Our Approach

Testing whether acoustic indices can serve as community-level screening tools using ESONS data as our validation framework.

Proof-of-Concept Study Design

Using May River ESONS data to validate acoustic indices effectiveness

Traditional ESONS Approach

Expert listens to 2-minute sample
Identifies species and calling intensity (0-3 scale)
Documents patterns across time and stations

Our Acoustic Indices Addition

Computer calculates 56 sound characteristics
Identifies patterns indicating community activity
Flags periods for expert review

Validation approach: We use existing expert manual detections as "ground truth" to test whether acoustic indices can identify the same patterns that experienced listeners detect.

Study Scope & Data

STATIONS
3
May River sites
TIME PERIOD
1
Year (2021)
SPECIES
15+
Detected
INDICES
56
Acoustic
ENVIRONMENTAL
2
Temp, Depth
SAMPLES
8.7K
2-hour periods

Study Area: May River ESONS Stations

Three hydrophone monitoring stations (9M, 14M, 37M) providing diverse estuarine habitats for validation

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Current Study Stations (3)
Regional Context Stations (9)

Why May River? This system provides an ideal test case with established fish communities, diverse acoustic environments, and high-quality manual detection data from the Montie Lab's ongoing ESONS monitoring.

The Data: Expert Detections vs. Acoustic Indices

Ground Truth: Expert Manual Detections

ESONS protocol manual analysis showing when and where fish were actually calling

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Acoustic Indices: Automated Sound Analysis

56 indices capturing different aspects of underwater soundscape characteristics

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Environmental Context

Temperature and depth patterns that influence fish calling behavior

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Can acoustic indices identify the same biological patterns that expert listeners detect?

Our validation compares acoustic index patterns against expert manual detections to test whether automated approaches can serve as effective community-level screening tools.

See What We Found