. Seed funding is sought to facilitate establishment of a research network focused on their ability to sequester carbon and transmit water to the atmosphere. The proposed network is broadly based in plant physiology and ecology and contains a strong cross-section of leading international expertise in relevant sub-disciplines. By leveraging the huge pool of international expertise and focusing on a range of scales (from molecular to biosphere scales), this network will yield new ideas and approaches that will produce outputs and outcomes of national significance.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
Devising ecologically sustainable restoration programs for degraded rural landscapes by integrating landscape ecology, genetics and ecophysiology. Concern about tree decline in rural landscape is widespread, and disturbingly climate change is predicted to exacerbate this problem. Past ill-considered tree plantings have proven to be economically wasteful, achieved limited ecological resilience and negligible improvement of biodiversity values. Using Tasmania as a 'model system', we will advance t ....Devising ecologically sustainable restoration programs for degraded rural landscapes by integrating landscape ecology, genetics and ecophysiology. Concern about tree decline in rural landscape is widespread, and disturbingly climate change is predicted to exacerbate this problem. Past ill-considered tree plantings have proven to be economically wasteful, achieved limited ecological resilience and negligible improvement of biodiversity values. Using Tasmania as a 'model system', we will advance this problem by undertaking research to determine how seedling establishment, tree growth, carbon storage and water use are influenced by landscape setting, management history, climate change, species type and local varieties. This research will provide a much needed evidence to devise ecologically sustainable tree-plantings in southern Australia.Read moreRead less