Poster presentation 12th International Mammalogical Congress

Site selection for musk deer monitoring based on similarity analysis (#716)

Jeong wook Ha 1 , Sung-yong Han 2 , Hee nam Yoon 1 , Seong-Joon Park 1 , Jongchul Park 1
  1. National Institute of Ecology, Maseo-myeon, Seocheon-Gun, South Korea
  2. Korean Otter Research Center, Gandong-myon, Hwacheon-gun, South Korea

Musk deer (Moschus moschiferus) are endangered by anthropogenic threats and they are included in CITES appendix II. They are very rarely observed in the mountainous region of the northeastern part of Korea. This study attempted to find sites similar to those in which they had appeared to determine monitoring sites for musk deer. For this, similarity analysis and spatial analysis of GIS were used. The study area is Hwacheon-gun and Inje-gun located in the northeastern part of Korea. The spatial unit of analysis is a 5 × 5 km regular grid and the study area consists of 138 grids. Twenty-five points where musk deer were observed were used to define the environment in which they were observed and to determine similar areas. Thirteen points were used for the experiment and twelve points were used for the verification. The similarity analysis method was Minkowski Distance(MD), and 12 factors of three categories such as climate, terrain, and land cover were used as environmental factors in MD analysis. In the results, the mean, maximum, minimum, and standard deviation of MD at the grid where musk deer appeared was 56.3, 69.1, 19.4, and 17.4, respectively. The probability of detection of musk deer was divided into five stages: a) MD <= 20: very high; b) 20 < MD <= 40: high; c) 40 < MD <= 60: medium; d) 60 < MD <= 80: low; e) 80 < MD: very low. The monitoring sites were selected as clustered areas with high probability grids.