Culturally Informed Fire

Start Date
2023
End Date
2026
Investment Value
AUD $4.5m
Program Manager
Quinton Clasen
Location
Western Australia

Introducing Culturally Informed Fire to existing prescribed burning practices across Western Australia utilising the NRM Network

The Culturally Informed Fire program includes Indigenous fire, cultural, and ecological management practices.

Culturally Informed Fire has the potential to contribute to Australia’s carbon reduction targets through carbon emissions abatement by;

  • advancing landscape fire management methods, and
  • sequestering carbon in vegetation and soil by providing the right conditions for land and habitat to regenerate.

A key outcome of the program will be to expand community and Ranger preparedness and build capacity in Emergency Management Services.​
In summary, the Culturally Informed Fire program will see the following benefits:

  • Contribution to carbon reduction targets
  • Australian first nation custodians as global leaders in Culturally Informed Fire.
  • Commonwealth and State collaboration in Emergency Management.
  • Contributions to prescribed burning programs, and
  • Environmental and ecological outcomes.

The investment opportunity

APC are expanding this program, implementing it across the state of Western Australia over a three-year period.

Once funded, next steps include a three phase roll out, as follows:

  • Phase 1: Project establishment and program design.
  • Phase 2: Implementation of foundational projects.
  • Phase 3: Deliver 2-year program of works.

Return on investment

The aim of the program is to increase value for community and stakeholders through shared:

  • Carbon reduction accounting,
  • Biodiversity certificates,
  • Climate risk mitigation,
  • ESG offsets, and
  • Social investment in cultural development.

APC are seeking investors to support the Culturally Informed Fire program. The minimum buy-in for the program is $150,000 up to $4.5m, until fully funded.

To invest in the Culturally Informed Fire program