• Journal of Korean Society of Forest Science
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• v.99 no.3
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• pp.285-291
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• 2010

Since 2006, the $5^{th}$ National Forest Inventory (NFI) has been implemented to provide forest resources statistics at the national level and at the county level as well. However, it needs a small-area estimator for estimating forest statistics at the county-level due to a small number of samples collected within a county. This study was conducted to evaluate the applicability of a geographical-based synthetic estimator for estimating forest growing stock volumes at the county level. The NFI-field plots surveyed were post-stratified into three forest cover types. In the synthetic estimator, field plots within a geographical-based super-county for each county were used to estimate stratum weights and stratum mean volumes. It was resulted that estimated stratum weights using the synthetic estimation were significantly differ from forest cover maps. The standard errors of estimated mean by the synthetic estimation that ranged from ${\pm}3.5\;m^3$/ha to ${\pm}7.7\;m^3$/ha were more smaller than those (${\pm}7.8\;m^3/ha{\sim}{\pm}24.7\;m^3/ha$) by the direct estimation. This means that the synthetic estimation is possible to provide more precise estimates of mean volumes.

• Journal of Korean Society of Forest Science
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• v.106 no.3
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• pp.330-339
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• 2017

In Korea, metropolitan cities and provinces are responsible for setting up their own Regional Forest Plans to manage the forests at regional scales distinguished by administrative boundaries, and the role of the plans are very crucial by linking the Forest Basic Plan for nationwide forest management policy with Forest Management Plans for local-level forest management practices. Thus, the analysis of forest resources at regional levels is required to make more efficient regional forest plans by properly reflecting regional forest situations. This study aims to present which species are concentrated at each individual metropolitan city or province, contributing to more efficiently establishing its regional forest plan. In order to measure the concentration levels of species for each region, Location Quotient and Relative-Specialization Index are computed using area- and volume-data for the major species selected in the Statistical Yearbook of Forestry. As a result, the ranks among the indices of the major species for each individual municipal city and province are presented. The results from this study can contribute to the selection of regional target species and establishment of regional forest management objectives. Further study regarding the differences between the results from area-based and volume-based indices will be helpful to consider regional level productivity by species into the regional forest plans.

• Journal of Korean Society of Forest Science
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• v.100 no.2
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• pp.256-265
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• 2011

This study was aiming at assessing the vulnerability of forest distribution by the A2 and B1 climate change scenarios of Intergovernmental Panel on Climate Change (IPCC). The vulnerability of forest distribution was assessed using its sensitivity and adaptation to climate change with the help of the simulations of Korean-specific forest distribution model, so-called the Thermal Analogy Group (TAG), and the Plant Functional Type (PFT) defined in the HyTAG (Hydrological and Thermal Analogy Groups) model. As a result, the vulnerable area occupied 30.78% and 2.81% of Korea in A2 and B1 scenario, respectively. When it comes to the administrative districts, Pusan in A2 and Daegu in B1 appeared the most vulnerable area. This study would be employed into preparation of adaptative measures for forest in future in terms of using climate change scenarios reflecting different future development conditions.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2022.09a
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• pp.44-44
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• 2022

본 연구는 산림 생물다양성 특정 지역인 풍혈지 25개소를 대상으로 기후변화에 취약한 북방계식물 등의 현지내·외 보전 대책 수립과 풍혈지의 산림유전자원보호지역 지정을 위한 기초자료로 활용하기 위하여 조사를 수행하였다. 조사는 풍혈의 바람이 나오는 핵심지역 10m 를 중심으로 동서남북으로 각각 50m 범위에서 실시하였고, 2016년 4월부터 2021년 11월까지 계절별로 각 1~2회씩 수행하였다. 한국의 25개소 풍혈지의 관속식물상은 125과 486속 947종 23아종 75변종 7품종 총 1,052분류군으로 확인되었다. 조사 면적은 최대 0.09km²로 우리나라 산림면적 62,860km²의 0.00014%에 불과하지만, 우리나라 관속식물의 4,724종 중에서 22.27%가 출현하였다. 이는 풍혈지역이 산림생물다양성의 가치가 매우 높은 지역임을 확인해 볼 수 있다. 특기할만한 식물은 멸종위기야생생물이 산작약, 으름난초 등 6분류군, 희귀식물과 적색목록은 월귤, 개병풍 등 67분류군, 한반도 특산식물과 고유종이 병꽃나무 등 58분류군, 식물구계학적 특정식물은 개느삼 등 총 317분류군이 조사되었다. 북방계식물은 토끼고사리 등 181분류군, 석회암지대 식물은 덕우기름나물 등 32분류군이 확인되었다. 외래식물은 개망초, 달맞이꽃 등 75분류군이 확인되었고, 귀화율 7.13%와 도시화율 12.12%로 산출되었다. 본 연구대상지인 풍혈지 25개소의 식물지리학적 특정식물은 월귤, 흰인가목, 꽃개회나무, 각시괴불나무, 산솜방망이 등으로 파악되었다.

