Journal of the Korean Institute of Landscape Architecture
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v.33
no.4
s.111
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pp.108-118
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2005
While the recent lift of restrictions in greenbelt areas is expected to generate a number of development plans, there are efforts to create various development plans into spatial plans that consider the natural and ecological conditions of development sites. However, these development plans consider Degree of Green Naturality or Degree of Ecology only when designating areas for conservation within development sites. It is true that they don't fully reflect the value of green areas and wetlands as habitats and natural resources. Therefore, this study built an conservation value assessment model that is applicable to sites where development is planned in Korea by reviewing prior case examples md studies and applied the developed model to a case study area. The site where the conservation value assessment model was applied to is an area around Yongsan-ri and Suha-ri, Doam-myon, Pyeongchang-gun, Gangwon province where quality natural resources are located in and wend the site. This is a site for the development of Alpensia Resort where a resort including facilities for the Winter Olympics is planned to be introduced. In order to assess the conservation value of the site for Alpensia Resort, a total of eight items including area, distribution of communities, habitation of species with conservation value, functions of habitats, connectivity of habitats, vegetation layers of forests, age of forests, and ratio of non-native plants were studied through literature review and field surveys. The assessment was made by dividing the site into 95 habitats that are perceived by aerial photographs and each habitat unit was assessed on the eight items in a 3-point scale. Each unit habitat assessed in a 3-point scale was segmented into primary, secondary or tertiary areas based on the conservation value. Habitats assessed as primary were designated as priority (absolute) conservation areas and those assessed as secondary and tertiary were set as secondary conservation areas and tertiary conservation areas, respectively. As a result, each area represented 26.9%, 20% and 3% of total site area. Based on this result, habitat management plans were developed to conserve primary conservation areas, improve secondary conservation areas and restore tertiary conservation areas. In addition, a development plan was developed to create habitats in areas where new habitats are requested in order to build an eco-network in the site and a plan to create eco-corridors was proposed. In developing a land use plan for the site, a development plan that considers conservation areas first should be set up based on the outcome of conservation value assessment. This can be linked to the development of an environment-friendly land use plan as well as easing the establishment of a green area and eco-network. This study will facilitate the implementation of the 'conservation before development' principle, which can prevent reckless development, by assessing conservation value in setting up development plans.
This study conducted a survey on the ecosystem of Wonju stream from May until November in 2004 and made an health assessment of Wonju stream using family biotic indices(FBI) and physical habitat assessment(PHA) of the aquatic insects. Through this survey, aquatic insects covering 8 orders, 37 families, 62 genuses, and 92 species were observed at 9 stations along Wonju stream. In terms of family biotic indices, it was confirmed that station 1,2 and 3 were maintaining the healthiest stream ecosystem with the value ranging from 4.55 to 4.82. In addition, station 2 was found to have the best habitat environment in the correlation between physical habitat assessment and family biotic indices with its value of 100 and 4.82, respectively. However, station 7 and 9 showed the lowest habitat environment with the value of 45, 6.17 and 45, 6.97, respectively. posing the need for improvement in PHA; further, station 7 and 9 showed inverted correlationship between PHA and FBI.
URBAN ECOLOGICAL MAPS must be created by local governments by NATURAL ENVIRONMENT CONSERVATION ACT, and the maps are generally called biotope map. So far, biotope maps study was a tendency to focus on the type of vegetation, naturalness, land use, landscape ecology theories. However, biotope related studies have not reflected the concept of animal habitat, which is a component of biotope, and that is the limitation of biotope map research. This study suggest a methodology to predict potential habitats for fauna using machine learning to quantify habitat values. The potential habitats of fauna were predicted by spatial statistics using machine learning, and the results were converted into species richness. For biotope type assessments, we classified biotope values into vegetation value and habitat value and evaluated them using a matrix for value summation. The vegetation value was divided into 5 stages based on vegetation nature and land use, and the habitat value was classified into five stages by predicting the species richness predicted by machine learning. This is meaningful because our research can positively reflect the results of field surveys of fauna that were negatively reflected in the evaluation of biotope types in the past. Therefore, in the future, if the biotope map manual is revised, our methodology should be applied.
