Insects reflect climate change dramatically because insects are poikilotherm and have huge biodiversity. Also, the prediction of insect distribution is very significant due to the position of this group giving diverse ecological services including their extraordinary economic importance. Accurate modeling of geographic distributions of insect species is crucial to various applications in ecology and conservation. The best performing techniques often require some parameter tuning, which may be prohibitively time-consuming to do separately for each species, or unreliable for small or biased data sets. The purpose of this study is to introduce and compare several models to predict insect distribution under climate change in Korea. This work would be helpful to researchers or decision makers by giving practical advice, for example, kinds of input/output data, applicability to GIS, to select appropriate model to predict insect distribution.

• Hyoung-ho Mo(Institute of Life Science and Natural Resources, Korea University)
• Jung-Joon Park(Dept. Appl. Biol., Inst. Agric. Life Sci., Gyeongsang National University)
• Doo-Hyung Lee(Department of Life Sciences, Gachon University, Seongnam-si, Kyeonggi-do, Korea)
• Kijong Cho(Division of Environmental Science & Ecological Engineering, Korea University)