Nantilla Regeneration Project

Nantilla Regeneration Project is a Human-Induced Regeneration project located at Nantilla Station in north-western New South Wales, approximately 78km south of Wanaaring and 145km north of White Cliffs. It was registered in September 2015 and covers an area of 36,578 hectares.

Human-Induced Regeneration projects involve establishing permanent, even-aged native forests by altering land management practices to facilitate natural regrowth. To meet standard methodology requirements, the regenerating native vegetation must have the potential to reach forest cover, which is typically defined as achieving at least 20% crown cover and a height of two meters or more.

The far-west region of NSW surrounding the project is semi-arid, receiving an average annual rainfall of around 270mm. The area has historically been known for extensive pastoralism, specifically cattle and sheep grazing. The regional environment features open country with stony rises, scattered mulga, and creek systems fringed by river red gums, while soils are characterized by fertile grey types heavily concentrated along bimble box flood-out flats.

This project was established to support assisted regeneration from in-situ seed sources, including rootstock and lignotubers, on land that was cleared of vegetation and where regrowth had been suppressed for at least 10 years. The project activities center around the humane management of feral animals and controlling the timing and extent of livestock grazing to allow the forest to recover. Interestingly, the project proponent is the founder of Coorong Apiaries, an enterprise that operates a major commercial beekeeping business alongside managing vast tracts of land for conservation. In mid-2025, Nantilla Station was listed for sale for $8.1 million; the property was marketed on the strength of its lightly stocked carrying capacity and lucrative, registered carbon project. The project also underwent a method variation in June 2023, transitioning to Compilation No. 3 of the 2013 HIR methodology determination.