Awano Hiromitsu, Shirasaka Masahiro, Mizumoto Takeshi, Okuno Hiroshi G, Aihara Ikkyu
Graduate School of Information Science and Technology, Osaka University, Suita, Japan.
Graduate School of Informatics, Kyoto University, Kyoto, Japan.
J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2021 Jan;207(1):87-98. doi: 10.1007/s00359-021-01463-9. Epub 2021 Jan 22.
We developed a sound discrimination device to identify and localize the species of nocturnal animals in their natural habitat. The sound discrimination device is equipped with a microphone, a light-emitting diode, and a band-pass filter. By tuning the center frequency of the filter to include a dominant frequency of the calls of a focal species, we enable the device to be illuminated only when detecting the calls of the focal species. In experiments in a laboratory room, we tuned the sound discrimination devices to detect the calls of Hyla japonica or Rhacophorus schlegelii and broadcast the frog calls from loudspeakers. By analyzing the illumination pattern of the devices, we successfully identified and localized the two kinds of sound sources. Next, we placed the sound discrimination devices in a field site where actual male frogs (H. japonica and R. schlegelii) produced sounds. The analysis of the illumination pattern demonstrates the efficacy of the developed devices in a natural environment and also enables us to extract pairs of male frogs that significantly overlapped or alternated their calls.
