Acoustic Complexity Index (ACI)

AUS-TDG-CON-ACI General High confidence

Benchmark Value

No specific value — see range
Range: 130.5 to 137 index
Optimal Range: 130.5 to 137
Direction: Higher is desirable ↑
Form: OptimalRange

Scoring Curve

This curve shows how a field measurement for this indicator would score across all available benchmark forms in this context.

Evidence & Context

"Grassy Woodland | 133.7 | 130.5 – 137.0"

Metric Definition:

Above-ground acoustic complexity calculated as the mean of the 95th percentile daily ACI values (mono channel recordings) across 10-minute blocks using standard soundscape analysis software.

Benchmark Definition:

Baseline reference above-ground ACI range for undisturbed grassy woodlands within a designated conservation reserve in Victoria.

Justification:

Represents the baseline reference above-ground ACI range for undisturbed grassy woodlands within a designated conservation reserve in Victoria, aligning directly with the target biome and land-use context.

Sources (1)

Preview of A REPORT ON A COMMUNITY PARTNERSHIP IN ECO-ACOUSTIC MONITORING IN MOUNT WORTH STATE PARK, VICTORIA, accessed May 14, 2026,
A REPORT ON A COMMUNITY PARTNERSHIP IN ECO-ACOUSTIC MONITORING IN MOUNT WORTH STATE PARK, VICTORIA, accessed May 14, 2026, Journal

A Report on a Community Partnership in Eco-Acoustic Monitoring in Brisbane Ranges

View Source

Supporting Sources (1)

Additional references from the underlying research that informed this benchmark.

Preview of Ulloa, N., et al., 2021. scikit-maad: An open-source and modular toolbox for quantitative soundscape analysis in Python. Methods in Ecology and Evolution, 12(12).
Ulloa, N., et al., 2021. scikit-maad: An open-source and modular toolbox for quantitative soundscape analysis in Python. Methods in Ecology and Evolution, 12(12).
Direct Evidence GreyLiterature

Five Rivers Reserve (70) – Australian Acoustic Observatory

View Source