This project is located North East of Bourke in NSW in the Mulga Lands bioregion. The land consists of flats and floodplains, and slightly undulating plains and sandy ridgesThe dominant species observed on the property from field surveys include Eremophila sturtii, Dodonaea viscosa, Eremophila mitchellii, Acacia aneura, Acacia harpophylla and Eucalyptus populnea.

The objective of this project is to regenerate natural woodlands and shrublands.  This is achieved by controlled grazing and feral animal management across the project area including fencing upgrades and water management. In addition to sequestering carbon, regeneration of native vegetation in the project area reverses land degradation caused by feral goats and livestock and stabilises soils reducing erosion.

The Project (ERF121095) was declared project under the ‘Human Induced Regeneration of a Permanent Even-Aged Forest 1.1’ methodology (2013 c3) (the Determination) and generates Australian Carbon Credit Units (ACCUs).  This is the fifth version of the Human Induced Regeneration methodology.

The project has issued Kyoto ACCUs in accordance with the date the carbon sequestration occurred. Kyoto ACCUs are issued for all carbon sequestration which has occurred after 14 May 2013 and non-Kyoto ACCUs are issued for carbon sequestration that occurred prior to this date.

HIR project Carbon Estimation Areas

What are Carbon Estimation Areas?

A CEA is an area of land within a project area where the project activity or activities are being carried out to sequester carbon (for example, the cessation of mechanical or chemical clearing or management of timing and extent of grazing to enable regeneration of vegetation to forest) and for which ACCUs can be credited^[4].

These are the areas where project activities occur and where carbon abatement will be modelled applying standardised estimation formulae approved by the Clean Energy Regulator.  There can be one or many CEAs on a Project Area.

Each CEA must contain areas of eligible land greater than 0.2ha in size in which the project activities are implemented and which have started to become native forest through regeneration.

• Eligible Land is land that didn’t have forest cover during the baseline period (ie. the 10 years before project commencement) and which has been used or managed in a way that suppresses development of forest cover.
• A particular area of land has Forest cover if the land has an area of at least 0.2 of a hectare and has trees that are 2 metres or more in height and provide crown cover of at least 20% of the land.

Stratification of Darling River Eco Corridor 34 HIR Project Area into CEAs

Stratification is the process of “demarcating the boundaries of CEAs from ineligible and non-implementation areas within a project area”^[5].

There are Guidelines setting out how Project Areas are stratified into CEAs.  These include rules about evidence, stratification and record keeping to support the requirements in the CFI Rule 2015 (2018 and 2019 Amendments) including key method eligibility requirements.

Stratification of the Darling River Eco Corridor 34 HIR Project was carried out in accordance with the Determination and first reported to the Clean Energy Regulator for a reporting period ending 31 December 2018.^[6].

A summary of the stratification of the Darling River Eco Corridor 34 HIR Project is set out below:

This map shows the project area boundary and the different elements of project design including the carbon estimation areas and exclusion areas.  This stratification may reflect both initial stratification and subsequent revisions.

In order to validate the stratification of the Darling River Eco Corridor 34 HIR project in accordance with the Determination and Guidelines, GreenCollar carried out extensive field surveys and data collection. This included collection of data on existing vegetation species, stem density and vegetation height.

This map shows the points within the project area where ground truth surveys were conducted as part of the stratification process.

A Ground Truth Waypoint is a randomly allocated point within the project area where sampling data is collected.

The Guidelines also require a map accuracy assessment be completed before offset reporting.  This assessment must include the field sample plots, which can be used in conjunction with remote sensing samples.  The Clean Energy Regulator will accept mapping accuracies at or above 85 per cent for pre-existing forest and forest potential classification types.  The overall accuracy of the Darling River Eco Corridor 34 classification was 86% which is greater than the 85% minimum requirement of The Guidelines.

After the completion of the map accuracy assessment, any additional exclusion areas were delineated prior to finalising the initial stratification. The extent of exclusion areas (totalling 19,009 ha), comprised of pre-existing forest cover (10,340 ha) and areas which classified as having no forest potential (8,555 ha). Through this process a final eligible CEA area of 4,236 ha was confirmed.

This maps shows a current satellite image of the project area.  Satellite imagery and remote sensing datasets were used to identify eligible land and exclusion areas.

This map shows a summary of all CEA and Exclusion Areas.

Project Sequestration and Abatement

This version of the HIR Methodology requires using the Full Carbon Accounting Model (FullCAM) to determine the sequestration of carbon stocks and emissions required to calculate the net abatement amount for each reporting period. The carbon dioxide equivalent net abatement amount in relation to a reporting period for the project is taken to be the change in carbon stock for the project area less the project emissions. Any carbon stock that accumulated by the crediting start date for the project is calculated as the initial carbon stock and is removed from the calculation of abatement as the proponent is not entitled to credits for it.

See below for the average per hectare sequestration for the Darling River Eco Corridor 34 HIR project.

Implementation & Monitoring

The activities for the project are:

• the management of the timing & extent of grazing, and
• the management, in a humane way, of feral animals

Since project commencement these activities have been undertaken across the project area to assist the regeneration of native forest in attaining forest cover. Once the initial offsets report has been completed, GreenCollar works closely with the landholder of the project property to collect land management information every quarter. This is reviewed and reported on in each offsets report.

A summary of monitoring activities and evidence collection undertaken on this project is set out below:

• Evidence collection in relation to grazing and herd management
• Evidence collection in relation to removal and reduction of feral animals
• Evidence of fire management activities
• Evidence collection from landholder as to other land management activities as relevant
• Change detection assessments
• Repeat biomass inventory surveys to track biomass change of regenerating vegetation
• Daily fire hotspot monitoring and review of Seasonal Fire Risk
• Review of SPEI drought index
• Regeneration Gateway Checks

These surveys are currently not required under the HIR method but are implemented by GreenCollar to provide additional assurance that biophysical threats to carbon stores such as grazing, drought and fire are not negatively impacting the regeneration and to track progress of regeneration of the native forest. In addition, the data collected is utilised for broader research purposes.

Regeneration Checks

The Guidelines require that Proponents must provide regeneration checks at least once every five years from the start of the project’s last or only crediting period until CEAs pass their forest cover assessment date^[7], and upon request by the Clean Energy Regulator.

Darling River Eco Corridor 34 HIR Project is set out below:

The process and methodology includes one or more of the three evidence requirements and reporting:

• Evidence level 1: Change detection analysis, or
• Evidence level 2: Remote sensing analysis and/or
• Evidence level 3: Field data; and
• Reporting

Project Area Files

GIS shapefiles for the project can be downloaded here. These files detail the project stratification including the carbon estimation areas and exclusion areas.