Yu, Grace Rui-TongGrace Rui-TongYuDejtaradol, AriyaAriyaDejtaradolKarapan, SunateSunateKarapanSoisook, PipatPipatSoisookLee, Chia-YunChia-YunLeeTuanmu, Mao-NingMao-NingTuanmuHON-TSEN YU2025-09-242025-09-242025-01-31https://www.scopus.com/record/display.uri?eid=2-s2.0-105014770556&origin=resultslisthttps://scholars.lib.ntu.edu.tw/handle/123456789/732360We deployed automated bat recorders for one week in the southern part of Peninsular Thailand in an attempt to monitor bat species diversity and activities. Two sites were chosen: one on a forested slope adjacent to urban development, the campus of Prince of Songkla University (PSU), and the other in a natural tropical rainforest, the Hala-Bala Wildlife Sanctuary (Bala). From PSU, we analyzed 9,744 5s time windows of recordings that were obtained from the dry season (June 2023) and the wet season (October 2023); from Bala, we analyzed 4,692 5s time windows in the wet season (October 2023). Among a total of 14,436 time windows, we detected bat acoustic signals in 1986 (13.8 %) representing 10 species of bat: eight species at PSU and six species at Bala. The recordings permitted analyses of diel activity patterns for the four species with the most acoustic records, as well as estimates of relative species abundance in accordance with forest type and season. Our results demonstrate that using automated bat recorders can help unravel bat diversity, activity patterns, and the potential for interspecific interactions. Nonetheless, independent efforts to collect and verify acoustic signals by catching and observing live bats are needed to ensure accurate species identification.enAcoustic signalsautomated recorderbatdiel activity patternhabitat monitorpeninsular Thailand[SDGs]SDG11journal article10.12933/therya-25-6176