In the study, a variation of Haemaphysalis longicornis, a major vector of fever-causing conditions, was statistically analyzed to identify the spatial and climatic factors affecting the time-dependent variations of its population. The survey occurred in different habitats in South Korea. In addition, we developed a predictive model by using a probability function to find the peak occurrence time annually. As a result, the numbers of adults and nymphs were found to be related to temperature and relative humidity and their population peaked at the end of May in all habitats except deciduous forests. This study is expected to provide information on habitat types, times, and climate patterns that require attention to help control H. longicornis populations.

• Sumin Oh(Department of Applied Biology, Chungnam National University, Korea)
• Sunhee Yoon(Department of Smart Agriculture Systems, Chungnam National University, Korea)
• Jae-Min Jung(Department of Biosystems Machinery Engineering, Korea)
• Jongmin Bae(Department of Smart Agriculture Systems, Chungnam National University, Korea)
• Hye-Min Byun(Department of Smart Agriculture Systems, Chungnam National University, Korea)
• Subin Choi(Department of Applied Biology, Chungnam National University, Korea)
• Geunho Jang(Department of Smart Agriculture Systems, Chungnam National University, Korea)
• Minjoon Kang(Department of Smart Agriculture Systems, Chungnam National University, Korea)
• Eunji Kim(Department of Smart Agriculture Systems, Chungnam National University, Korea)
• Jaekook Park(Department of Smart Agriculture Systems, Chungnam National University, Korea)
• Keon Mook Seong(Department of Applied Biology, Chungnam National University, Korea)
• Wang-Hee Lee(Department of Smart Agriculture Systems, Chungnam National University, Korea, Department of Biosystems Machinery Engineering, Korea)
• Sunghoon Jung(Department of Applied Biology, Chungnam National University, Korea, Department of Biosystems Machinery Engineering, Korea) Corresponding author