• Journal of the Korean Society of Environmental Restoration Technology
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• v.16 no.1
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• pp.171-180
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• 2013

As the second-largest 1st degree of ecological zone in Kangwon Province, Pyeongchang County is expected to play an important role in expanding the protected areas of the Republic of Korea. However, Pyoungchang County is expected to experience an increase in demand for development due to the 2018 Winter Olympics. Problems related to various stakeholders and limited budget will arise regarding the issue of expanding the protected areas. In this study, in order to effectively control these problems, we designed expansion plans for the 1st degree ecological zoning map areas and the observed data of threatened species I and II in Pyoungchang County by using the MARXAN Software. As for the methods, we first set the planning units(PUs) for the spatial analysis. The PUs include boundary length, land cost, land status, etc. Then, we made the input data by controlling the conservation features, BLM(Boundary Length Modifier) and iteration numbers. There are two measures for the establishment of the protected areas, one of which only concerns with the ecological priority, and the other with combining the land cost on forest. The one illustrated shows that the larger patches that include the conservation feature was selected as a candidate of the protected areas. The other one presented shows that inexpensive land cost areas were selected. As this study produces visual results and enables an efficient application of various values in selecting protected areas, we believe that it will be useful to various stakeholders in spatial decision-making process.

• Korean Journal of Environment and Ecology
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• v.35 no.2
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• pp.193-203
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• 2021

As endangered species are gradually increasing due to land development by humans, it is essential to secure sufficient protected areas (PAs) proactively. Therefore, this study checked priority conservation areas to select candidate PAs when considering the impact of land development. We determined the conservation priorities by analyzing four scenarios based on existing conservation areas and reflecting the development impact using MARXAN, the decision-making support software for the conservation plan. The development impact was derived using the developed area ratio, population density, road network system, and traffic volume. The conservation areas of endangered species were derived using the data of the appearance points of birds, mammals, and herptiles from the 3rd National Ecosystem Survey. These two factors were used as input data to map conservation priority areas with the machine learning-based optimization methodology. The result identified many non-PAs areas that were expected to play an important role conserving endangered species. When considering the land development impact, it was found that the areas with priority for conservation were fragmented. Even when both the development impact and existing PAs were considered, the priority was higher in areas from the current PAs because many road developments had already been completed around the current PAs. Therefore, it is necessary to consider areas other than the current PAs to protect endangered species and seek alternative measures to fragmented conservation priority areas.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.19 no.1
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• pp.171-184
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• 2016

Suncheonman-Bay and its surrounding areas play important roles as habitats for migratory birds. However, sustainable management of these areas is difficult because of the development pressure of private lands. Therefore, the areas surrounding Suncheonman-Bay must be classified as additional protected areas; for this, it is necessary to gather concrete and objective evidence and ensure protected area management. Further, compensation measures must be considered when acquiring a private property as an additional protected area. In this study, we distinguish protected areas, such as core, buffer, and transition areas, within a private area by using data from the Winter Waterbird Census of Korea and MARXAN software, a spatial conservation prioritization tool. We applied ecosystem services to apply Payment for Ecosystem services (PES) as compensation measures. Watershed conservation (supply), climate control (regulation), supporting habitats (support), and recreation (culture) etc. were evaluated by calculating the economic value of these ecosystem services. Eastern, western, and northern forests and rice fields of Suncheonman-Bay were shown to have a number of core areas for the preservation of endangered species. The ecosystem service value of the additional protected areas was estimated at 17.5 million KRW/ha/year. We believe that our study result could be used to establish protected areas to preserve major habitats, as well as include areas adjacent to such major habitats that play a vital role in endangered species conservation. In addition, through this study, we highlight the need for an objective basis to establish protected areas.