• Journal of Environmental Impact Assessment
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• v.10 no.2
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• pp.147-155
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• 2001

Vegetation maps present an inventory of existing plant communities, their location, extent and geographical distribution in the area concerned. For green space management and environment assessment accurate vegetation maps can be used effectively for analyzing the relationships between vegetation and the physical environment. However, the Current Vegetation Map, Forest Stand Map, and Green Naturality Map in Korea do not represent the status of vegetation community exactly. Therefore, the purpose of this study is to produce a detailed vegetation map at urban neighborhood parks in Korea by collecting the exact current vegetation data from field survey, and remote sensing(RS) and storing these data in geographical information systems(GIS). Ultimately it is intended to be used in planning and managing the urban green space. The study area is 66.1ha and it is classified into total 19 communities together with parks, orchards, bare land, grassland, tombs and gardens, etc. There is 53.7ha(81.2%) difference between the detailed vegetation map and the current vegetation map. There is also 46.9ha(70.8%) difference between the detailed vegetation map and forest stand map. After this study, it was concluded that it needs producing the detailed vegetation map used in managing urban green spaces because the existing vegetation map does not represent the status of vegetation in the study site.

• Korean Journal of Environment and Ecology
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• v.22 no.4
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• pp.396-408
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• 2008

Gwangtan-myeon, Paju-si, Gyeonggi-do was classified as a 4 grade age-class deciduous tree forest, however as a result of vegetation survey, this site was found to consist of natural forest with deciduous trees, thus causing difficulty in judging which age class it belongs to. Subsequently, the necessity of drawing up a detailed stock map plan was raised. For this reason, this research was designed to propose a mapping method for a detailed stock map plan based on a detailed survey on actual vegetation, vegetation structure, and analysis data on tree rings. The detailed analysis of actual vegetation pattern showed that there exist 22 patterns of vegetation, in which the natural forest has 11 patterns, such as Quercus mongolica forest and Q. variabilis forest, etc. while the artificial forest was found to have 6 patterns including Castanea crenata, etc. In order to verify their age-class, this research measured a tree age by collecting 42 quadrats and 89 specimen tree cores on the basis of a detailed actual vegetation map; as a result, an artificial forest and oak trees with small diameters located at low-lying areas, was categorized as 2-grade age class(covering 29.8%), and other areas were judged to be available for land use as 3-grade age-class(covering 57.6%) while the areas judged to be 4-or-more grade age-class (covering 8.8%) was impossible for land use because they are located on a steep slope ridge line on a boundary. In case a proposed site for a small-scale development is judged as a natural forest with deciduous trees as mentioned above, it is necessary that a detailed stock map plan should be drawn up through a detailed investigation into actual vegetation and analysis of plant gathering structure & specimen trees. A detailed stock map plan includes the data that makes it possible to comprehensively judge natural property, scarcity, and diversity of vegetation; thus, it is considered that a detailed stock map plan will be useful in judging the development propriety of a small-scale site.

• Korean Journal of Remote Sensing
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• v.20 no.5
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• pp.329-335
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• 2004

Biotop map can be utilized for nature conservation and assessment of environmental impact for human activities in urban area. High resolution satellite images such as IKONOS and KOMPSAT1-EOC were interpreted to classify land use, hydrology, impermeable pavement ratio and vegetation for biotop mapping. Wildlife habitat map and detailed vegetation map obtained from former study results were used as ground truth data. Vegetation was investigated directly for the area where the detailed vegetation map is not available. All these maps were combined and the boundaries were delineated to produce the biotop map. Within the boundary, the characteristics of each polygon were identified, and named. This study investigates the possibility of biotop mapping using high resolution satellite remote sensing data together with field data with the goal of contributing to nature conservation in urban area.

