• 한국기후변화학회지
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• 제6권1호
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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.

• 한국기후변화학회지
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• 제8권4호
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• pp.329-337
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• 2017

In this study, land-use changes from 1990 to 2010 in Jeju Island by different approaches were produced and compared to suggest a more efficient approach. In a sample-based method, land-use changes were analyzed with different sampling intensities of 2 km and 4 km grids, which were distributed by the fifth National Forest Inventory (NFI5), and their uncertainty was assessed. When comparing the uncertainty for different sampling intensities, the one with the grid of 2 km provided more precise information; ranged from 6.6 to 31.3% of the relative standard error for remaining land-use categories for 20 years. On the other hand, land-cover maps by a wall-to-wall approach were produced by using time-series Landsat imageries. Forest land increased from 34,194 ha to 44,154 ha for 20 years, where about 69% of total forest land were remained as forest land and 19% and 8% within forest lands were converted to grassland and cropland, respectively. In the case of grassland, only about 40% of which were remained as grassland and most of the area were converted to forest land and cropland. When comparing land-cover area by land-use categories with land-use statistics, forest areas were underestimated while areas of cropland and grassland were overestimated. In order to analyze land use change, it is necessary to establish a clear and consistent definition on the six land use classification.

• 한국기후변화학회지
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• 제9권4호
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• pp.385-398
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• 2018

Although the importance of developing reliable and systematic GHG inventory has increased, the GIS/RS-based national scale LULUCF (Land Use, Land-Use Change and Forestry) sector analysis is insufficient in the context of the Paris Agreement. In this study, the change in $CO_2$ storage of forest land due to land use change is estimated using two GIS/RS methodologies, Sampling and Wall-to-Wall methods, from 2000 to 2010. Particularly, various imagery with sampling data and land cover maps are used for Sampling and Wall-to-Wall methods, respectively. This land use matrix of these methodologies and the national cadastral statistics are classified by six land-use categories (Forest land, Cropland, Grassland, Wetlands, Settlements, and Other land). The difference of area between the result of Sampling methods and the cadastral statistics decreases as the sample plot distance decreases. However, the difference is not significant under a 2 km sample plot. In the 2000s, the Wall-to-Wall method showed similar results to sampling under a 2 km distance except for the Settlement category. With the Wall-to-Wall method, $CO_2$ storage is higher than that of the Sampling method. Accordingly, the Wall-to-Wall method would be more advantageous than the Sampling method in the presence of sufficient spatial data for GHG inventory assessment. These results can contribute to establish an annual report system of national greenhouse gas inventory in the LULUCF sector.

• 한국산림과학회지
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• 제112권3호
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• pp.267-279
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• 2023

본 연구는 IPCC에서 제시하고 있는 Approach 3 수준의 토지이용 및 토지피복 면적 추정을 위해 고해상도 항공사진에 딥러닝 알고리즘과 Sampling method를 적용하였으며, 표본강도에 따라 토지피복 면적을 산출하고 최적의 표본강도를 도출하는 것을 목적으로 하였다. 원격탐사자료로는 51 cm급의 고해상도 칼라 항공 이미지를 사용하였으며, 딥러닝 알고리즘은 전이 학습이 적용된 VGG16 아키텍처를 활용하였다. 딥러닝 기반 토지피복 분류모델의 학습과 검증은 육안판독을 통해 선별된 데이터를 이용하였다. 최적의 표본강도를 도출하기 위한 평가는 7개의 표본강도(4 × 4 km, 2 × 4 km, 2 × 2 km, 1 × 2 km, 1 × 1 km, 500 × 500 m, 250 × 250 m)에 따른 토지이용 및 토지피복 면적을 추정하고 환경부에서 제시한 토지피복지도와 비교하였다. 본 연구 결과, 딥러닝 기반의 토지피복 분류 모델의 전체정확도와 카파계수는 각각 91.1% 와 88.8%였다. F-Score는 초지를 제외한 모든 범주가 90% 이상으로 구축되어 모델의 정확도가 우수하였다. 표본강도별 적합도 검정은 유의수준 0.1에서 4 × 4 km를 제외한 모든 표본강도에서 환경부에서 제시한 토지피복지도의 면적 비율과 유의한 차이를 보이지 않았다. 또한, 표본강도가 증가할수록 상대표준오차와 상대효율은 감소하였으며, 상대표준오차는 1 × 1 km 표본강도에서 모든 토지피복범주가 15% 이하로 감소하였다. 따라서, 지역 단위의 토지피복 면적 산정을 위해서는 표본강도를 1 × 1 km보다 상세하게 설정하는 것이 적합하다고 판단된다.

• 생태와환경
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• 제54권1호
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• pp.61-70
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• 2021

The effects of forest type and fragmentation of forests by a road on the beetle community were investigated in the Gwangneung Forest, South Korea. Beetles were collected monthly using pitfall traps and by sweeping at 16 sites (eight in coniferous forests and eight in deciduous forests) for one year from April 1993 to April 1994, excluding winter. A total of 17,616 beetles belonging to 271 species from 39 families were collected. Among them, Synuchus cycloderus was the dominant species, with 14,060 individuals accounting for 80% of the total population. The influence of forest type (coniferous and deciduous) or sampling region (fragmented by a road) on species richness(number of species) was observed. We found that species richness was substantially different depending on the sampling method and taxa used. Beetles collected using pitfall traps responded more sensitively to habitat types than those collected by sweeping. Four dominant families differently responded to forest fragmentation and forest types. Carabidae was influenced by forest fragmentation, whereas Staphylinidae and Curculionidae were influenced by forest types. Chrysomelidae was not influenced.

