Journal of the Korean Association of Geographic Information Studies (한국지리정보학회지)

The Korean Association of Geographic Information Studies (한국지리정보학회)
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Assessment of the Distributional Probability for Evergreen Broad-Leaved Forests(EBLFs) Using a Logistic Regression Model

로지스틱 회귀모형을 이용한 상록활엽수림 생육분포 확률 평가

  • YOO, Byung-Oh (Southern Forest Resources Research Center, National Institute of Forest Science) ;
  • PARK, Joon-Hyung (Southern Forest Resources Research Center, National Institute of Forest Science) ;
  • PARK, Yong-Bae (Southern Forest Resources Research Center, National Institute of Forest Science) ;
  • JUNG, Su-Young (Southern Forest Resources Research Center, National Institute of Forest Science) ;
  • LEE, Kwang-Soo (Southern Forest Resources Research Center, National Institute of Forest Science)
  • 유병오 (국립산림과학원 남부산림자원연구소) ;
  • 박준형 (국립산림과학원 남부산림자원연구소) ;
  • 박용배 (국립산림과학원 남부산림자원연구소) ;
  • 정수영 (국립산림과학원 남부산림자원연구소) ;
  • 이광수 (국립산림과학원 남부산림자원연구소)
  • Received : 2016.02.10
  • Accepted : 2016.03.22
  • Published : 2016.03.31
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Abstract

This study was carried out to assess the distributional probability for Evergreen Broad-Leaved Forests(EBLFs) using the field data and digital climate data that were occurred during the period of 1980 to 2010. For the validation of logistic regression model, the probabilistic value ranged from 33 to 84%, especially the probabilistic value of growing distribution becomes lower patterns with higher altitude. In addition, it has been estimated that the probabilistic value of growing distribution is the highest with 63~83% among the regional units in temperate/warm-temperate forests.

본 연구에서는 30년간의 전자기후자료와 현지조사자료를 활용하여 로지스틱 회귀모형을 이용한 상록활엽수림의 생육분포 확률을 평가하였다. 로지스틱 회귀모형에 의한 생육분포 확률은 33~84% 범위를 보이고 있는데 특히, 고도가 높아질수록 생육분포 확률은 낮아지는 패턴을 보이고 있다. 아울러 온 난대림육성권역에서 생육분포 확률이 63~83%로 가장 높은 것으로 추정되었다.

Keywords

References

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