![]() |
|
Summary of full report
A report for the RIRDC/L&WA/FWPRDC/MDBC Joint Venture Agroforestry Program
by Tim S. Grove, Daniel S. Mendham, Stanley J. Rance, John Bartle and Syd Shea
June 2007
RIRDC Publication No 07/084 RIRDC Project No CSF-63A
Who is the report targeted
at?
This report will be of use
to landholders and mallee plantation managers in considering how to better
manage site nutrition and maintain productivity growth of mallee belts.
Use of the prototype toolkit, OMEN, will also be useful for landholders
and farm forestry advisors.
Background
Establishment of woody perennial
vegetation is an important part of the solution to dryland salinity, which
is currently threatening a large proportion of the Australian agricultural
landscape. The scale of planting necessary to achieve salinity amelioration
requires that adoption of woody perennial vegetation is commercially driven.
Woody perennials must be widely dispersed in order to intercept surplus
water from adjacent crop or pasture planted areas. This is most effectively
done using woody crops in a contour belt configuration. This allows agriculture
to continue on interrow lands while adjacent woody perennial belts draw
down the saline water table. Potential has been identified in WA for an
industry based on oil mallee, and a large investment has been made in extensive
planting of oil mallee in belts. Investment has also been made in development
of a pilot processing plant to extract eucalyptus oil, energy, and activated
charcoal from the oil mallee feedstock. Extraction of these products requires
harvest and removal of all above-ground components of the tree. Experience
in Australia and overseas has shown that short-rotation woody crops can
deplete site nutrient reserves, especially where whole tops are removed.
However, sustained productivity of oil mallee crops will be required over
many rotations to ensure that the potential environmental and economic
benefits are returned to farmers and the community. This project was established
to develop techniques to readily assess site nutrient export, and to ensure
that appropriate nutrient management can be implemented in oil mallee crops
for longer term sustainability of the industry.
Aims and Objectives
The aims of this project
were (1) to develop techniques for rapid assessment of the quantity of
biomass and nutrients exported from intensively harvested oil mallee crops,
(2) to apply these techniques to examine nutrient export scenarios at four
representative oil mallee planting sites, and (3) to provide recommendations
to ensure longer-term sustainability of the industry.
Methods Used A series of regression functions were defined using trees from a range of sites within a matrix of 2 focus regions (Kalannie, Narrogin), 2 soil types within each region (high and lower fertility), 2 species within each region (including 1 species common to both regions), and a range of ages and tree sizes.
The 3 species sampled were Eucalyptus kochii ssp. plenissima (Kalanni), E. polybractea (at Narrogin) and E. loxophleba ssp. lissophloia; the latter was in common to both soil types in each region. In total, 139 trees were harvested from 27 sites within this matrix. Each harvested tree was separated into a maximum of 7 fractions. The biomass and nutrient contents were assessed and related to nondestructive measurements through functions. These functions were incorporated into a computational tool, Oil Mallee Estimator of Nutrients (OMEN), for ready application. The OMEN tool was then used to predict belt-level biomass and nutrients at 4 representative focus sites, 2 in the Narrogin district, and 2 in the Kalannie district. Above-ground nutrient contents were compared with the stores in soil to 2 m frequency on site nutrient depletion.
Results and Key Findings
Regressions were developed
to predict biomass and nutrients (N, P, K, Ca, Mg, and Na) from both individual
stem measurements (heights and base diameters), and from whole-tree measurements
(tree height, maximum canopy width and length, height to the base of the
crown, number of stems) in uncut trees. Both regression types explained
a high proportion of the variation in tree biomass and nutrient content.
The individual-stem measurements were more strongly correlated to biomass
and nutrients, explaining 94.9-97.1% of the variation in canopy contents
of biomass and nutrients, and 95.0-97.6% of the variation in stem (wood,
bark, branches) biomass and nutrients. The whole-tree measurements were
also highly correlated with both canopy (93.7-97% of the variation explained),
and stem (91- 94.8% of the variation explained) components. The factors
of region, fertility and species, and their 2nd order interactions were
of variable significance, depending on the specific tree fraction and nutrient.
Generally, site factors (fertility, region) showed significant effects on the biomass and nutrient composition of canopy fractions but not on stem and branch fractions. Full models were developed to account for these species, site, and interaction effects, with more than 5000 coefficients being generated within this suite of models. Due to the complexity of this data set, the OMEN computational tool was developed as part of this project. This integrates these models into a useful package and allows the user to enter basic site information (belt length, row width etc.), and tree-based measure information (either individual stem or whole tree). OMEN then integrates this measurement information with the regression model parameters to predict the standing biomass and nutrient content of the belt. The OMEN tool can also be used to predict impacts of variable harvest frequency on site nutrient export.
Regressions were developed based on uncut sapling trees. Their application to coppice regrowth was examined at one site. The coppice material showed broad agreement with model predictions, but foliage concentrations of cations were much lower in the coppice material at that site. Hence the model predictions overestimated the biomass and amounts of nutrients in coppice shoots, and more work is required to allow accurate prediction of coppice biomass and nutrient contents.
Using the OMEN tool, a 5-year old E. polybractea belt at Narrogin was predicted to have a total of 25 tonnes ha-1 biomass, with 189 kg ha-1 N, 12 kg ha-1 P, 87 kg ha-1 K, 241 kg ha-1 Ca, and 25 kg ha-1 Mg.
This contrasted with a 4-year old E. loxophleba ssp. lissophloia tree belt at Kalannie, which had a predicted 4.0 t ha-1 biomass, and 38 kg ha-1 N, 2.5 kg ha-1 P, 14 kg ha-1 K, 49 kg ha-1 Ca, and 4.3 kg ha-1 Mg. The sites were assessed after two very dry years in the Kalannie region, which partly explained the large difference in biomass between the sites.
The quantity of nutrients in the tree belts at the focus sites were also related to the soil stores to 2 m depth. Above-ground nutrient stores were generally around 1% of the soil stores in the higher fertility soils, and up to 5% of the soil stores at the lower fertility sites, suggesting that the lower fertility sites may require nutrient amendment at an earlier stage to ensure optimal productivity over multiple rotations.
Implications
Recommendations
![]()
|