This article analyzes the interdependency between nonrenewable marine sand resources and renewable fishery resources by the developed dynamic bioeconomic model. The developed bioeconomic model is applied to a case study of efficient sustainable management for marine sand mining, which adversely affects a valuable blue crab fishery and its habitat in Korea. The socially-efficient extraction plan for marine sand and the time-variant environmental external costs to society in terms of diminished harvest rate of blue crab are determined. To take into account long-term effects from destroyed fishery habitat, a Beverton-Holt age structure model is integrated into the bioeconomic model. The illustrative results reveal that the efficient sand extraction plan is dynamically constrained by the stock size of the blue crab fishery over time. Thus, the dynamic environmental external cost is more realistic resource policy option than the classical fixed external cost for determining socially optimal extraction plans. Additionally, the economic value of bottom habitat, which supports the on- and off-site commercial blue crab fishery is estimated. The empirical results are interpreted with emphasis on guidelines for management policy for marine sand mining.
Accurate information on habitat distribution of protected fauna is essential for the habitat management of Korea, a country with very high development pressure. The objectives of this study were to develop a habitat suitability model of wild boar based on GIS and logistic regression, and to create habitat distribution map, and to prepare the basis for habitat management of our country s endangered and protected species. The modeling process of this restudyarch had following three steps. First, GIS database of environmental factors related to use and availability of wild boar habitat were built. Wild boar locations were collected by Radio-Telemetry and GPS. Second, environmental factors affecting the habitat use and availability of wild boars were identified through chi-square test. Third, habitat suitability model based on logistic regression were developed, and the validity of the model was tested. Finally , habitat assessment map was created by utilizing a rule-based approach. The results of the study were as folos. First , distinct difference in wild boar habitat use by season and habitat types were found, however, no difference in wild boar habiat use by season and habitat types were found , however, ho difference by sex and activity types were found. Second, it was found, through habitat availability analysis, that elevation , aspect , forest type, and forest age were significant natural environmental factors affecting wild boar hatibate selection, but the effects of slope, ridge/valley, water, and solar radiation could not be identified, Finally, the habitat at cutoff value of 0.5. The model validation showed that inside validation site had the classification accuracy of 73.07% for total habitat and 80.00% for cover habitat , and outside validation site had the classification accuracy of 75.00% for total habitat.
This study is to evaluate economic effect of the creation project of snow crab, Chionoecetes opilio, spawning and habitat ground in Uljin and Youngdeok county. The main results of this study are summarized as follows: first, 14,400 million won was invested in the creation project cost of Chionoecetes opilio spawning and habitat ground of Uljin and Youngdeok County from 2015 to 2020. Second, the creation project of Chionoecetes opilio spawning and habitat ground directly provides fishing benefits, festival benefits, research and development benefits and employment benefits. Third, on the basis of above benefits, the creation project of Chionoecetes opilio spawning and habitat ground has net present value of 29,900.53 million won, internal rate of return 16.9%, and benefit-cost of 2.91 under a 4.5% social discount rate. Also, the creation project creates 195 jobs. This indicates that the creation project of Chionoecetes opilio spawning and habitat ground not only contributes to the increase in the income of coastal fishery and fishing villages but also to the job making. The result of this study provides useful information to policy makers or project managers as it shows that the project to create spawning and habitat ground should be carried out in consideration of the resource and biological characteristics of individual fish and that economic assessment logic should also be developed based on this. Also, it proves that the project to create a snow crab spawning and habitat ground is a national and local infrastructure project that increases the actual fishing income in the region. At the same time, it maintains the reproducibility function of most fish species, along with enhancing the people's benefits such as fishing village tourism and marine product consumption. Moreover, it provides useful information on budgeting for the continuous development of snow crab spawning and habitat ground in the mid to long-term.
The Convention on Biodiversity (CBD) recommends that 17% of the land be designated as a protected area to counter global environmental problems. Korea also realized a need to designate protected areas according to the international level and explain the significance of designating protected areas. Accordingly, studies on ecosystem services are required. In Korea, the protected areas are designated as national parks, provincial parks, and county parks by hierarchy under the Natural Parks Act. However, as priority was on political and administrative aspects, research on ecosystem service value evaluation and habitat management were concentrated in national parks, and provincial and county parks were relatively neglected. Therefore, more studies on provincial and county parks are necessary. In this study, habitat quality for Gajisan Provincial Park, where there were few studies on habitat management and ecosystem service valuation, was evaluated using the InVEST Habitat Quality model among the InVEST models. The analysis results were compared with 16 mountainous national parks. The results showed that the habitat quality value of Gajisan Provincial Park was 0.83, higher than that of the surrounding areas. The analysis of habitat quality in three districts showed 0,84 for the Tongdosa and Naewonsa districts and 0.83 for the Seoknamsa district. By use district, the nature conservation district, the natural environment district, the cultural heritage district, and the park village district had the highest habitat quality value in that order. Compared with the existing habitat quality analysis results of national parks, Gajisan Provincial Park showed naturalness at the level of Mudeungsan National Park. These results can be used as objective data for establishing policies and management plans to preserve biodiversity and promote ecosystem services in provincial parks.
