Journal of Korean Society of Forest Science (한국산림과학회지)

Korean Society of Forest Science (한국산림과학회)
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Prediction of Mortality and Yield for Chamaecyparis obtusa Using Stand Density Management Diagram

임분밀도관리도를 이용한 편백림의 고사량 및 수확량 예측

  • Park, Joon Hyung (Forest Biomaterials Research Center, National Institute of Forest Science) ;
  • Yoo, Byung Oh (Forest Biomaterials Research Center, National Institute of Forest Science) ;
  • Lee, Kwang Soo (Forest Biomaterials Research Center, National Institute of Forest Science) ;
  • Park, Yong Bae (Forest Biomaterials Research Center, National Institute of Forest Science) ;
  • Kim, Hyung-Ho (Department of Forest Environmental Resources Sciences, Gyeongsang National University) ;
  • Jung, Su Young (Forest Biomaterials Research Center, National Institute of Forest Science)
  • 박준형 (국립산림과학원 산림바이오소재연구소) ;
  • 유병오 (국립산림과학원 산림바이오소재연구소) ;
  • 이광수 (국립산림과학원 산림바이오소재연구소) ;
  • 박용배 (국립산림과학원 산림바이오소재연구소) ;
  • 김형호 (경상대학교 산림환경자원학과) ;
  • 정수영 (국립산림과학원 산림바이오소재연구소)
  • Received : 2018.03.22
  • Accepted : 2018.06.05
  • Published : 2018.06.30
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Abstract

This study aims to make the stand density management diagram which is useful for establishing stand density management system in Chamaecyparis obtusa forest. By using 216 sample plots to estimate Yield-Density relationship ($R^2=0.743$), the stand density management diagram was modeled by the estimated parameters. As a result of this diagram, after planting 3,000 trees per hectare the mortality rate of this unthinned C. obtusa stands over 80 years was estimated to be equal to $12.0{\sim}18.1trees{\cdot}ha^{-1}{\cdot}year^{-1}$, and stand volume was $463.1{\sim}695.4m^3{\cdot}ha^{-1}$, and stand density was $1,555{\sim}2,038trees{\cdot}ha^{-1}$. Developed stand density management diagram for C. obtusa is effective to establish the management criteria and production objective. Therefore, this study allowed us to make the optimal forest working plan.

본 연구는 편백 조림 임분을 대상으로 임분관리 체계 수립을 위해 임분밀도관리도를 개발하였다. 조사 표본점 216 plots을 활용하여 수확량-임분밀도 관계를 추정하였으며($R^2=0.743$), 추정된 모수를 바탕으로 임분밀도관리도를 구축 하였다. 생장을 예측한 결과, ha당 3,000 본 조림 후 80년간 솎아베기 시업을 하지 않았을 경우 고사 본수는 $12.0{\sim}18.1trees{\cdot}ha^{-1}{\cdot}year^{-1}$로 분석되었고, 임분 재적은 $463.1{\sim}695.4m^3{\cdot}ha^{-1}$, 임분밀도는 $1,555{\sim}2,038trees{\cdot}ha^{-1}$로 나타났다. 향후 임분밀도관리도는 시업 기준과 수확목표 설정 등 산림 경영 계획 수립에 있어서 효과적으로 활용될 수 있을 것으로 판단된다.

Keywords

References

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