On a rapidly changing planet, there are many ways to measure the health of an ecosystem. Can sound be one of them?
In today's episode, NPR Short Wave reporter Emily Kwong dives into a new methodology that applies machine learning technology to audio soundscape recordings. Lead researcher Sarab Sethi explains how this method could be used to predict ecosystem health around the world and detect anomalous sounds caused by human action, from logging to poaching to the ecological impacts of climate change.
Read the full paper here: "Characterizing soundscapes across diverse ecosystems using universal acoustic feature set," PNAS July 21, 2020 117 (29) 17049-17055; first published July 7, 2020
You can listen to audio from the SAFE Acoustics Project in the rainforest in Borneo at acoustics.safeproject.net.
Email the show at shortwave@npr.org.
This episode was produced by Abby Wendle, edited by Viet Le and fact-checked by Emily Kwong.
"sound" - Google News
August 26, 2020 at 03:00PM
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Scientist Develops Method For Monitoring Ecosystem Health Through Sound : Short Wave - NPR
"sound" - Google News
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