• Journal of Korean Society of Forest Science
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• v.97 no.1
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• pp.1-9
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• 2008

It is necessary to examine relationship between spatial patterns of forest types and characteristics of forest fires for efficient management of fire and forest. By the ecoregions of South Korea, we computed landscape indices for whole types of forests(landscape level) and pine forests(class level), and analyzed characteristics of forest fires using statistics of forest fires from 1991 to 2006. We performed canonical correlation analysis to model the relationship between the landscape indices and the statistics of forest fires. At landscape level, forest patches were larger and more complex in the ecoregions which had higher percentage of forest area. At class level, pine forest patches were more complex and closer to neighbor patches in the coastal ecoregions. The ecoregions including metropolitan areas and cities had more frequent fire occurrences per 1,000ha, while mountainous coastal ecoregions had more burned areas and faster spread of fire growth rate. The canonical correlation between the landscape indices for pine forests and the statistics of forest fires was statistically significant at the 0.05 level and explained more than 70% of the variation in fire variables. The results showed that combustion time per fire was longer in the ecoregions which had larger and more aggregated pine forest patches.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.4
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• pp.41-50
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• 2010

Because mountain area covers a large proportion of entire country, the forest fire have been an important matter in disaster prevention in Korea. Estimation of damaged area after forest fire would be very important because it would be the basis to make budget or to calculate quantities in the restoration plan for the damaged area. In Korea, the damaged area from forest fire is generally surveyed using GPS. In practice, however, the estimation of damaged area from forest fire have been inaccurate in lots of case due to some problems. Korea Forest Service which is taking charge of prevention of forest fire in Korea is managing a large number of helicopters for forest service on the whole country. So, it would be possible to take snapshots of the damaged area after forest fire from the helicopter using a digital camera. This study aims to establish a suitable method to estimate damaged area after forest fire using snapshots which are taken in the air using a digital camera. So, several approaches were implemented and compared. In future, results of this study could be used in a development of a system for investigation of damages from forest fire using digital photographs.

• Journal of Korean Society of Forest Science
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• v.112 no.3
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• pp.267-279
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• 2023

This research assessed the feasibility of using high-resolution aerial images and deep learning algorithms for estimating the land-use and land-cover areas at the Approach 3 level, as outlined by the Intergovernmental Panel on Climate Change. The results from different sampling densities of high-resolution (51 cm) aerial images were compared with the land-cover map, provided by the Ministry of Environment, and analyzed to estimate the accuracy of the land-use and land-cover areas. Transfer learning was applied to the VGG16 architecture for the deep learning model, and sampling densities of 4 × 4 km, 2 × 4 km, 2 × 2 km, 1 × 2 km, 1 × 1 km, 500 × 500 m, and 250 × 250 m were used for estimating and evaluating the areas. The overall accuracy and kappa coefficient of the deep learning model were 91.1% and 88.8%, respectively. The F-scores, except for the pasture category, were >90% for all categories, indicating superior accuracy of the model. Chi-square tests of the sampling densities showed no significant difference in the area ratios of the land-cover map provided by the Ministry of Environment among all sampling densities except for 4 × 4 km at a significance level of p = 0.1. As the sampling density increased, the standard error and relative efficiency decreased. The relative standard error decreased to ≤15% for all land-cover categories at 1 × 1 km sampling density. These results indicated that a sampling density more detailed than 1 x 1 km is appropriate for estimating land-cover area at the local level.

• Journal of Korean Society of Forest Science
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• v.109 no.4
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• pp.454-460
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• 2020

The goal of this study was to classify the area of Larix kaempferi forest available for timber production, considering the legal, physical, environmental, and technical constraints, and to optimize the forest resources and the potential of timber production in South Korea for 50 years. The results showed that the area of Larix kaempferi forest available for timber production is limited to 124,000 ha, 48% of the total area. Without further efforts in resource management, sustainable timber production of Larix kaempferi cannot be guaranteed even at the current level of timber supply. To enhance the potential of timber production for this species, two alternatives were considered: a 705-km annual increment of forest roads (alternative 1) and a 1,000-kmannual increment of forest roads (alternative 2) to enlarge forest areas available for timber production. The results showed that alternative 1 is feasiblefor sustainable timber production both at the current level and with a 5% increment of timber supply. However, alternative 1 is not sufficient in the case of a 10% increment of timber supply with a low growing stock, whereas alternative 2 is sufficient. Therefore, an increase in forests roads as well as regeneration efforts are required to improve the timber production potential of Larix kaempferi in South Korea.

• Feed Journal
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• v.4 no.9 s.37
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• pp.88-93
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• 2006

우리나라는 전 국토의 약 64%가 산으로 구성되어 있으며 우리나라 산림에 존재하는 임목의 총량은 4억 9.000만㎣ 이지만 이중 30년생 이하의 어린 나무가 전체 산림의 60%를 차지하는 유령림(幼齡林)으로 구성되어 있다. 유령림은 일정 면적 내에 나무의 개체 수가 지나치게 많고 가늘기 때문에 경제적인 가치가 낮으므로 우리숲의 경제적 가치를 높이기 위해서는 적극적인 숲가꾸기가 필수적이다. 그래서 산림청에서는 우리 산림을 대상으로 지속적인 숲가꾸기 사업을 실시하고 있다.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2018.06a
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• pp.21-38
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• 2018