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Project A2: Carbon stored in woody vegetation
Project Leader: Dr Kelvin
Montagu (Email)
Research objectives
The principal objective
is to develop techniques to give greater certainty to estimates of carbon
stored in woody vegetation, for both project scale and national scale
carbon accounting. This will be achieved through:
- Improving techniques
for quantifying carbon pools and fluxes in woody biomass occurring below
and aboveground in a range of Australian ecosystems.
- Accounting for
spatial variation in the carbon stored in the root systems of woody
vegetation by developing "rules" to account for factors (age,
environment, species, management) which alter the root:shoot ratio.
- Providing input
into, and develop partnerships with, soil carbon, modelling and remote
sensing groups to continually improve spatial and temporal estimates
of terrestrial carbon stocks and fluxes.
Relevance
Carbon stored in woody
vegetation (forests and woodlands) is subjected to human-induced changes,
both directly, through land use change and management, or indirectly through
climate change. A capacity to measure and predict carbon pools and fluxes
in woody vegetation is important to our ability to understand and manage
the carbon cycle. We need to develop and refine methods for measurement
and prediction of carbon pools and fluxes in woody vegetation so that:
- the impact of
changes in land usage, management or climate on terrestrial carbon pools
and fluxes can be assessed.
- Cost effective
estimates of carbon sequestration rates in reforestation/revegetation
can be made to underpin potential trading of carbon credits.
Up to half the carbon
sequestered in woody biomass can be stored belowground in roots. Measuring
belowground biomass is, however both time consuming and laborious. The
absence of suitable sampling methods for roots of woody vegetation has
hampered our understanding of the factors that determine belowground allocation.
This limits the ability to estimate carbon stored in woody biomass.
Outputs
- Improved estimates
of tree root biomass through improved sampling methodologies and strategies.
- Improved estimates
of above-ground biomass through improved sampling methodologies and
strategies.
- Better spatial
estimates of below-ground biomass through an enhanced understanding
of factors controlling root:shoot ratios.
- Reliable estimates
of decay rates of harvest residues (roots and aboveground debris).
- An initial assessment
of the potential of a number of remote sensing platforms to estimate
above-ground biomass.
- Provide a series
of ground data for major woody ecosystems for model validation and ground-truthing
of remote sensing.
Outcomes
The principal outcome
will be greater certainty in estimates of carbon stored in woody vegetation
for both project scale and national scale carbon accounting.
A2.1
Techniques & sampling strategies for estimating root biomass
The objectives of
this sub-project are to:
- Compare alternative
root sampling strategies and determine the optimum techniques and sampling
design.
- Investigate new
techniques for measuring the biomass of root system (Ground Probing
Radar).
Detailed root sampling,
to characterise horizontal and vertical root distributions, is being undertaken
to develop optimum sampling strategy(s) which can be applied in future
root sampling in WA, NSW and Qld studies. Data from these intensive studies
will allow simulation and comparison of alternative sampling strategies.Ground
Probing Radar (GPR) has the potential to provide a new tool for the non-destructive
sampling of coarse root biomass. However, there is considerable development
work required before GPR can be used for estimating root biomass. Controlled
studies are required to examine issues such as resolution, hardware configuration
and data processing.
A2.2:
Tree biomass partitioning: environmental, species & management variation
The objectives of
this sub-project are to:
- Develop "rules"
to account for factors (age, environment, species, management) which
alter the carbon stored in the root systems of woody vegetation.
- Continue improvement
of techniques for estimating above-ground biomass.
A series of studies
are proposed in woodlands, native forests and plantations. Initial work
will focus on experimental sites where resources have been manipulated
(e.g. nutrition, water, spacing, species). Understanding from such studies
would then be incorporated into spatial stand models. The experimental
phase will then change to testing the predictive power of such models
across landscapes.
A2.3
Decay of harvest residues remaining on site
Knowledge of decay
rates of tree parts left after harvest is essential for carbon accounting
in forests subject to harvest.
This study aims to
characterise the decay rates of slash (remaining above-ground biomass)
and roots following harvesting of common afforestation species in WA (Pinus
pinaster and P. radiata). Both sites subject to partial harvest (thinning)
and complete harvest (clearfelling) will be studied.
A2.4
Remote Sensing of Forest and Woodland Biomass
The objective of this
sub-project is to:
- Develop and evaluate
the potential of remote sensing technologies for providing spatial estimates
of above-ground carbon at project and regional scales.
Two main study areas
have been established for this project. These areas are now used to calibrate
and validate other more coarse optical and active systems (eg. Radar,
Landsat TM) using ultra-high resolution airborne camera and Lidar systems
to sample the forests intensively.
Where
are the field sites?
Two main
study areas have been established. Woodland and forest areas have been
sampled in a 220,000ha study site near Injune, within the southern Brigalow
Belt of central Queensland. At this site, sampling and mapping approaches
at a range of scales have been developed using a wide range of datasets,
for assessment and monitoring of extensive woodland areas.
In the
Hunter region in New South Wales, a high resolution, operational scale
mapping project in commercial forests was undertaken in two NSW State
Forest areas, (Olney and Ourimbah) which total approx 400ha. Here radar,
lidar and hyperspectral data were gathered to assess the feasiblily of
using these types of data on wetter and denser coastal eucalypt forests.
Read
more detailed information on
estimating
forest and woodland biomass
using REMOTE
SENSING


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