• The Korean Journal of Ecology
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• v.21 no.6
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• pp.779-789
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• 1998

The forest vegetation established on Mt. Hwangryung located in Pusan, southern Korea was analyzed through phytosociological procedure. Vegetation of the study area was categorized into 14 communities, 16 groups, and 13 subgroups. Vegetation units obtained from such an analysis were shown in a detailed vegetation map (scale 1:5,000). Ecological characteristics of each vegetation unit were discussed on the basis of the principle of restoration ecology. From those results, it was confirmed that some introduced vegetation under excessive artificial interference was in unstable state and then ecological restoration was needed. On the other hand, ecological information and management systems to maintain the urban forest as ecologically healthy state were developed using GIS.

• Proceedings of the Korean Society of Environment and Ecology Conference
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• 2010.04a
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• pp.45-48
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• 2010

• Korean Journal of Ecology and Environment
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• v.48 no.1
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• pp.61-67
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• 2015

This study, which was conducted from Apr. 2013 to Jan. 2014, was carried out as part of a project of making a more detailed ecological zoning map with 1/5,000 scale. The necessity of electronic vegetation map with large scale has arisen in order to make the best use of basic research findings on resource monitoring of National Parks and to enhance efficiency in National Park management. In order to improve accuracy and speed of vegetation research process, the data base for vegetation research was categorized into five groups, namely broad-leaved forest, coniferous forest, mixed forest, rock vegetation and miscellaneous one. And then a vegetation map for vegetation research was created for the research on the site. What is in the database for vegetation research and the vegetation map reflecting findings from vegetation research showed similar distribution rate for broad-leaved forest with 71.965% and 71.184%, respectively. The distribution rate of coniferous forest (16.010%, 15.747%), mixed forest (10.619%, 12.085%), and rock vegetation (0.015%, 0.002%) did not have much difference. In a detailed vegetation map reflecting vegetation research findings, the broad-leaved mountain forest was the most widely distributed with 60.096% based on the physiognomy classification. It was followed by mountain coniferous forest (16.332%), mountain valley forest (15.887%), and plantation forest (3.558%) As for vegetation conservation classification evaluated in the national park, grade I and grade II areas took up 200.44 km2, 61.80% and 108.80 km2, 33.55% respectively. The combined area of these two amounts to 95.35%, making this area the first grade area in ecological nature status. This means that this area is highly worth preserving its vegetation. The high rate of grade I area such as climax forests, unique vegetation, and subalpine vegetation seems to be attributable to diverse innate characteristics of Odaesan National Park, high altitude, low level of artificial disturbance, the subalpine zone formed on the ridge of the mountain top, and their vegetation formation, which reflects climatic and geological characteristics, despite continuous disturbance by mountain climbing.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.5 no.1
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• pp.35-50
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• 2002

This study aims to understand wetland distribution and type-specific classification features with a focus on Tumen River downstream in China by adjusting and improving the classification system used in Korea with a reference to international wetland classification systems and their criteria & methods. In this study, wetland types were determined based on hydrology, vegetation, and soil conditions, which are the most basic elements of wetlands. Also, topography analytical map, vegetation analytical map, and soil analytical map for wetland classification were developed and used based on currently available topography map, vegetation map, and soil map. In addition, codes were defined based on topography, location, hydrology, and vegetation. The result shows that, in the Tumen River downstream, wetlands are often found near natural revetment and terrace land & river-bed lakes. In the discovered wetlands, riverine, lacustrine, and inland wetlands were mostly found at system level. Riparian and human-made wetlands were also identified. At a sub-system level, perennial and seasonal wetlands were found to a similar degree. At a class level, perennial open water, herbal plants, and shrubs were mostly found and sandy plain, hydrophytes, and forest tree types were also observed. An overall detailed classification shows that a total of 17 wetland types were found and a large distribution of sand dunes and river-bed lakes, which are scarce in Northeast Asia, indicates that other rare wetland types such as palustrine seasonal sand plain wetland and lacustrine seasonal sand plain wetland may be discovered.

