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Modelling and information integration (Project 1.3)

This project will develop decision support tools for:

  • the prediction of genotype, site and management effects on stand production;
  • end-use suitability of plantation grown products;
  • stand-scale fluxes of carbon and water and risks inherent in plantation development.

These tools will help managers to tailor silviculture for site attributes and allow precise targeting of fertiliser and pesticide application.

Project 1.3 takes the science produced under project 1.2 and integrates it with information from project 1.1 to provide tools for forest managers.

rp1_3

Project 1.3 recognises significant gaps in available decision support tools and their capacity to predict the effect of competing vegetation on forest growth. The project carries out basic science in the areas of plant-plant competition: the niches of forest understorey species (including weeds); and the role of tree and site variability, and seemingly random events, in forming tree size-class distributions in forests.

This knowledge will be delivered to forest managers in improved decision support capacity.

The leader of project 1.3 is Dr Michael Battaglia (Ensis).

Senior scientists are Yue Wang (University of Melbourne/Department of Sustainability and Environment), Philip Smethurst (Ensis), and Paul Adams (Forestry Tasmania).

Please browse the employment and scholarship­ pages for any job vacancies that may be open in relation to the work undertaken in this project.

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