• Journal of Korean Society of Forest Science
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• v.110 no.2
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• pp.155-164
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• 2021

Many studies have been conducted on developing automatic plant identification algorithms using machine learning to various plant features, such as leaves and flowers. Unlike other plant characteristics, barks show only little change regardless of the season and are maintained for a long period. Nevertheless, barks show a complex shape with a large variation depending on the environment, and there are insufficient materials that can be utilized to train algorithms. Here, in addition to the previously published bark image dataset, BarkNet v.1.0, images of barks were collected, and a dataset consisting of 53 tree species that can be easily observed in Korea was presented. A convolutional neural network (CNN) was trained and tested on the dataset, and the factors that interfere with the model's performance were identified. For CNN architecture, VGG-16 and 19 were utilized. As a result, VGG-16 achieved 90.41% and VGG-19 achieved 92.62% accuracy. When tested on new tree images that do not exist in the original dataset but belong to the same genus or family, it was confirmed that more than 80% of cases were successfully identified as the same genus or family. Meanwhile, it was found that the model tended to misclassify when there were distracting features in the image, including leaves, mosses, and knots. In these cases, we propose that random cropping and classification by majority votes are valid for improving possible errors in training and inferences.

• Journal of Korean Society of Forest Science
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• v.100 no.1
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• pp.62-69
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• 2011

Six commonly used non-linear growth functions were fitted to individual tree height-dbh data of eight major tree species measured by the $5^{th}$ National Forest Inventory in Chungcheong province. A total of 2,681 trees were collected from permanent sample plots across Chungcheong province. The available data for each species were randomly splitted into two sets: the majority (90%) was used to estimate model parameters and the remaining data (10%) were reserved to validate the models. The performance of the models was compared and evaluated by $R^2$, RMSE, mean difference (MD), absolute mean difference (AMD) and mean difference(MD) for diameter classes. The combined data (100%) were used for final model fitting. The results showed that these six sigmoidal models were able to capture the height-diameter relationships and fit the data equally well, but produced different asymptote estimates. Sigmoidal growth models such as Chapman-Richards, Weibull functions provided the most satisfactory height predictions. The effect of model performance on stem volume estimation was also investigated. Tree volumes of different species were computed by the Forest Resources Evaluation and Prediction Program using observed range of diameter and the predicted tree total height from the six models. For trees with diameter less than 30 cm, the six height-dbh models produced very similar results for all species, while more differentiation among the models was observed for large-sized trees.

• Journal of Korean Society of Forest Science
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• v.111 no.4
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• pp.502-510
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• 2022

In the national greenhouse gas inventory, a settlements category has never been included owing to the lack of activity data. Therefore, this study was conducted to obtain basic data for estimating biomass carbon storage in settlements. Nondestructive stem analysis with a laser dendrometer was performed on four major street tree species (Metasequoia glyptostroboides, Prunus armeniaca, Ginkgo biloba, and Acer buergerianum) in Wonju city, South Korea. Allometric equations of the aboveground volume were developed using five models, and allometric equations of crown area were developed with diameter at breast height (DBH) as an independent variable. The best performing allometric equations were aD²+bD+c for M.glyptostroboides and G. biloba, aD+bD² for P. armeniaca, and a+bD² for A. buergerianum. Regarding the allometric equations of crown area with DBH as an independent variable, G. biloba and A. buergerianum exhibited low coefficients of determination (R²), i.e., < 0.364, whereas M. glyptostroboides and P. armeniaca exhibited satisfactory R² values, i.e., > 0.767, probably due to different street tree management practices. The allometricequations in this study will support the carbon inventory of settlements and urban tree monitoring in management practices.

• The Journal of Korean Medicine
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• v.19 no.2
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• pp.326-336
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• 1998

면역 결핍 바이러스와 허피즈 바이러스 -1,2에 대한 한약의 항바이러스 작용을 관찰하기 위하여, 세포 바이러스 검색에 초기 독성과 감염 바이러스의 생존 세포 수를 비교적 단기간내 볼 수 있는 96-well plate를 이용한 MTT assay로 측정하였다. 본 실험은 예비 실험 단계에서 사용된 총 85가지의 한약중 단미제 6가지와 복합처방 44가지를 선정하였으며 복합처방은 유사한 치법으로 분류하였고 한약의 시료 추출은 순수하게 물로 전탕하여 여과하였다. 실험 결과 파두와 맥아가 면액 결핍 바이러스에 대해 감염초기 유의성이 있었으며 호장근, 갈근우방자탕과 형방패독산이 허피즈 바이러스-1,2에 대해 감염초기 유의성이 있었으나 실험의 시간 경과에 따른 지속적인 약효 안정성을 보이지는 못하였다. 이 실험을 통하여 한약을 이용한 우수한 바이러스 치료를 개발하기 위해서는 단미제나 복합 처방에서 항바이러스 작용이 큰 유효성분의 대량 분리와 세포 실험에 있어서 오차를 줄 일 수 있는 세포면역학적 실험의 도입 등이 필요할 것으로 사료된다.

