Ant species were reported to have specific vertical distribution in high mountains in Korea. The vertical distribution was recognized in Hanla mountain being highest in South Korea using pitfall traps in 2006. This phenomena suggests that temperature may be a main factor for distribution of ant species, since 0.5~0.6℃ of temperature decrease per each 100 m of altitude. The present study was carried out to test this hypothesis. Ant communities were surveyed using pitfall traps (ten traps per each site) at 234 sites, which included 9 high mountains in South Korea. The vertical distribution of ant species were found in all the high mountains. Abundance data (probability of occurrence, %) of seventeen abundant ant species which occurred at more than 10% of the study sites were analyzed using multiples regression analysis with four independent factors such as temperature, precipitation, light intensity, and NDVI. As results of the regression analysis, temperature was most important in determining the abundance in 11 of 17 species. Light intensity was most important in 3 species, and precipitation in 1 species. In the 11 species being highly dependent on temperature, determination index (R2) of regression model with one factor of temperature was approximately 90% of determination index of the regression model with all four factors. On the base of dependence on temperature and of ecological characteristics (ground foraging), six species such as Paratrechina flavipes, Myrmica kotokui, Pachycondyla javana, Pristomyrmex pungens, Camponotus atrox, and Crematogaster osakensis were selected as bioindicator for global warming. In the bioindicator ant species, M. kotokui and C. atrox were predicted to decline in abundance and distribution in Korean peninsula as temperature increases, whereas other four species including P. flavipes, P. javana, P. pungens, C. osakensis were predicted to increase. Temperature-Distribution models were established in four most temperature-responsive species including P. flavipes, P. javana, P. pungens, and M. kotokui, and distribution maps of the species were made from the model. Reversely, temperature was estimated from ant data of five bioindicator species using regression model, of which R2 is 0.66.