Scientists can use acoustic monitoring technologies, such as underwater microphones (hydrophones) and terrestrial audio recorders, to track animals by capturing the sounds they produce. By analyzing these audio recordings with specialized software, researchers can identify species, monitor behaviors, and even map movements based on vocalizations. Additionally, machine learning algorithms can enhance sound classification and detection, allowing for more efficient data analysis. This approach is particularly useful for studying elusive or endangered species in their natural habitats.
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