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Prediction of the Optimal Growth Site and Estimation of Carbon Stocks for Quercus acuta in Wando Area

완도지역의 붉가시나무 생육 적지예측 및 탄소저장량 추정

  • Hwang, Jeong-Sun (Division of Forest Industry Research, National Institute of Forest Science) ;
  • Kang, Jin-Teak (Division of Forest Industry Research, National Institute of Forest Science) ;
  • Son, Yeong-Mo (Division of Forest Industry Research, National Institute of Forest Science) ;
  • Jeon, Hyun-Sun (Division of Forest Industry Research, National Institute of Forest Science)
  • 황정순 (국립산림과학원 산림산업연구과) ;
  • 강진택 (국립산림과학원 산림산업연구과) ;
  • 손영모 (국립산림과학원 산림산업연구과) ;
  • 전현선 (국립산림과학원 산림산업연구과)
  • Received : 2015.11.05
  • Accepted : 2015.12.07
  • Published : 2015.12.31

Abstract

This study was carried out to predict the optimal growth site and estimate carbon stocks of Quercus acuta, evergreen broad-leaved trees in warm temperate zone according to climate change. The criterion for the optimal site prediction was created by quantification method with quantitative and qualitative data, collected from growth factors of stands and environmental factors of survey sites of 42 plots in Q. acuta by study relationship between growth of tree and site environmental factors. A program for the optimal site prediction was developed by using GIS engine tools. To prediction of the suitable growth site of Quercus acuta, developed program in this study applied to Wando in Jeollanam-do, distributing a various evergreen bread-leaved trees of warm temperate zone. In the results from analysis of the optimal site prediction on Q. acuta, the characteristics of the optimal site showed as follows; site environmental features of class I (the best site class for Q. acuta) was defined as 401 ~ 500 m of altitude, $21{\sim}25^{\circ}$ of slope with above hillside, residual of deposit convex of slope type with west of aspect. The area and carbon stocks of optimal site prediction by class for Q. acuta in classI showed 147.1 ha (2.5%), total 316.5 tC/ha, total $1,161tCO_2/ha/yr$ of class I, 2,703.5 ha (46.3%), total 5,817.4 tC/ha, total $21,331tCO_2/ha/yr$ of class II, 2,845.5 ha (48.6%), total 6,123.0 tC/ha, total $2,845.5tCO_2/ha/yr$ of class III and 153.7 ha (2.6%), total 330.7 tC/ha, total $1,213.7tCO_2/ha/yr$ of class IV.

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