• Journal of Forest and Environmental Science
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• 제30권1호
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• pp.45-49
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• 2014

This study was tried to find out the applicability of decision support system for forest land use conversion, which developed based on algorithm for forest land-use conversion. Decision support system developed by Ministry of Safety Administration is free from the existing licensed laws omission. And it made the input requirements for each value of the final result so that you can determine whether the permit was available by the laws and regulations related to the algorithm for forest land use conversion. Also, in order to do field surveys, equal sampling interval method is used to extract samples for the operability by comparing and analyzing the actual area. As a result, 88 areas of total 100 areas are able to get permission by the decision support system for forest land use conversion, and it means if there is enough data with sufficient research, it can make the availability permits easily.

• Journal of Forest and Environmental Science
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• 제33권1호
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• pp.1-7
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• 2017

In the present exploration we identified perception of forest dependent communities in relation to impact of climate change on forest ecosystem in and around Chilapatta reserve forest in northern part of West Bengal, India. Purposive sampling method was used for selection of area and random sampling method was used for selection of respondent. The data collection in this study was through questionnaire based personal in-depth interviews. Almost all the respondents (94%) were farmers and rest had occupation other than farming. Almost all the respondents perceived negative impact of climate change on forest though the level of perception varies from very low to medium (0.23-0.52) based on average perception score after assigning score to individual statements. The level of perception on impact of climate change on forest ecology and forest flora of the community is low and very low as the average perception score is 0.39 and 0.23, respectively while, it is medium (0.52) for forest fauna. Alternately their perception on decreased stream/river flow and quick drying of seasonal streams or water bodies is based on their livelihood experience as they depend on these for their domestic and irrigation water use and fish catch for family diet.

• 한국산림과학회지
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• 제95권5호
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• pp.595-600
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• 2006

The plot design influences the budgets and the precision of forest inventory results. The objective of this study is to determine the efficiency of estimating forest variables such as tree density, basal area, volume, and species richness based on various plot sizes using fixed-area plot sampling in the natural deciduous forest of Pyeong-Chang County, Gang-won Province, Korea. In this study, 108 reference plots were established with a fixed plot size and shape of 0.09 ha ($30m{\times}30m$). In order to determine the optimal plot size for the interest of variables, each sample plot was established using different shapes (square, circle, and rectangle) and was divided into different plot sizes from 100 to $900m^2$. The mean relative difference (MRD) for the sum of the basal area and volume, and tree density per hectare decreased as plot size increased. But the MRD for three variables were only below 13% at the plot size of $500m^2$. Species richness for each reference stand observed ranging from 2 to 15 species, demonstrated highly positive significant relationships with plot size. The minimum plot size for the estimation of tree density, the sum of the BA and volume was determined to be about $400m^2$, whereas the estimation of species richness required a minimum plot size of $500m^2$.

• Journal of Forest and Environmental Science
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• 제35권3호
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• pp.205-211
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• 2019

The objective of this research was to assess the amount of carbon stock of coarse woody debris (CWD) in Bombo-Lumene Reserve. Data on lying CWD was collected on 35 circular sampling plots using Line Intersect Sampling (LIS) method. A total of 230 samples CWD (${\geq}10cm$ diameter) were inventoried. The mean carbon stocks of CWD was $29.48Mg\;C\;ha^{-1}$, ranging from 4.32 to $73.54Mg\;C\;ha^{-1}$. The CWD carbon stocks displayed a wide range of variation in decay states. The allocation of CWD among the decay class of all the CWD samples reveals that the most important classes were class 1 and class 3 with 323.66 and $321.96Mg\;C\;ha^{-1}$, followed by class 4 with 264.56 and the last one was class 2 with $121.72Mg\;C\;ha^{-1}$. The results suggested that the dead wood component is important in carbon sequestration and should be taken into consideration for quantification of carbon stocks not only in Bombo-Lumene Reserve, but in all forest ecosystems in the Democratic Republic of Congo.

• 한국산림과학회지
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• 제80권4호
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• pp.379-382
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• 1991

난괴법 3반복(反復)으로 배치(配置)한 잣나무 10년생(年生) 반형매차대검정림(半兄妹次代檢定林)에서 plot당(當) 임의(任意)로 2-10본(本)의 표본목(標本木)을 선정(選定)한 후(後), 분산분석(分散分析)을 통하여 가계평균(家系平均) 수고(樹高)의 오차(誤差)를 나타내는 C.V. 값을 각(各) sampling size 별(別)로 추정(推定), 비교(比較)하였다. plot당(當) 표본목수(標本木數)를 증가(增加)시킴에 따라 C.V.값은 점차 감소(減少)되었으며, plot당(當) 4본(本)부터 안정(安定)된 C.V. 값(6.97%)을 나타내었으나, plot당(當) 7본(本)부터는 실험오차(實驗誤差)가 증가(增加)됨을 알 수 있었다. 이들 두 변량간(變量間)에 ${\hat{Y}}=10.425e-^{0.073x}$ ($R^2$=0.840)의 관계식(關係式)을 추정(推定)할 수 있었다.