Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP0454287
Funding Status
Closed
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Funded Activity Summary
Cellular automata model of forest stands to predict size-class distribution and survival. Existing forest growth models predict well stand level processes such as growth. However, they provide little information on forest structure and how this affects commercial forest products, risks of growing plantations and stand dynamics that determine carbon sequestration and water-use and result in age-related decline in productivity and self-thinning. By using newly developed technology to quantify inter-tree competition, tree level resource supply, between tree genetic differences and the importance of chance events this project will draw on complexity theory to develop an innovative model that partitions stand level production to forecast the growth and size of individual trees.Funded Activity Details
Start Date: 04-2005
End Date: 04-2007
Funding Scheme: Linkage Projects
Funding Amount: $323,654.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Nutrition And Physiology | Management And Environment | Forestry Sciences | Global Change Biology
ANZSRC Socio-Economic Objective (SEO)
Climate change | Hardwood plantations | Land and water management |
