• Journal of Forest and Environmental Science
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• v.28 no.2
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• pp.106-117
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• 2012

In an effort to analyze the impact of climate change, Gangwon provincial forest was divided into three sectors; forest ecology, forest disaster, and forest productivity and analysis of their current status from 2000 to 2009 and vulnerability assessment by climate change has been carried in this study. In case of vulnerability assessment, except for the forest ecology, forest disaster (forest fires and forest pests) and forest productivity sectors were analyzed in current status, the year of 2020, and 2050. It turned out that vulnerability of forest fires in the field of disaster would become worse and forest pests also would make more impact even though there is some variation in different areas. In case of the vulnerability of forest productivity there would be not a big difference in the future compared with current vulnerability. Systematic research on the sensitivity index used for vulnerability assessment is necessary since vulnerability assessment result greatly depends on the use of climate exposure index and adaptive capacity index.

• Journal of Forest and Environmental Science
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• v.33 no.4
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• pp.295-304
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• 2017

This study compared and analyzed the construction of a land use change matrix for the Intergovernmental Panel on Climate Change's (IPCC) land use, land use change, and forestry area (LULUCF). We used National Forest Inventory (NFI) permanent sample plots (with a sample intensity of 4 km) and permanent sample plots with 500 m sampling intensity. The land use change matrix was formed using the point sampling method, Level-2 Land Cover Maps, and forest aerial photographs (3rd and 4th series). The land use change matrix using the land cover map indicated that the annual change in area was the highest for forests and cropland; the cropland area decreased over time. We evaluated the uncertainty of the land use change matrix. Our results indicated that the forest land use, which had the most sampling, had the lowest uncertainty, while the grassland and wetlands had the highest uncertainty and the least sampling. The uncertainty was higher for the 4 km sampling intensity than for the 500 m sampling intensity, which indicates the importance of selecting the appropriate sample size when constructing a national land use change matrix.

• Journal of Forest and Environmental Science
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• v.28 no.2
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• pp.97-105
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• 2012

A Gangwon region consisting of over 80% of forest area has industries that have been developed by utilizing its clean region image. However, the recent climate change has increased the forest disease & insect pest as well as the forest fire and the major cause is known to be the increase in the frequency of a drought occurrence. From the aspect of climate change, it can be said that drought and forest are important in every aspect of the adaptation and mitigation of climate change measure as they increase forest disease & insect pest that leads to desolation of usable forest resource. In addition, the increase of forest fire reduces resources that can absorb greenhouse gas, which leads to increase in green house emission. The purpose of this study is to provide a motive for concentrating administrative power for protecting forest in a Gangwon region by selecting a drought management needed local government through a drought forecast according to the climate change scenario of a Gangwon region.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2019.08a
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• pp.124-125
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• 2019

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2019.08a
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• pp.122-123
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• 2019

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2015.08a
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• pp.126-130
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• 2015

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2019.08a
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• pp.232-233
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• 2019

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2015.08a
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• pp.131-134
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• 2015

• Journal of Forest and Environmental Science
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• v.35 no.1
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• pp.47-53
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• 2019

This study applies the concept of climate change vulnerability assessment in order to suggest climate change adaptation effects in a quantitative manner, given that previous studies have hitherto rely on qualitative assessment, as climate change adaptive policies are currently being implemented by local governments of Korea. The vulnerability assessment tool used in this study is VESTAP ("Vulnerability assESsment Tool to build a climate change Adaptation Plan"), which was developed by the Korea Adaptation Center for Climate Change (KACCC), and applied to gauge the vulnerability of pine trees to diseases and pests within Chungcheongnam-do. The climate change adaptation project for vulnerability improvement was assessed only in terms of forest disaster prevention and change in regional climate change vulnerabilities within 16 regions of Chungcheongnam-do as the result of 2016 Climate Change Adaptation Project (Forest Disaster Prevention Project). As a result, it was observed that climate change adaptive capacity has improved according to change in the area of forestland with disaster prevention, and the vulnerability indicator decreased, confirming the impact of the climate change adaptation (forest disaster prevention) project. Also, analysis of regional climate change adaptation project scales and change in vulnerabilities allowed us to determine the regional propriety of climate change adaptation (forest disaster prevention) projects launched in 2016.

• Journal of Climate Change Research
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• v.6 no.1
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• pp.33-40
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• 2015

Forests are to be recognized as an important carbon sink under the UNFCCC that consist of above- and below-biomass, dead organic matter (DOM) such as dead wood and litter, and soil organic matter (SOM). In order to asses for DOM and SOM, however, it is relevant to land-use change matrices over last 20 years for each land-use category. In this study, a land-use change matrix was produced and its uncertainty was assessed using a point sampling technique with permanent sample plots in national forest inventory at Chungbuk province. With point sampling estimated areas at 2012 year for each land-use category were significantly similar to the true areas by given six land-use categories. Relative standard error in terms of uncertainty of land-use change among land-use categories ranged in 4.3~44.4%, excluding the other land. Forest and cropland covered relatively large areas showed lower uncertainty compared to the other land-use categories. This result showed that selected permanent samples in the NFI are able to support for producing land-use change matrix at a national or province level. If the $6^{th}$ NFI data are fully collected, the uncertainty of estimated area should be improved.