Environmental influence on the spatial abundance of tiger prey monitored using camera traps in Thap Lan and Pang Sida National Parks, Thailand

BENCHAWAN MEEAMNART (Department of Forest Biology, Faculty of Forestry, Kasetsart University. 50 Ngam Wong Wan Rd., Lat Yao Chatuchak 10900, Bangkok, Thailand)
SOMPORN PAKPIAN (Dong Prayayen-Khao Yai Wildlife Research Station, Department of National Parks, Wildlife and Plant Conservation. Thai Samakkhi, Wang Nam Khiao 30370, Nakhon Ratchasima, Thailand)
JIRASAK KHONGMUEANG (Dong Prayayen-Khao Yai Wildlife Research Station, Department of National Parks, Wildlife and Plant Conservation. Thai Samakkhi, Wang Nam Khiao 30370, Nakhon Ratchasima, Thailand)
PAKON KAMSUDSANG (Dong Prayayen-Khao Yai Wildlife Research Station, Department of National Parks, Wildlife and Plant Conservation. Thai Samakkhi, Wang Nam Khiao 30370, Nakhon Ratchasima, Thailand)
PAANWARIS PAANSRI (Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University. Blacksburg, Virginia 24061, United States)
PRATEEP DUENGKAE (Department of Forest Biology, Faculty of Forestry, Kasetsart University. 50 Ngam Wong Wan Rd., Lat Yao Chatuchak 10900, Bangkok, Thailand)
WARONG SUKSAVATE (Department of Forest Biology, Faculty of Forestry, Kasetsart University. 50 Ngam Wong Wan Rd., Lat Yao Chatuchak 10900, Bangkok, Thailand)

Biodiversitas Journal of Biological Diversity
Vol. 26 No. 3 (2025)

Abstract. Meeamnart B, Pakpian S, Khongmueang J, Kamsudsang P, Paansri P, Duengkae P, Suksavate W. 2025. Environmental influence on the spatial abundance of tiger prey monitored using camera traps in Thap Lan and Pang Sida National Parks, Thailand. Biodiversitas 26: 1500-1511. The decline in prey populations within the Dong Phayayen-Khao Yai Forest Complex (DPKY), Thailand, has likely contributed to the local extinction of tigers, raising urgent concerns about the future of this iconic species in the region. Environmental factors play a crucial role in the fluctuations in prey densities. This study estimated the spatial density of five key tiger prey species (gaur, banteng, sambar deer, muntjac, and wild boar) using the Random Encounter and Staying Time (REST) and Royle-Nichols (RN) occupancy models. The REST model produced density estimates of 1.05±0.35, 0.01±0.11, 0.62±0.79, 1.10±0.49, and 1.46±0.38 individuals/km² for gaur, banteng, sambar deer, muntjac, and wild boar, respectively. The RN model yielded slightly higher estimates: 1.51±1.26, 0.05±0.14, 0.82±0.58, 2.62±1.25, and 3.06±1.74 individuals/km². These findings highlight the significant influence of variables like vegetation cover, proximity to human settlements, elevation, and salt licks on prey abundance and distribution, with muntjac and wild boar consistently showing higher densities than other species. This spatial modeling approach provides a novel framework for predicting animal density, which can inform conservation and management strategies for tiger prey populations in DPKY, thereby aiding in tigers' persistence within these protected areas.