인간식물환경학회지 (Journal of People, Plants, and Environment)
- 제22권5호
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- Pages.481-488
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- 2019
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- 2508-7673(pISSN)
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- 2508-7681(eISSN)
DOI QR Code
The Preference Analysis for Optimum Density and Understory Vegetation Management in Healing Forests
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Kang, Jeong Seok
(Department of Forest Science, Chungbuk National University) ;
- Ju, Jeong Deok (Department of Forest Science, Chungbuk National University) ;
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Shin, Chang Seob
(Department of Forest Science, Chungbuk National University)
- 투고 : 2019.09.23
- 심사 : 2019.10.02
- 발행 : 2019.10.31
초록
The purpose of this study is to suggest how to manage healing forests. Field investigation and surveys were conducted to produce results and 313 questionnaires collected from workers in the forestry sector and ordinary people were analyzed. The results were as follows: it is required to preserve flowering plants, scenic trees, and ecological trees in the understory vegetation, and to remove trees that block the forest landscape, leaving about 50 to 60 percent of the understory vegetation. The preferred density order of broadleaf trees was analyzed as follows: Betula platyphylla > Liriodendron tulipifera > Quercus acutissima. The preferred density order of coniferous trees was analyzed as follows: Abies holophylla > Cryptomerias japonica and Chameacyparis obtusa > Larix kaempferi > Pinus densiflora > Pinus koraiensis. The preferred density in healing forests was 81-89% compared to the number of residual trees for quantitative thinning. Specifically, the preferred density were 87% for P. koraiensis, 86% for L. kaempferi, 81% for P. densiflora, 83% for C. japonica, 84% for C. obtusa and 89% for Q. acutissima. In the case of healing forests, it is recommended to periodically conduct a small-scale thinning with different densities according to the species and diameter of trees based on the results of this study.