Carbon Pulse: Sounding out solutions – acoustics a frontrunner for measuring ecosystem health in new biodiversity credit mechanisms

Using acoustic monitoring devices to collect data about ecosystem health based on the sounds of different animals living in an area is a powerful and cost-effective way of measuring biodiversity and should be one of the primary data collection methods in new biodiversity crediting systems, say industry sources.

Placing small acoustic devices across isolated points in a landscape allows ecologists to record the multitude of sounds of the many animals living there, which they can then feed into AI models to automatically detect where and when particular species are occurring across an entire dataset using their specific acoustic signatures.

Rainforest Connection has been building AI models of biodiversity hotspots around the world using bio-acoustic data and makes its datasets publicly accessible through its online cloud-based platform Arbimon (Automated Remote Biodiversity Monitoring Network).

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