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Summary of full report
RIRDC/L&WA/FWPRDC Joint Venture Agroforestry Program
by F.L. Hensken, M. Battaglia and
M.L. Ottenschlaeger
May 2008
RIRDC Publication No 08/094 RIRDC Project No CPF-1A
Executive Summary
What the report is about
This research developed
the AGGRO model as a tool to support farm forestry development. A cutdown
version of the model has since been incorporated into the Farm Forestry
Toolbox (available from www.privateforests.tas.gov.au).
Who is the report targeted
at?
While the AGGRO model itself
passes on a wealth of information to small growers about indicative yields
for a range of farm forestry scenarios, informed by the many valuable silvicultural
experiments conducted in Australia, the detailed science presented in this
report informs researchers and scientists with an interest in the technical
details underpinning model development.
Background
The AGGRO model was developed
through this research in recognition that models used in industrial forestry
are not well suited to farm forestry situations, which typically fail to
predict growth realistically and do not account for silvicultural management,
like thinning and pruning. The model is informed by a significant body
of information collected from silvicultural experiments conducted throughout
Australia. It provides farm foresters and researchers with more reliable
information to guide tree planting and management.
Aims/Objectives
The primary objective of
this study was the development of a user-friendly PC package (the AGGRO
model) for the prediction of wood volume for a range of planting designs
(including wide-spaced and strip plantings) and thinning of Eucalyptus
globulus and E. nitens given only a few simple and easily obtained site
descriptors. The model developed also predicts branch biomass and average
tree size and so gives some indication of end product suitability.
Methods used
Field work and analysis
were undertaken to better define the physiological and growth response
of plantation grown Eucalyptus globulus trees to wide-spacing. This information
was then used to underpin AGGRO, a simple, easy-to-use predictive model
within an Excel spreadsheet format. This model was subsequently verified
for growth predictions of E. globulus and E. nitens.
Results/Key findings
The AGGRO model is a powerful
tool that encapsulates not only the knowledge generated in this report,
but years of research by many scientists. It puts at the fingertips of
the farm forester a powerful scenario generation tool.
The major outcomes of the model predictions are reported according to:
Implications for relevant
stakeholders
The research outlines the
types of question that can be explored and how silvicultural regimes and
planting layouts can be tailored to site characteristics. The detailed
physiological and mensurational work in this project has developed a considerable
knowledge base on the responses of photosynthetic and morphological traits.
This information is inevitably complex. However, the work has shown that
by embedding this knowledge into a simple-to-use decision support system,
the implications of this research can become accessible to end-users.
Recommendations
This project recommended
the incorporation of AGGRO into the Farm Forestry Toolbox, which includes
an economic evaluation tool. Together, these tools will enable farm foresters
to evaluate the economic consequences of plantation project development
and management options on their lands with greater confidence. An agreement
between JVAP and the Cooperative Research Centre for Sustainable Production
Forestry and Private Forests Tasmania was reached at the conclusion of
this project, and a cutdown version of AGGRO has now been incorporated
in Version 6 of the Farm Forestry Toolbox.
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