Estimating spatial distribution and density of vocalizing marine animals using compact arrays

Area of Science:

• Marine bioacoustics
• Animal population estimation
• Acoustic signal processing

Background:

• Estimating spatial distribution and density of marine animals is crucial for conservation.
• Traditional methods often face challenges in accuracy and coverage.
• Acoustic monitoring offers a non-invasive approach to studying marine life.

Purpose of the Study:

• To develop and evaluate a novel technique for estimating the spatial distribution and density of vocalizing marine animals.
• To present statistically optimal detection and estimation algorithms for acoustic data.
• To demonstrate the practical application of the method in a real-world case study.

Main Methods:

• Utilized a fixed compact array of synchronized hydrophones.
• Developed and applied statistically optimal detection and estimation algorithms.
• Performed analytical evaluations and statistical simulations to assess performance.
• Conducted a case study in the St. Lawrence Estuary using beluga whale vocalizations.

Main Results:

• Presented closed-form representations for practical algorithms.
• Evaluated the performance of the proposed technique analytically and through simulations.
• Successfully identified an area of high residency for beluga whales.
• Estimated the density of vocalizing beluga whales in the study area.

Conclusions:

• The proposed hydrophone array and algorithmic approach provide an effective means for estimating marine animal distribution and density.
• The technique offers advantages in accuracy and data processing for acoustic monitoring.
• Further research will refine the method and explore its broader applicability.