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 in ....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.Read moreRead less
Improved growth of Pinus radiata through better modelling and management of photosynthesis and respiration. This research will use recently developed technologies to deliver the first comprehensive analysis of the effects of thinning and fertilizer on distribution of photosynthetically active proteins and nitrogenous metabolites in P. radiata. We seek to develop mechanistic and empirical understandings of photosynthesis, respiration, water use and growth and thus better model and predict effec ....Improved growth of Pinus radiata through better modelling and management of photosynthesis and respiration. This research will use recently developed technologies to deliver the first comprehensive analysis of the effects of thinning and fertilizer on distribution of photosynthetically active proteins and nitrogenous metabolites in P. radiata. We seek to develop mechanistic and empirical understandings of photosynthesis, respiration, water use and growth and thus better model and predict effects of management actions on yield of commercial softwood plantations. We will also apply similarly new but complementary and compatible technologies to assess photosynthesis, water use and respiration characteristics of a range of P. radiata genotypes of known growth potential. Our aim here is to develop new tools to help selection of high-yielding genotypes. The data collected will again be used to inform our development of a new growth model where the 'driver' of growth is respiration and where hydraulic architecture and soil water balance limits photosynthesis and water use.
Read moreRead less