Acoustic monitoring technology is increasingly being used to assess wildlife welfare, detect disturbance impacts and monitor population health using bioacoustic data.
Acoustic monitoring offers a non-invasive window into wildlife welfare that is particularly valuable for species that are difficult to observe directly. Cetacean stress vocalisation patterns, changes in song complexity in birds under pollution stress, and reduction in acoustic diversity indicating ecosystem degradation all provide welfare-relevant information without the disturbance of direct observation or capture. As AI analysis of acoustic data becomes more accessible, the potential for continuous, large-scale wildlife welfare monitoring increases. This technology could enable real-time welfare assessment around offshore wind farms, shipping lanes, urban development and other human activities, providing evidence for adaptive management decisions that reduce suffering.