Journal of the Korean Institute of Landscape Architecture
/
v.32
no.4
/
pp.28-38
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2004
Korean goral (Nemorhaedus caudatus raddeanus) is one of the endangered species in Korea, and the rugged terrain of the Soraksan National Park (373㎢) is a critical habitat for the species. But the goral population is threatened by habitat fragmentation caused by roads and hiking trails. The objective of this study was to develop a potential habitat suitability model for Korean goral in the park, and the model was based on the concepts of fuzzy set theory and multi-criteria evaluation. The process of the suitability modeling could be divided into three steps. First, data for the modeling was collected by using field work and a literature survey. Collected data included 204 points of GPS data obtained through a goral trace survey and through the number of daily visitors to each hiking trail during the peak season of the park. Second, fuzzy set theory was employed for building a GIS data base related to environmental factors affecting the suitability of the goral habitat. Finally, a multiple-criteria evaluation was performed as the final step towards a goral habitat suitability model. The results of the study were as follows. First, characteristics of suitable habitats were the proximity to rock cliffs, scattered pine (Pinus densiflora) patches, ridges, the elevation of 700∼800m, and the aspect of south and southeast. Second, the habitat suitability model had a high classification accuracy of 93.9% for the analysis site, and 95.7% for the validation site at a cut off value of 0.5. Finally, 11.7% of habitatwith more than 0.5 of habitat suitability index was affected by roads and hiking trails in the park.
Journal of the Korean Society of Environmental Restoration Technology
/
v.17
no.1
/
pp.91-109
/
2014
This study was conducted to obtain the basic research about Siberian roe deer (Capreolus pygargus), and to establish a conservation area into Seoraksan(Mt.) National Park, South Korea. We recorded Siberian roe deer field signs (bedding sites, feeding areas, feces and tracks etc), and habitat variables such as nearest distance to the watercourse, trails, slope, aspect, forest type and land cover etc. from Jan. 2006 to Dec. 2007 in Seoraksan(Mt.) National Park. According to the research of habitat characteristics of Siberian roe deer inhabited in Seoraksan(Mt.) National Park preferred mixed forest consisted of aged forest and middle-aged forest on the gentle slope which was close to hydrosphere in the middle elevation area of altitude of 400~600m above sea level in Seoraksan(Mt.) National Park. The results indicated that Siberian roe deer appeared to prefer south slope or north slope during the snow season and west or east slope during the non-snow season. The area of most suitable habitat for Siberian roe deer in Seoraksan(Mt.) National Park was $128.5km^2$ (32% of the total area) followed by $244.3km^2$ buffer area (62.2% of the total area), and $22.9km^2$ unsuitable habitat area (5.8% of the total area), which means environmentally unsuitable habitat for Siberian roe deer was rare in Seoraksan(Mt.) National Park. Thus, the area classified as major area in Seoraksan(Mt.) National Park appeared to be most important for the protection of Siberian roe deer.
Ecosystem biodiversity is rapidly being lost due to changes in habitat, fragmentation of habitat, climate change, and land use changes by human activities. Recently, attempts have been made to approach the watershed management level to secure the health of the watershed, but studies on how to approach biodiversity and habitat management are still in lack. The purpose of this study is to evaluate the habitat quality of Geum river basin using Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) habitat quality model. The results of habitat quality was verified to eco-natural map and ecological watershed health evaluation results. The habitat quality of watershed was evaluated from 0 to 0.86 and the results showed that habitat quality was higher in upstream than downstream. Compared the habitat quality value in each eco-natural grade, the average habitat quality of 1st, 2nd and 3rd grades were 0.80, 0.76 and 0.71 respectively. The results of the correlation analysis with ecological watershed health data, the coefficient of determination (R2) was 0.58, and the person coefficient was 0.76. The results of this study may be used as foundation data to support habitat protection and implementation of long-term biodiversity-related policies.
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