Journal of Korean Society of Forest Science (한국산림과학회지)

Korean Society of Forest Science (한국산림과학회)
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Classification of Regional Types for Pinus densiflora stands Using Height-DBH Growth in Korea

우리나라 소나무림의 수고-흉고직경 생장에 따른 지역형 분류

  • Park, Joon Hyung (Southern Forest Resources Research Center, Naional Institute of Forest Science) ;
  • Jung, Su Young (Southern Forest Resources Research Center, Naional Institute of Forest Science) ;
  • Lee, Kwang Soo (Southern Forest Resources Research Center, Naional Institute of Forest Science) ;
  • Kim, Chang Hwan (Southern Forest Resources Research Center, Naional Institute of Forest Science) ;
  • Park, Yong Bae (Southern Forest Resources Research Center, Naional Institute of Forest Science) ;
  • Yoo, Byung Oh (Southern Forest Resources Research Center, Naional Institute of Forest Science)
  • 박준형 (국립산림과학원 남부산림자원연구소) ;
  • 정수영 (국립산림과학원 남부산림자원연구소) ;
  • 이광수 (국립산림과학원 남부산림자원연구소) ;
  • 김창환 (국립산림과학원 남부산림자원연구소) ;
  • 박용배 (국립산림과학원 남부산림자원연구소) ;
  • 유병오 (국립산림과학원 남부산림자원연구소)
  • Received : 2016.04.25
  • Accepted : 2016.06.27
  • Published : 2016.09.30
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Abstract

The object of this study was to classify the local types in relation to regional differences using Height-DBH growth of Pinus densiflora in Korea. The regional types were clustered according to Getis-Ord's $G_i$ among Local indicators of spatial association (LISA) by characteristics of spatial distribution which were calculated the residual of sample plots by fitting Height-DBH growth model using Weibull growth equation. Accordingly, Pinus densiflora were classified 3 groups, It indicated that annual precipitation had one of the biggest impacts among the considered site and climate factors. This results can become the standard for regional management of Pinus densiflora forests.

본 연구에서는 소나무의 수고-흉고직경 생장의 관계를 이용하여 지역적인 차이에 따른 우리나라 소나무의 지역형을 구분하고자 하였다. Weibull 생장식을 이용하여 추정한 수고-흉고직경 생장모델을 기준으로 각 표준지의 잔차를 산출하였으며, 추출된 잔차의 공간적 분포 특성에 따라 공간 연관성 지표(Local indicators of spatial association; LISA) 중 Getis-Ord의 $G_i$를 이용하여 군집을 분류하였다. 그 결과로부터 우리나라 소나무는 총 3개 그룹으로 분류되었으며, 분류된 그룹에 영향을 미치는 입지인자와 기후인자 중 연강수량의 영향이 가장 큰 것으로 나타났다. 본 연구의 결과는 우리나라 소나무림의 지역적인 경영 관리를 위한 참고자료로 활용될 수 있을 것으로 판단된다.

Keywords

References

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