Acoustic Complexity Index (ACI)

AUS-TDG-CON-ACI General High confidence

Benchmark Value

No specific value — see range
Range: 132.8 to 134.9 index
Optimal Range: 132.8 to 134.9
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

"private (133.8, range of 132.8 – 134.9)"

Metric Definition:

Above-ground acoustic complexity calculated as the mean of the 95th percentile daily ACI values for privately owned land parcels.

Benchmark Definition:

Highly realistic, operational above-ground target for private landholders managing woodland remnants for biodiversity conservation adjacent to public reserves.

Justification:

Establishes a highly realistic, operational above-ground target for private landholders managing woodland remnants for biodiversity conservation adjacent to public reserves.

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

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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

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