Recently, major cities in Korea are suffering from frequent urban flooding caused by heavy rainfall. Such urban flooding mainly occurs due to the limited design capacity of the current drainage network, which increases the vulnerability of the cities to cope with intense precipitation events brought about by climate change. In other words, it can be interpreted that runoff exceeding the design capacity of the drainage network and increased impervious surfaces in the urban cities can overburden the current drainage system and cause floods. The study presents the green roof as a sustainable solution for this issue, and suggests the pre-design using the LID controls model in SWMM to establish more specific flood prevention system. In order to conduct the computer simulation in connection with Korean climate, the study used the measured precipitation data from Cheonan Station of Korea Meteorological Administration (KMA) and the forecasted precipitation data from RCP 8.5 scenario. As a result, Extensive Green Roof System reduced the peak runoff by 53.5% with the past storm events and by 54.9% with the future storm events. The runoff efficiency was decreased to 4% and 7%. This results can be understood that Extensive Green Roof System works effectively in reducing the peak runoff instead of reducing the total stormwater runoff.

The purpose of this study is to offer the raw data for establishing the management and restoration plan by objective surveying and analysing the flora distributed in Seoak District, Gyeongju National Park, Korea. The flora summarized as 411 taxa including 92 families, 285 genera, 363 species, 2 subspecies, 41 varieties and 5 forms. The rare plants designated by Korea Forest Service were 2 taxa including Exochorda serratifolia and Potentilla discolor. The Korean endemic plants were 3 taxa including Philadelphus schrenkii, Lespedeza maritima and Weigela subsessilis. The specific plants by floristic region were 16 taxa including Asplenium sarelii, Pyrrosia petiolosa, Vitex negundo var. incisa and so forth. The target plants adaptable to climate change were 2 taxa including Lespedeza maritima and Carpesium macrocephalum, and the plants with approval for delivering oversea were 4 taxa including Exochorda serratifolia, Glycine soja, Lespedeza maritima and Weigela subsessilis. The naturalized plants were 51 taxa including Phytolacca americana, Viola papilionacea, Lamium purpureum and so forth. The invasive alien plants were 3 taxa including Ambrosia artemisiifolia, Aster pilosus and Lactuca scariola. NI(Naturalized Index) was 12.4% of all 411 taxa of surveyed flora in this study and UI(Urbanized Index) was 15.9% of all 321 taxa of naturalized plants in Korea. Potentilla discolor in rare plant, Philadelphus schrenkii in endemic plant and Dictamnus dasycarpus in specific plant were established the conservation plan. Whereas, invasive alien plants such as Ambrosia artemisiifolia, Aster pilosus and Lactuca scariola should be removed as soon as possible. The damaged sites in Seoak District were divided between wildfire area and farmland. To restore a forest fire site, we will have to apply a natural renewal and community planting. In case of farmland, we will have to do ecological planting using native species and constrcut a forest wetland.

A phytosociological vegetation survey was conducted in July to September 2011 in order to examine the vegetation community structure in Mt. Ohseo area. It was aimed to provide basic data for the effective vegetation conservation by analyzing the importance, species diversity and community similarity of the forest community in Mt. Ohseo for each layer, followed by the classification of the actual forest vegetation. According to the cluster analysis, the community type of Mt. Ohseo was classified into a total of 4 vegetation communities: Pinus densiflora community, Cornus controversa-Quercus serrata community, Miscanthus sinensis community, and Quercus mongolica community; the vegetation type 4 showed the lowest species diversity index of 0.5236, and vegetation type-2 showed the highest species diversity index of 0.6606. The community similarity between Quercus mongolica community and Pinus densiflora community showed the highest 0.679, and the community similarity between Quercus serrata community and Pinus densiflora community and between Quercus serrata community and Quercus mongolica community showed the levels of 0.5, respectively.

This study was carried out to investigate the growth responses of medicinal plants such as Glehnia littoralis, Cryptotaenia japonica, Angelica gigas, Reynoutria japonica, Saururus chinensis, Houttuynia cordata, Ligularia fischeri, and Aralia cordata under 70%-shading and full sunlight conditions on a rooftop condition using artificial soil as a growth media. Glehnia littoralis, Cryptotaenia japonica, Ligularia fischeri, Saururus chinensis, and Houttuynia cordata showed better growth on plant height, leaf length, leaf width, petiole length and leaf number under full sunlight conditions on a rooftop condition. Cryptotaenia japonica and Houttuynia cordata had high value of Hunter's a (red-green) under full sunlight, while had lower value of L(lightness) and b(blue-yellow) than those of 70% shading condition. As an index of plant stress response, Glehnia littoralis, Reynoutria japonica, Houttuynia cordata, Ligularia fischeri showed Fv/Fm values 0.79~0.84 under full sunlight in August, indicating low stress on plant growth. Therefore they seemed to be suitable medicinal plats for rooftop conditions. Ligularia fischeri and Reynoutria japonica showed better growth under 70% shading treatment in August, while showed high growth response under full sunlight conditions in September. The 70% shading treatment was effective for the growth of Angelica gigas, Reynoutria japonica, and Aralia cordata. Angelica gigas and Reynoutria japonica, however, showed better plant growth under full sunlight during summer. The results showed that Glehnia littoralis, Cryptotaenia japonica, Ligularia fischeri, Saururus chinensis, and Houttuynia cordat seemed to be suitable medicinal plants for rooftop garden where there is a full sunlight condition.

The aim of this study was to evaluate the monitoring efficiency of camera trapping in wild animals and to determine ways to increase its utilization. Nineteen sensor cameras were installed in Sobaeksan National Park from October 2012 to September 2013. During the study period, a total of 1045 terrestrial mammal photos were secured and 15 species habitats were identified. Shooting frequency was higher for medium and large mammals, especially full images of carnivores accounted for approximately 83%. A comparison of track surveys revealed that camera trapping was highly efficient and helped in capturing real image of species. The supply of lure and bait stimulates the sense of smell in carnivores, which further enhances the capturing of images by camera trapping. The results of this study provide data on the ecological characteristics of mammals, which can aid in determining habitat use by these animals, and thereby facilitate prevention of crop damage by wildlife.

An urban ecosystem is a complex system that includes social, economic and ecosystems. Therefore, it is important to consider its environmental capacity while developing a city plan. Most of the plans, however, consider only the social aspects, which fragments the green spaces and disturbs the movement of species. Sungnam has approximately 100 parks with unexecuted development plans and with great potential to contribute towards urban ecosystem enhancement. Therefore, this study applied network analysis to prioritize the development of city parks and contribute towards improving the green network, with Parus spp. as the target species. To compensate for the drawbacks of binary and possibility-based network analysis, this study included two indices, namely $BC^{PC}_K$, $BC^{IIC}_K$, $dPCconnector_k$ and $dIICconnector_k$. These indices make it possible to find patches that could play an important role in green network enhancement. The urban park with greater value gets a higher priority to be transformed into a park. Thus, our methodology could prove to be very useful in prioritizing the undeveloped parks, thereby supporting decision-making.