Journal of the Korean Society of Environmental Restoration Technology (한국환경복원기술학회지)

The Korea Society of Environmental Restoration Technology (한국환경복원기술학회)
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Prediction of Forest Succession in Daecheong Dam River Basin Area Using LANDIS-II

LANDIS-II를 활용한 대청댐 유역 식생천이 예측

  • Moon, Geon-Soo (Department of Environment & Forest Resources, Chungnam National University) ;
  • Kim, Sung-Yeol (Enfield Co.) ;
  • Song, Won-Kyong (School of Environmental Horticulture and Landscape Architecture, Dankook University) ;
  • Choi, Jaeyong (Department of Environment & Forest Resources, Chungnam National University)
  • 문건수 (충남대학교 농업생명과학대학 산림환경자원학과) ;
  • 김성열 ((주)엔필드) ;
  • 송원경 (단국대학교 환경원예.조경학부) ;
  • 최재용 (충남대학교 농업생명과학대학 산림환경자원학과)
  • Received : 2022.03.16
  • Accepted : 2022.04.18
  • Published : 2022.04.29
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Abstract

The purpose of this study is to find out the applicability of LANDIS-II model to Korea. The case study was carried out in Daecheong Dam basin. In order to operate the model, a total of 63,107 cells of 100x100m unit were constructed, each cell consists of ecoregion map, initial communities map, plant physiological data, and climate change prediction data using SSP2-4.5 scenario. Forest distributions of year 2050 and 2100 were predicted by distribution intensity and interference among trees based on field surveys of 147 points in 2020. As a result, trees of decreased distribution area in the future are in the order of Quercus mongolica, Pinus rigida, Pinus densiflora and Robinia pseudoacacia, which characterized vulnerable to the effects of climate change or artificially planted trees. While warm climate trees of Quercus variabilis, Quercus serrata, Quercus acutissima and Quercus aliana are predicted to increase their distribution area in the order. These results analyzed using the LANDIS-II model are consistent with the studies on potential natural vegetation and succession tendency in Korea. In conclusion, the applicability of LANDIS-II model in Korea is highly effective and it is also expected to serve as a scientific basis for determining forest policies on afforestation and restoration.

Keywords

Acknowledgement

본 연구는 산림청(한국임업진흥원) 산림과학기술 연구개발사업'(2022462B10-2224-0201)'의 지원에 의하여 이루어진 것입니다.

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