Korean Journal of Agricultural Science (농업과학연구)

Institute of Agricultural Science, CNU (충남대학교 농업과학연구소)
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Vegetation community composition and changes of Jinaksan (Mt.) in Korea

  • Seungah Yang (Department of Environment and Forest Resources, College of Agriculture and Life Science, Chungnam National University) ;
  • Mira Lee (Department of Environment and Forest Resources, College of Agriculture and Life Science, Chungnam National University) ;
  • Badamtsetseg Bazarragchaa (Department of Scientific Research, Natural History Museum) ;
  • Hyoun Sook Kim (Institute of Agricultural Sciences, Chungnam National University) ;
  • Sang Myong Lee (Institute of Agricultural Sciences, Chungnam National University) ;
  • Joongku Lee (Department of Environment and Forest Resources, College of Agriculture and Life Science, Chungnam National University)
  • Received : 2023.02.23
  • Accepted : 2023.03.31
  • Published : 2023.06.01
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Abstract

This study investigated 62 nested quadrat plots of Jinaksan to identify community classification and changes of the vegetation by using the phytosocial method and analyzed importance values. Vegetation types were classified into 8 communities: Quercus mongolica community, Q. variableis community, Q. aliena community, Pinus densiflora, Q. acutissima, Zelkova serrata, Carpinis laxiflora, and C. tschonoskii. The significance value was highest in Q. mongolica (62.75) followed by P. densiflora (55.16), Q. variabilis community (25.03), Z. serrata (22.17), Q. aliena (18.30), Prunus serrulata var. pubescens (16.86), C. laxiflora (13.25), Q. acutissima (10.72), C. tschonoskii (10.08), Q. serrata (8.02), Fraxinus sieboldiana (6.93), Acer pseudosieboldianum (6.73), and Styrax obassis (5.73). Quercus mongolica displayed a stable distribution pattern, presenting a reverse J-shaped curve from the diameter at breast height (DBH) analysis, and it was judged that current state would be maintained for a certain period. In addition, P. densiflora is expected to dominate for the time being and Quercus species are expected to gradually decrease.

Keywords

Acknowledgement

이 논문은 2021년도 정부(과기정통부)의 재원으로 한국연구재단 바이오·의료기술개발사업의 지원을 받아 수행된 연구임(No.2017M3A9A5070202).

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