• Journal of Korean Society of Forest Science
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• v.89 no.4
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• pp.470-479
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• 2000

Management units of forest vegetation established on Mt. Moodeung (1,186.8m), a typical urban forest at Kwangju city located in the southwestern Korea, was classified phytosociologically and its spatial distribution mapped out with special reference to its ecological conservation and management. Management units of this area were classified into three categories; twenty-one higher units, ten lower units and nine lowest units, giving a total of 31 zones. Total area for detailed mapping was 2,779.5ha, of which natural vegetation accounted for 2192.0ha (78.9%), residing in most part of this area, artificial vegetation for 159.1ha (5.7%), and non-forested area including arable area, burned area and others for 428.4ha (15.5%). The ratio of natural forest element showed 93.2%, which is much higher when compared with those of other urban forests.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.5
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• pp.27-41
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• 2024

The current method of calculating the carbon stocks of Korea's forests is to multiply the forest standing crop by basic wood density, biomass expansion factor, and carbon fraction, but it does not sufficiently reflect forest vegetation. This study attempted to present a method of calculating carbon stocks using the biotope map and Biomass Allometric Equations for forests in Suji-gu, Yongin City. The biotope map is prepared every five years and contains detailed information on vegetation, including the actual vegetation and land cover status. The forest biotope of Suji-gu was extracted from the Yongin City biotope map, and the tree species, height, and breast height diameter of 24 representative types of forest vegetation sampled in Yongin City were analyzed in detail. To calculate the carbon stocks of trees and shrubs, the Biomass Allometric Equations developed by the National Institute of Forest Science was used, and to calculate the carbon stocks of shrubs, the previous research result of 0.457 kg per m² was applied. First, carbon storage was calculated for each types of forest vegetation sampled in Yongin City, and in order to apply this to the entire area, the 125 forest vegetation types in Suji-gu, Yongin City were retyped into 50. As a result, the Quercus mongolica community occupied the largest area, followed by the Pinus rigida community, the Quercus acutissima community, and the Quercus serrata community. The community with the highest carbon stocks per unit area (m²) was the Cornus controversa-Quercus mongolica community, and the community with the lowest was the oak-Betula dahurica community. The carbon stocks amount of forests in Suji-gu, Yongin City, calculated by applying the biotope map and Biomass Allometric Equations, was relatively higher than the carbon stocks amount calculated by multiplying existing forest standing crop by basic wood density, biomass expansion factor, and carbon fraction. This is because the currently officially used forest standing crop in Yongin City (144.44 m³/ha) does not sufficiently reflect the actual forest vegetation, and trees with a breast height diameter of less than 6 cm were excluded when surveying forest standing crop, resulting in a lower carbon stocks amount than the actual amount. This study complements the limitations of existing carbon stocks calculation methods by utilizing a biotope map with detailed information on vegetation, such as existing vegetation maps and land cover status, and a Biomass Allometric Equations developed by the National Institute of Forest Science, and provides higher precision when assessing carbon stocks of forests. It is meaningful in suggesting a method for calculating carbon stocks.

• Journal of the Korean Geographical Society
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• v.38 no.5
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• pp.667-685
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• 2003

To address the requirements of gap analysis for species protection, as well as the needs of state and federal agencies for detailed digital land cover, a 43-class map at the vegetation alliance level was created for the state of Kansas using multi-temporal Thematic Mapper imagery. The mapping approach included the use of three-date multi-seasonal imagery, a two-stage classification approach that first masked out cropland areas using unsupervised classification and then mapped natural vegetation with supervised classification, visualization techniques utilizing a map of small multiples and field experts, and extensive use of ancillary data in post-hoc processing. Accuracy assessment was conducted at three levels of generalization (Anderson Level I, vegetation formation, and vegetation alliance) and three cross-tabulation approaches. Overall accuracy ranged from 51.7% to 89.4%, depending on level of generalization, while accuracy figures for individual alliance classes varied by area covered and level of sampling.