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영어

Camera trapping (CT) is one of the methods to survey wildlife. This method is used for monitoring nocturnal mammals, which cannot be seen directly, and for the use of habitats and identification of terrestrial mammals. However, there are many identification errors in results of data analysis because of no criteria in analysis of camera trapping data and lack of researcher's experience. Our purpose of this study is to make an identification index. This study used 6,746 pictures, which wildlife is included, of 27,061 pictures taken from 21 cameras installed in the Jangsudae, Seoraksan National Park during the period of May 2016 to July 2017. After production of index, the error rate was derived through the verification of expert who have experience above 5 years in the field of wildlife ecology. After the index applied, total error rate was 1.2% in detail, 2.1% in water deer and 1.8% in Roe deer. To verify usefulness of identification index, we analysis another CT data which include four species of Roe deer (Capreolus pygargus), Water deer (Hydropotes inermis), Badger (Meles meles) and Raccoon dog (Nyctereutes procyonoides which are most confusing species to identify. In additional analysis, we used 3,549 photos which wildlife is included, of 93,287 photos from 75 cameras installed in Osaek, Seoraksan National Park from November 2015 to July 2016. In the case of further analysis, average error rate was 0.3% in 4 species, and the error rates were 0% in Water deer, 1.2% in Roe deer, 0% in Raccoon dog, and 0.6% in Badger. Identification idex what we made will contribute to the study of mammals using camera trapping.