Identifying, validating and scaling up ecologically-robust and cost-effective monitoring methods and biodiversity metrics to support a Nature Repair Market

We will build new datasets using novel field-based survey approaches including mult-spectral drone-imagery, passive acoustic recorders, and eDNA that will be deployed alongside existing conventional field survey methods in endangered temperate woodlands across a range of representative survey sites in eastern Australia. To best support a Nature Repair Market, we will identify scalable, ecologically-robust and cost-effective, monitoring methods. Further, for the first time, we will compare and calibrate new datasets collected in this project with previously gathered long-term (24-40 year) time series datasets from the same sites. Such calibration is crucial to build on the value time series biodiversity datasets collected in Australia in the past. Calibration is essential to ensure that the integrity of time series data will not be breached when new and different data collection methods are integrated.