• Mycobiology
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• v.42 no.2
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• pp.132-139
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• 2014

Basidiomycetous macrofungi play important roles in maintaining forest ecosystems via carbon cycling and the mobilization of nitrogen and phosphorus. To understand the impact of human activity on macrofungi, an ongoing project at the Korea National Arboretum is focused on surveying the macrofungi in unexploited areas. Mt. Oseo was targeted in this survey because the number of visitors to this destination has been steadily increasing, and management and conservation plans for this destination are urgently required. Through 5 field surveys of Mt. Oseo from April to October 2012, 116 specimens of basidiomycetous macrofungi were collected and classified. The specimens were identified to the species level by analyzing their morphological characteristics and their DNA sequence data. A total of 80 species belonging to 57 genera and 25 families were identified. To the best of our knowledge, this is the first study to identify five of these species-Artomyces microsporus, Hymenopellis raphanipes, Pholiota abietis, Phylloporus brunneiceps, and Sirobasidium magnum-in Korea.

• Journal of Korean Society of Forest Science
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• v.106 no.2
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• pp.169-185
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• 2017

The result of forest vegetation classification could be quite different and dependant on analysis methods. The purpose of this study was to compare the analyzed results for three kinds of methods (physiognomy dominant species, floristic composition and interspecific association) related to vegetation classification. Vegetation data were collected by the 80 quadrates in Mt. Oseo, Chungcheongnam-do from September to October in 2016. We carried out community type classification using above three methods. As a result, the vegetation according to physiognomy dominant species was classified into ten communities such as Pinus densiflora community, Quercus mongolica community, Zelkova serrata community, Quercus acutissima community, Cornus controversa community, Quercus serrata community, Larix kaempferi community, Pinus rigida community, Castanea crenata community and Liriodendron tulipifera community. The vegetation according to floristic composition was classified into 4 vegetation units. It was totally represented by Lindera erythrocarpa community group. And L. erythrocarpa community group was classified into the Rhododendron mucronulatum community (subdivided R. mucronulatum typical group and Styrax obassia group) and Zelkova serrata community (subdivided Larix kaempferi group and Pseudostellaria palibiniana group). As a result of interspecific association, forest vegetation was divided into two groups. And it was considered that the vegetation type by floristic composition and interspecific association significant could be affected by topography. There were lots of vegetation groups or units in the order like 10 types of communities by the physiognomy dominant species, 8 species group and 4 vegetation types by the floristic composition, and 2 types by the interspecific association. In conclusion, vegetation classification methods elicited diverse vegetation groups or units with lots of correlations of environmental factors.

• Spatial Information Research
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• v.13 no.3 s.34
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• pp.195-209
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• 2005

Forest road has been an essential infrastructure for various forestry practices as well as for recreational use, disaster management, and local economics promotion. Since 1980s, extensive network of forest roads has been constructed as an national project in Korea. However, due to the minimal-budget of the project, accurate maps of forest road are not usually available. Although forest road map is a main thematic layer for the forest Geographic Information System (FGIS), its locational accuracy has not been sufficient for the practical applications and, therefore, the update of digital forest road maps is urgent. The objectives of this study is to compare ae methodology of generating and updating digital forest road maps from the aspects of the map accuracy and the efficiency of methods. Four mapping methods (GPS surveying, satellite imagery, ortho aerial photograph, and digital photogrammetry) were applied to generate the forest road maps over the study area of Mt. Oseo in Chungchungnam-do, which has a 35km forest roads distributed in national, public and private forests. The forest road Imp produced by digital photogrammetric method is the most accurate and comparable to GPS surveying although it required the greatest amount of labor time.