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http://dx.doi.org/10.13087/kosert.2022.25.2.39

Prediction of Forest Succession in Daecheong Dam River Basin Area Using LANDIS-II  

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)
Publication Information
Journal of the Korean Society of Environmental Restoration Technology / v.25, no.2, 2022 , pp. 39-53 More about this Journal
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
Forest vegetation change; SSP scenario; Forest Landscape Model; Plant physiology; Ecoregion;
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Times Cited By KSCI : 5  (Citation Analysis)
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