• Journal of Korean Society of Forest Science
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• v.110 no.3
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• pp.393-405
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• 2021

With increasing anthropogenic emission sources, air pollutants are emerging as a severe environmental problem worldwide. Accordingly, the importance of landscape trees is emerging as a potential solution to reduce air pollutants, especially in urban areas. This study quantified and compared NO₂ and SO₂ reduction abilities of ten major landscape tree species and analyzed the relationship between reduction ability and physiological and morphological characteristics. The results showed NO₂ reduction per leaf area was greatest in Cornus officinalis (19.81 ± 3.84 ng cm^-2 hr^-1) and lowest in Pinus strobus (1.51 ± 0.81 ng cm^-2 hr^-1). In addition, NO₂ reduction by broadleaf species (14.72 ± 1.32 ng cm^-2 hr^-1) was 3.1-times greater than needleleaf species (4.68 ± 1.26 ng cm^-2hr^-1; P < 0.001). Further, SO₂ reduction per leaf area was greatest in Zelkova serrata (70.04 ± 7.74 ng cm^-2 hr^-1) and lowest in Pinus strobus (4.79 ± 1.02 ng cm^-2 hr^-1). Similarly, SO₂ reduction by broadleaf species (44.21 ± 5.01 ng cm^-2 hr^-1) was 3.9-times greater than needleleaf species (11.47 ± 3.03 ng cm^-2 hr^-1; P < 0.001). Correlation analysis revealed differences in NO₂ reduction was best explained by chlorophyll b content (R² = 0.671, P = 0.003) and SO₂ reduction was best described by SLA and length of margin per leaf area (R² = 0.456, P = 0.032 and R² = 0.437, P = 0.001, R² = 0.872, P < 0.001, respectively). In summary, the ability of trees to reduce air pollutants was related to photosynthesis, evapotranspiration, stomatal conductance, and leaf thickness. These findings highlight effective reduction of air pollutants by landscaping trees requires comprehensively analyzing physiological and morphological species characteristics.

• Journal of the Korean Wood Science and Technology
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• v.15 no.4
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• pp.1-11
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• 1987

한국산(韓國産) 활엽수재(潤葉樹材) 27과(科) 45속(屬) 82종(種)을 선정(選定)하여 이들 목부(木部)에 존재(存在)하는 결정(結晶)의 형태(形態) 및 분포(分布)를 조사(調査)함으로써 얻은 결과(結果)를 간단히 요약(要約)하면 다음과 같다. 1. 다면체형(多面體形)의 결정(結晶)이 가장 많이 관찰(觀察)되었으며 집정(集晶)도 종종 관찰(觀察)되었으나 주정(柱晶)은 극히 일부 수종(樹種)에서만 나타났다. 2. 이러한 결정(結晶)은 주로 축방향유조직(軸方向柔組織) 및 방사조직(放射組織)에 존재(存在)하였으며 수(髓), 타일로시스, 진정목섬유(眞正木纖維) 및 수반점(髓斑點)에서도 그 존재(存在)가 확인(確認)되었다. 3. 대부분의 결정세포(結晶細布)는 재분제(再分製) 및 확대(擴大)를 통하여 변형(變形)되므로써 결정(結晶)을 지니지 않은 세포(細胞)와 그 형태적(形態的)인 차이를 나타내었다.

• Journal of Plant Biology
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• v.35 no.4
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• pp.339-358
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• 1992

The bark morphology and anatomy of six species in Korean gymnosperms were examined with light and scanning electron microscopes. The species were Thuja orientalis (Cupressaceae), Ginkgo biloba (Ginkgoaceae), Cyeas revoluta (Cycadaceae), Pinus koraiensis (pinaceae), Taxus cuspidata (Taxaceae), Cryptomeria japoniea (Taxodiaceae). We described the bark features such as surface colour, thickness, depth of inner and outer bark. presense or absence and features of expansion tissue of ray, composition of periderm, and component cells of secondary phloem. The comparison with these features showed significant differences among all six species. Furthermore. it was suggested that sclereids types and sieve area shapes in sieve cells might be useful to the comparative morphological studies of gymnosperms.sperms.

• Landscaping Tree
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• s.126
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• pp.57-60
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• 2012

조경수 재배를 위하여 대상 수종이 선정되었다면 그 나무의 특성을 살리기 위해 어떻게 번식하여야 할지 결정하여야 한다. 만약 배롱나무의 꽃 색깔이나 수형이 특이한 개체가 있다면 이 형질을 유지하기 위해서는 영양번식을 하여야 하는데 배롱나무는 삽목이 잘되므로 꺾꽂이를 하는 것이 맞을 것이다. 파종번식의 경우 다른 개체와 교잡이 이루어져 원하는 형태의 형질을 얻을 수 없게 된다. 번식방법은 유성번식과 무성번식으로 나눌 수 있는데 유성번식이란 씨앗을 파종하며 다른 나무의 꽃가루를 받아 수정(fertilization)이 이루어져 열매가 맺히게 된다. 이 방법의 장점은 한꺼번에 많은 개체를 동시에 생산할 수 있어 대량번식이 가능할 뿐 아니라 번식이 비교적 쉽고 교잡을 통하여 다양한 형질이 나타나므로 새로운 품종으로 육종할 수 있는 장점이 있지만 품종변이를 일으키므로 우수한 품종을 번식하기 위해서는 무성번식을 해야 하는데 식물의 생장점 일부를 취하여 새로운 독립된 개체로 유도하는 방법으로 모수의 형질이 그대로 이어지므로 우수품종의 번식에 이용되는데 삽목, 접목, 취목, 분주, 조직배양 등 다양한 방법이 있으며 숙련된 기술이 필요로 한다.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2019.08a
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• pp.234-235
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• 2019

• Journal of Forest and Environmental Science
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• v.16 no.1
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• pp.119-123
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• 2000

This paper studies the methods to support decision making for forest management Using GIS. Specially, most important is selecting restrict area to timber harvest suitable on scheduling its harvest in experimental forest of kangwon national university. Because timber harvesting causes water pollution, land sliding and soil erosion, it is necessary to restrict area to be harvest. The study is analyzed with Buffering modules and overlay modules which are an function of Arcinfo 7.1. As a result, restricted area is 52.64ha in total area. Of which Hardwood stand 13.21ha, pinus Pinus koraiensis stand 26.44ha, Larix leptolepis stand 12.38ha and Pinus rigida stand 0.61ha.