Earticle

현재 위치 Home

Identification index of wildlife for camera trapping analysis

첫 페이지 보기
  • 발행기관
    강원대학교 산림과학연구소 바로가기
  • 간행물
    강원대학교 산림과학연구소 학술대회 바로가기
  • 통권
    KNU IFS 2018 Annual International Symposium of Institute of Forest Science (2018.09)바로가기
  • 페이지
    pp.87-87
  • 저자
    Han Ul, Kim, Ki Yoon, Kim, Sang Jin Lim, Yung Chul Park
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A450199

원문정보

초록

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.

키워드

Camera-trapping Mammals Identification index Data analysis

저자

  • Han Ul, Kim [ Division of Forest Science, College of Forest and Environmental Sciences, Kangwon National University, Republic of Korea ]
  • Ki Yoon, Kim [ Division of Forest Science, College of Forest and Environmental Sciences, Kangwon National University, Republic of Korea ]
  • Sang Jin Lim [ Division of Forest Science, College of Forest and Environmental Sciences, Kangwon National University, Republic of Korea ]
  • Yung Chul Park [ Division of Forest Science, College of Forest and Environmental Sciences, Kangwon National University, Republic of Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    강원대학교 산림과학연구소 [Institute of Forest Science Kangwon National University]
  • 설립연도
    1975
  • 분야
    농수해양>임학
  • 소개
    강원대학교부설산림과학연구소(이하 “연구소”라 한다)는 산림에 관한 제반 학술적 연구를 통하여 산림자원의 효용을 밝히고 임업 및 임산업의 발전에 기여함을 목적으로 한다.

간행물

  • 간행물명
    강원대학교 산림과학연구소 학술대회
  • 간기
    부정기
  • 수록기간
    2017~2024
  • 십진분류
    KDC 526 DDC 634

이 권호 내 다른 논문 / 강원대학교 산림과학연구소 학술대회 KNU IFS 2018 Annual International Symposium of Institute of Forest Science

    피인용수 : 0건 (자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      출처 : 네이버학술정보

        0개의 논문이 장바구니에 담겼습니다.

        페이지 저장
        소속기관 조회
        이용자님의 소속기관(단체)이 서비스에 가입되어 있는지 확인해 보십시오.
        기관회원에 소속되어 있는 이용자는 원문을 무료로 이용할 수 있습니다.