Using data from flies collected with pitfall traps in 365 forests on a nationwide scale in Korea, the abundance and distribution changes of two families (Phoridae and Lauxaniidae) in Korean forests were predicted at the genus level according to two climate change scenarios: RCP 4.5 and RCP 8.5. The most suitable temperature for the 17 major genera was estimated using a weighted average regression model. Stichillus and Anevrina displayed the lowest optimum temperature with 7.6℃ and 8.5℃ in annual mean temperature, respectively, whereas Chonocephalus had the highest optimum temperature with 12.1℃. Among thirty genera, seven genera (four from Phoridae and three from Lauxaniidae), which showed their abundance in a bell-type or linear pattern along the temperature gradient, were used for predicting the distribution changes according to the future climate change scenarios. All the taxa of this study are expected to decrease in abundance and distribution as a function of temperature increase. Moreover, cold-adapted taxa were found to be more affected than warmadapted taxa.

Abstract
INTRODUCTION
MATERIALS AND METHODS
    1. Sampling sites and taxonomic identification
    2. Temperature data
    3. Modeling procedure
RESULTS AND DISCUSSION
    1. Temperature range of flies
    2. Prediction of distribution change
REFERENCES

• Tae-Sung Kwon(Alpha Insect Diversity Lab)
• Cheol Min Lee(California Department of Food and Agriculture)
• Okyoung Jie(Korea Fly Laboratory)
• Sung-Soo Kim(Research Institute for East Asian Environment and Biology)
• Sungcheol Jung(Division of Forest Ecology and Climate Change, National Institute of Forest Science)
• Young-Seuk Park(Department of Biology, Kyung Hee University) Corresponding author